2D Feature Extraction |
Feature Extraction |
|
3 |
ABRicate |
Mass screening of contigs for antimicrobial and virulence genes |
Antimicrobial resistance prediction
|
9 |
ABRicate List |
List all of abricate's available databases. |
Antimicrobial resistance prediction
|
9 |
Abundance index |
computation across species, sites and years |
|
1 |
Abundance index |
computation across species, sites and years |
|
1 |
ABySS |
de novo sequence assembler |
|
9 |
Add column |
to an existing dataset |
Editing
|
2 |
Add expression data |
(RNAseq or Immuno-assays)[Human Protein Atlas] |
|
3 |
Add line to file |
writes a line of text at the begining or end of a text file. |
|
1 |
Add LoFreq alignment quality scores |
to aligned read SAM/BAM records |
|
4 |
Add or Replace Groups |
|
|
3 |
Add protein features |
[neXtProt] |
|
3 |
AddCommentsToBam |
add comments to BAM dataset |
|
14 |
AddOrReplaceReadGroups |
add or replaces read group information |
|
14 |
addstring2fashead |
Converts fasta file with sequences from same species and gene family to phytab format |
|
1 |
AEGeAn ParsEval |
compare two sets of gene annotations for the same sequence. |
Genome annotation
|
1 |
Aggregate datapoints |
Appends the average, min, max of datapoints per interval |
|
2 |
Alevin |
Quantification and analysis of 3-prime tagged-end single-cell sequencing data |
|
8 |
Align reads and estimate abundance |
on a de novo assembly of RNA-Seq data |
|
12 |
Align.check |
Calculate the number of potentially misaligned bases |
|
6 |
Align.seqs |
Align sequences to a template alignment |
|
5 |
alignmentsieve |
Filter BAM/CRAM files according to specified parameters |
|
7 |
alimask |
append modelmask line to a multiple sequence alignments |
|
7 |
Alleyoop |
- post-processing and QC of Slamdunk analyses |
|
5 |
Amova |
Analysis of molecular variance |
|
5 |
Annotate |
a VCF dataset with custom filters |
|
1 |
Annotate DESeq2/DEXSeq output tables |
Append annotation from GTF to differential expression tool outputs |
|
2 |
Annotate with DGI |
database info |
|
1 |
Annotate with DGI |
database info |
|
1 |
annotateMyIDs |
annotate a generic set of identifiers |
|
11 |
Anosim |
Non-parametric multivariate analysis of changes in community structure |
|
5 |
antigenic |
Predicts potentially antigenic regions of a protein sequence, using the method of Kolaskar and Tongaonkar. |
|
5 |
Arithmetic Operations |
on tables |
|
2 |
ARTIC minion |
Build consensus sequence and call variants from amplicon-based nanopore sequence data |
|
5 |
Associate |
HUMAnN2 functions with metadata |
|
3 |
ASTRAL-III. Tool for estimating an unrooted species tree given a set of unrooted gene trees. |
|
|
1 |
Augustus |
gene prediction for prokaryotic and eukaryotic genomes |
|
8 |
Auto Threshold |
applies a standard threshold algorithm to an image |
|
3 |
Autocorrelation test |
check for temporal autocorrelation in the residuals |
|
1 |
Autocorrelation test |
check for temporal autocorrelation in the residuals |
|
1 |
Automated multiple sequence |
alignment with pipelign |
|
1 |
AXT to concatenated FASTA |
Converts an AXT formatted file to a concatenated FASTA alignment |
Conversion
|
1 |
AXT to FASTA |
Converts an AXT formatted file to FASTA format |
Conversion
|
1 |
AXT to LAV |
Converts an AXT formatted file to LAV format |
Conversion
|
1 |
backtranseq |
Back translate a protein sequence |
|
7 |
BAM filter |
Removes reads from a BAM file based on criteria |
|
4 |
BAM Index Statistics |
|
|
3 |
BAM to Wiggle |
converts all types of RNA-seq data from .bam to .wig |
|
10 |
BAM-to-SAM |
convert BAM to SAM |
|
5 |
BAM/SAM Mapping Stats |
reads mapping statistics for a provided BAM or SAM file. |
|
10 |
bamCompare |
normalizes and compares two BAM or CRAM files to obtain the ratio, log2ratio or difference between them |
|
16 |
bamCoverage |
generates a coverage bigWig file from a given BAM or CRAM file |
|
18 |
BamLeftAlign |
indels in BAM datasets |
|
12 |
bamPEFragmentSize |
Estimate the predominant cDNA fragment length from paired-end sequenced BAM/CRAM files |
|
16 |
banana |
Bending and curvature plot in B-DNA |
|
5 |
Bandage Image |
visualize de novo assembly graphs |
|
8 |
Bandage Info |
determine statistics of de novo assembly graphs |
|
6 |
Bar chart |
for multiple columns |
|
2 |
Barcode Splitter |
|
|
4 |
Barplot |
stratified HUMAnN2 features |
|
3 |
Base Coverage |
of all intervals |
Quantification
|
5 |
basil |
Breakpoint detection, including large insertions |
|
1 |
Batch_correction |
Corrects intensities for signal drift and batch-effects |
|
4 |
bax2bam |
converts PacBio basecall format (bax.h5) into BAM |
Conversion
|
2 |
BayeScan |
Detecting natural selection from population-based genetic data |
|
1 |
bcf_uncompressed-to-bcf |
converter |
|
1 |
bcftools call |
SNP/indel variant calling from VCF/BCF |
|
12 |
bcftools cnv |
Call copy number variation from VCF B-allele frequency (BAF) and Log R Ratio intensity (LRR) values |
|
14 |
bcftools color-chrs |
plugin Color shared chromosomal segments, requires phased GTs |
|
8 |
bcftools concat |
Concatenate or combine VCF/BCF files |
|
10 |
bcftools consensus |
Create consensus sequence by applying VCF variants to a reference fasta file |
|
13 |
bcftools csq |
Haplotype aware consequence predictor |
|
11 |
bcftools frameshifts |
plugin Annotate frameshift indels |
|
8 |
bcftools merge |
Merge multiple VCF/BCF files from non-overlapping sample sets to create one multi-sample file |
|
11 |
bcftools norm |
Left-align and normalize indels; check if REF alleles match the reference; split multiallelic sites into multiple rows; recover multiallelics from multiple rows |
|
13 |
bcftools stats |
Parses VCF or BCF and produces stats which can be plotted using plot-vcfstats |
|
12 |
bcftools view |
VCF/BCF conversion, view, subset and filter VCF/BCF files |
|
14 |
bcftoolsView |
Convert, filter, subset VCF/BCF files |
|
1 |
BEAM |
significant single- and multi-locus SNP associations in case-control studies |
|
1 |
BEAST 1.7.2 |
Bayesian evolutionary analysis by sampling trees. |
|
1 |
beautifyfasta |
Converts interleaved fasta to non-interleaved |
|
1 |
bed to protein map |
genomic location of proteins for MVP |
|
2 |
BED-to-bigBed |
converter |
Conversion
|
2 |
BED-to-GFF |
converter |
Conversion
|
1 |
BedCov |
calculate read depth for a set of genomic intervals |
|
5 |
BedToIntervalList |
convert coordinate data into picard interval list format |
|
14 |
bedtools AnnotateBed |
annotate coverage of features from multiple files |
|
21 |
bedtools BAM to BED |
converter |
|
23 |
bedtools BED to BAM |
converter |
|
21 |
bedtools BED to IGV |
create batch script for taking IGV screenshots |
|
16 |
bedtools BED12 to BED6 |
converter |
|
20 |
bedtools BEDPE to BAM |
converter |
|
21 |
bedtools ClosestBed |
find the closest, potentially non-overlapping interval |
|
21 |
bedtools ClusterBed |
cluster overlapping/nearby intervals |
|
20 |
bedtools ComplementBed |
Extract intervals not represented by an interval file |
|
21 |
bedtools ExpandBed |
replicate lines based on lists of values in columns |
|
20 |
bedtools FisherBed |
calculate Fisher statistic between two feature files |
|
20 |
bedtools FlankBed |
create new intervals from the flanks of existing intervals |
|
21 |
bedtools Genome Coverage |
compute the coverage over an entire genome |
|
20 |
bedtools GroupByBed |
group by common cols and summarize other cols |
|
20 |
bedtools JaccardBed |
calculate the distribution of relative distances between two files |
|
20 |
bedtools LinksBed |
create a HTML page of links to UCSC locations |
|
20 |
bedtools MakeWindowsBed |
make interval windows across a genome |
|
21 |
bedtools MaskFastaBed |
use intervals to mask sequences from a FASTA file |
|
20 |
bedtools Merge BedGraph files |
combines coverage intervals from multiple BEDGRAPH files |
|
20 |
bedtools MergeBED |
combine overlapping/nearby intervals into a single interval |
|
20 |
bedtools MultiCovBed |
counts coverage from multiple BAMs at specific intervals |
|
20 |
bedtools Multiple Intersect |
identifies common intervals among multiple interval files |
|
23 |
bedtools OverlapBed |
computes the amount of overlap from two intervals |
|
20 |
bedtools RandomBed |
generate random intervals in a genome |
|
21 |
bedtools ReldistBed |
calculate the distribution of relative distances |
|
20 |
bedtools ShuffleBed |
randomly redistrubute intervals in a genome |
|
21 |
bedtools SlopBed |
adjust the size of intervals |
|
22 |
bedtools SortBED |
order the intervals |
|
20 |
bedtools SpacingBed |
reports the distances between features |
|
17 |
bedtools SubtractBed |
remove intervals based on overlaps |
|
20 |
bedtools TagBed |
tag BAM alignments based on overlaps with interval files |
|
20 |
bedtools WindowBed |
find overlapping intervals within a window around an interval |
|
20 |
bigwigCompare |
normalizes and compares two bigWig files to obtain the ratio, log2ratio or difference between them |
|
16 |
Bin.seqs |
Order Sequences by OTU |
|
5 |
Binary 2 Label |
Converts Binary to Label Image |
|
2 |
biosed |
Replace or delete sequence sections |
|
5 |
Bismark Deduplicate |
Deduplicates reads mapped by Bismark |
|
9 |
Bismark Mapper |
Bisulfite reads mapper |
|
15 |
Bismark Meth. Extractor |
Reports on methylation status of reads mapped by Bismark |
|
11 |
Bismark Pretty Report |
Generates a graphical HTML report page from report outputs of Bismark |
|
9 |
BLAST XML to tabular |
Convert BLAST XML output to tabular |
Conversion
|
18 |
blockbuster |
detects blocks of overlapping reads using a gaussian-distribution approach |
|
3 |
BlockClust |
efficient clustering and classification of non-coding RNAs from short read RNA-seq profiles |
|
2 |
Bowtie2 |
- map reads against reference genome |
|
21 |
Boxplot |
of quality statistics |
|
2 |
Braker genome annotation |
|
|
1 |
btwisted |
Calculates the twisting in a B-DNA sequence |
|
5 |
Build custom track |
for UCSC genome browser |
|
3 |
Build Deep learning Batch Training Models |
with online data generator for Genomic/Protein sequences and images |
|
5 |
Build expression matrix |
for a de novo assembly of RNA-Seq data by Trinity |
|
12 |
Build tissue-specific expression dataset |
[Human Protein Atlas](no input required) |
|
2 |
Busco |
assess genome assembly and annotation completeness |
|
15 |
bwameth |
Fast and accurate aligner of BS-Seq reads. |
|
6 |
cai |
CAI codon adaptation index |
|
5 |
cai custom |
CAI codon adaptation index using custom codon usage file |
|
5 |
Calculate a Heinz score |
for each node |
|
2 |
Calculate metrics |
for classification performance |
|
12 |
Calculate metrics |
for regression performance |
|
11 |
Call and phase |
heterozygous SNPs |
|
4 |
Call specific mutations in reads: |
Looks for reads with mutation at known positions and calculates frequencies and stats. |
|
3 |
Call variants |
with LoFreq |
|
7 |
CAMERA.annotate |
CAMERA annotate function. Returns annotation results (isotope peaks, adducts and fragments) and a diffreport if more than one condition. |
|
9 |
Canonical Correlation Analysis |
|
|
1 |
cast |
expand combinations of variables:values to columnar format |
|
1 |
CAT add_names |
annotate with taxonomic names |
|
1 |
CAT bins |
annotate with taxonomic classification |
|
2 |
CAT contigs |
annotate with taxonomic classification |
|
2 |
CAT prepare |
a database for CAT - Contig Annotation Tool |
|
1 |
CAT summarise |
the number of contigs or bins assigned to each taxonomic name |
|
1 |
Categorize Elements |
satisfying criteria |
|
1 |
CCAT |
Control-based ChIP-seq Analysis Tool |
|
2 |
CD-HIT PROTEIN |
Cluster a protein dataset into representative sequences |
|
3 |
CD-HIT-EST |
Cluster a nucleotide dataset into representative sequences |
|
3 |
CellProfiler |
run a CellProfiler pipeline |
|
2 |
Change Case |
of selected columns |
|
2 |
chaos |
Create a chaos game representation plot for a sequence |
|
5 |
charge |
Protein charge plot |
|
5 |
checktrans |
Reports STOP codons and ORF statistics of a protein |
|
5 |
chicAggregateStatistic |
computes with a target file the to be tested regions for chicDifferentialTest |
|
7 |
chicDifferentialTest |
computes differential interactions of viewpoints |
|
7 |
chicPlotViewpoint |
creates plots for viewpoints |
|
7 |
chicQualityControl |
generates an estimate of the quality of each viewpoint |
|
7 |
chicSignificantInteractions |
computes viewpoints with the given reference points and a background model |
|
7 |
chicViewpoint |
computes viewpoints with the given reference points and a background model. |
|
7 |
chicViewpointBackgroundModel |
compute a background model for cHi-C / HiChIP data |
|
6 |
Chimera.bellerophon |
Find putative chimeras using bellerophon |
|
5 |
Chimera.ccode |
Find putative chimeras using ccode |
|
6 |
Chimera.check |
Find putative chimeras using chimeraCheck |
|
5 |
Chimera.perseus |
Find putative chimeras using chimeraCheck |
|
6 |
Chimera.pintail |
Find putative chimeras using pintail |
|
5 |
Chimera.slayer |
Find putative chimeras using slayer |
|
5 |
Chimera.uchime |
Find putative chimeras using uchime |
|
5 |
Chimera.vsearch |
find potential chimeric sequences using vsearch |
|
4 |
chips |
Codon usage statistics |
|
5 |
ChiRA collapse |
deduplicate fastq reads |
|
17 |
ChiRA extract |
extrat the chimeras |
|
17 |
ChiRA map |
map reads to trascriptome |
|
17 |
ChiRA merge |
merge aligned positions |
|
17 |
ChiRA qauntify |
quantify aligned loci to score the alignments |
|
17 |
Chop.seqs |
Trim sequences to a specified length |
|
6 |
Chromeister |
ultra-fast pairwise genome comparisons |
|
5 |
Circos |
visualizes data in a circular layout |
Visualisation
|
11 |
Circos: Alignments to links |
reformats alignment files to prepare for Circos |
Parsing
|
10 |
Circos: bigWig to Scatter |
reformats bigWig files to prepare for Circos 2d scatter/line/histogram plots |
Conversion
|
10 |
Circos: Bundle Links |
reduce numbers of links in datasets before plotting |
Aggregation
|
10 |
Circos: Interval to Circos Text Labels |
reformats interval files to prepare for Circos text labels |
Conversion
|
10 |
Circos: Interval to Tiles |
reformats interval files to prepare for Circos tile plots |
Conversion
|
10 |
Circos: Link Density Track |
reduce links to a density plot |
Aggregation
|
10 |
Circos: Resample 1/2D data |
reduce numbers of points in a dataset before plotting |
Aggregation
|
10 |
Circos: Stack bigWigs as Histogram |
reformats for use in Circos stacked histogram plots |
Formatting
|
6 |
Circos: Table viewer |
easily creates circos plots from tabular data |
Visualisation
|
10 |
cirdna |
Draws circular maps of DNA constructs |
|
5 |
Classify.otu |
Assign sequences to taxonomy |
|
5 |
Classify.rf |
description |
|
2 |
Classify.seqs |
Assign sequences to taxonomy |
|
5 |
Classify.tree |
Get a consensus taxonomy for each node on a tree |
|
5 |
CleanSam |
perform SAM/BAM grooming |
|
14 |
Clearcut |
Generate a tree using relaxed neighbor joining |
|
5 |
Clip |
adapter sequences |
|
6 |
ClipKIT. Alignment trimming software for phylogenetics. |
|
|
1 |
Clipping Profile |
estimates clipping profile of RNA-seq reads from BAM or SAM file |
|
10 |
ClustalW |
multiple sequence alignment program for DNA or proteins |
|
5 |
Cluster |
the intervals of a dataset |
Sequence clustering
Sequence merging
|
5 |
Cluster |
Assign sequences to OTUs (Operational Taxonomic Unit) |
|
4 |
Cluster Analysis |
|
|
1 |
Cluster Inspection using RaceID |
examines gene expression within clusters |
|
6 |
Cluster, infer trajectories and embed |
with scanpy |
|
7 |
Cluster.classic |
Assign sequences to OTUs (Dotur implementation) |
|
5 |
Cluster.fragments |
Group sequences that are part of a larger sequence |
|
5 |
Cluster.split |
Assign sequences to OTUs and split large matrices |
|
5 |
Clustering using RaceID |
performs clustering, outlier detection, dimensional reduction |
|
6 |
CML to InChI |
|
|
2 |
CML to mol2 |
|
|
2 |
CML to SDF |
|
|
2 |
cml-to-smi |
converter |
|
2 |
codcmp |
Codon usage table comparison |
|
5 |
codeML |
Detects positive selection (paml package) |
|
3 |
coderet |
Extract CDS, mRNA and translations from feature tables |
|
5 |
Codon_density |
To compare Ribo-seq alignments between two sets of conditions, to determine codon occupancy |
|
1 |
Collapse |
sequences |
|
3 |
Collapse Collection |
into single dataset in order of the collection |
|
5 |
Collect Alignment Summary Metrics |
writes a file containing summary alignment metrics |
|
14 |
Collect.shared |
Generate collector's curves for calculators on OTUs |
|
5 |
Collect.single |
Generate collector's curves for OTUs |
|
6 |
CollectBaseDistributionByCycle |
charts the nucleotide distribution per cycle in a SAM or BAM dataset |
|
14 |
CollectGcBiasMetrics |
charts the GC bias metrics |
|
14 |
CollectHsMetrics |
compute metrics about datasets generated through hybrid-selection (e.g. exome) |
|
4 |
CollectInsertSizeMetrics |
plots distribution of insert sizes |
|
14 |
CollectRnaSeqMetrics |
collect metrics about the alignment of RNA to various functional classes of loci in the genome |
|
15 |
CollectWgsMetrics |
compute metrics for evaluating of whole genome sequencing experiments |
|
14 |
Column arrange |
by header name |
|
2 |
Column Join |
on Collections |
|
5 |
Column Regex Find And Replace |
|
|
6 |
Combine FASTA and QUAL |
into FASTQ |
Aggregation
|
5 |
Combine MetaPhlAn2 and HUMAnN2 outputs |
to relate genus/species abundances and gene families/pathways abundances |
|
3 |
Compare |
multiple VCF datasets |
|
1 |
Compare two Datasets |
to find common or distinct rows |
Filtering
|
1 |
Complement |
intervals of a dataset |
Sequence coordinate conversion
|
6 |
Compound conversion |
- interconvert between various chemistry and molecular modeling data files |
|
6 |
compseq |
Count composition of dimer/trimer/etc words in a sequence |
|
5 |
Compute |
on rows |
|
10 |
Compute both the depth and breadth of coverage |
of features in file B on the features in file A (bedtools coverage) |
|
21 |
Compute contig Ex90N50 statistic and Ex90 transcript count |
from a Trinity assembly |
|
10 |
Compute Motif Frequencies |
in indel flanking regions |
|
2 |
Compute Motif Frequencies For All Motifs |
motif by motif |
|
2 |
Compute quality statistics |
for SOLiD data |
|
1 |
Compute quality statistics |
|
|
3 |
Compute sequence length |
|
|
6 |
computeGCBias |
Determine the GC bias of your sequenced reads |
|
17 |
computeMatrix |
prepares data for plotting a heatmap or a profile of given regions |
|
18 |
computeMatrixOperations |
Modify or combine the output of computeMatrix in a variety of ways. |
|
11 |
Concatenate |
two BED files |
Aggregation
|
6 |
Concatenate |
FASTA alignment by species |
|
3 |
Concatenate datasets |
tail-to-head |
Aggregation
|
1 |
Concatenate datasets |
tail-to-head (cat) |
|
11 |
Concatenate multiple datasets |
tail-to-head |
|
1 |
Consensus.seqs |
Find a consensus sequence for each OTU or phylotype |
|
6 |
ConsensusID |
Computes a consensus of peptide identifications of several identification engines. |
|
6 |
Control-FREEC |
detects copy-number changes and allelic imbalances |
|
3 |
Convert |
delimiters to TAB |
|
1 |
Convert |
SOLiD output to fastq |
|
1 |
Convert |
between BIOM table formats |
|
9 |
Convert BAM to ScIdx |
|
|
2 |
Convert BCF to uncompressed BCF |
|
|
1 |
Convert BED to Feature Location Index |
|
|
1 |
Convert BED to GFF |
|
|
2 |
Convert Biom1 to Biom2 |
|
|
1 |
Convert Biom2 to Biom1 |
|
|
1 |
Convert FASTA to 2bit |
|
|
2 |
Convert FASTA to Bowtie base space Index |
|
|
2 |
Convert FASTA to Bowtie color space Index |
|
|
2 |
Convert FASTA to len file |
|
|
2 |
Convert FASTA to Tabular |
|
|
1 |
Convert from BAM to FastQ |
|
|
13 |
Convert genome coordinates |
between assemblies and genomes |
|
2 |
Convert Genomic Intervals To BED |
|
|
1 |
Convert Genomic Intervals To Coverage |
|
|
2 |
Convert Genomic Intervals To Strict BED |
|
|
2 |
Convert Genomic Intervals To Strict BED12 |
|
|
1 |
Convert Genomic Intervals To Strict BED6 |
|
|
2 |
Convert GFF to BED |
|
|
2 |
Convert GFF to Feature Location Index |
|
|
1 |
Convert GFF3 |
to prot_table for TRANSIT |
|
4 |
Convert gffCompare annotated GTF to BED |
for StringTie results |
|
4 |
Convert GTF to BED12 |
|
|
1 |
Convert image |
Convert image |
|
2 |
Convert Kraken |
data to Galaxy taxonomy representation |
|
3 |
Convert Len file to Linecount |
|
|
2 |
Convert lped to fped |
|
|
2 |
Convert lped to plink pbed |
|
|
2 |
Convert MAF to Fasta |
|
|
2 |
Convert MAF to Genomic Intervals |
|
|
2 |
Convert Picard Interval List to BED6 |
converter |
|
2 |
Convert plink pbed to ld reduced format |
|
|
2 |
Convert plink pbed to linkage lped |
|
|
2 |
Convert SAM |
to interval |
|
2 |
Convert, Merge, Randomize |
BAM datasets and perform other transformations |
|
7 |
ConvertObjectsToImage |
convert the identified objects into an image |
|
2 |
CoNvex |
Gap-cost alignMents for Long Reads |
|
2 |
Cooccurrence |
tests whether presence-absence patterns differ from chance |
|
6 |
Corr.axes |
correlation of data to axes |
|
5 |
correctGCBias |
uses the output from computeGCBias to generate GC-corrected BAM/CRAM files |
|
16 |
Correlation |
for numeric columns |
|
1 |
Cosine Content |
- measure the cosine content of the PCA projection |
|
4 |
Count |
occurrences of each record |
|
2 |
Count GFF Features |
|
|
2 |
Count Objects |
in labled images |
|
1 |
Count.groups |
counts the number of sequences represented by a specific group or set of groups |
|
5 |
Count.seqs |
(aka make.table) counts the number of sequences represented by the representative |
|
5 |
Coverage |
of a set of intervals on second set of intervals |
Comparison
Filtering
|
5 |
cpgplot |
Plot CpG rich areas |
|
5 |
cpgreport |
Reports all CpG rich regions |
|
5 |
Create a BedGraph of genome coverage |
|
|
3 |
Create a deep learning model architecture |
using Keras |
|
6 |
Create a genus level gene families file |
|
|
4 |
Create a histogram of genome coverage |
|
|
3 |
Create a model to recommend tools |
using deep learning |
|
5 |
Create assemblies with Unicycler |
pipeline for bacterial genomes |
Genome assembly
|
10 |
Create deep learning model |
with an optimizer, loss function and fit parameters |
|
6 |
Create Frankenstein ligand |
for docking active site definition |
|
3 |
Create InterMine Interchange |
Dataset |
|
1 |
Create single interval |
as a new dataset |
|
1 |
Create text file |
with recurring lines |
|
9 |
Create.database |
creates a database file from a list, repnames, repfasta and contaxonomy file |
|
5 |
CRISPR Studio |
facilitate and accelerate CRISPR array visualization from a GFF3 file generated with CRISPRDetect |
|
1 |
CRISPResso2 |
|
|
2 |
Cross-contamination Barcode Filter |
for use in plate-based barcoded analyses |
|
3 |
CrossMap BAM |
Convert genome coordinates or annotation files between genome assemblies |
|
5 |
CrossMap BED |
Convert genome coordinates or annotation files between genome assemblies |
|
5 |
CrossMap GFF |
Convert genome coordinates or annotation files between genome assemblies |
|
5 |
CrossMap VCF |
Convert genome coordinates or annotation files between genome assemblies |
|
4 |
CrossMap Wig |
Convert genome coordinates or annotation files between genome assemblies |
|
4 |
CSV to Tabular |
|
|
1 |
csv-to-tabular |
converter |
|
1 |
CTD |
analysis of chemicals, diseases, or genes |
|
1 |
Cuffcompare |
compare assembled transcripts to a reference annotation and track Cufflinks transcripts across multiple experiments |
|
8 |
Cuffdiff |
find significant changes in transcript expression, splicing, and promoter use |
|
11 |
Cufflinks |
transcript assembly and FPKM (RPKM) estimates for RNA-Seq data |
|
8 |
Cuffmerge |
merge together several Cufflinks assemblies |
|
8 |
Cuffnorm |
Create normalized expression levels |
|
7 |
Cuffquant |
Precompute gene expression levels |
|
4 |
cummeRbund |
visualize Cuffdiff output |
|
3 |
cusp |
Create a codon usage table |
|
5 |
CustomProDB |
Generate protein FASTAs from exosome or transcriptome data |
|
2 |
Cut |
columns from a table |
Filtering
|
2 |
Cut |
columns from a table (cut) |
|
9 |
Cutadapt |
Remove adapter sequences from FASTQ/FASTA |
Sequence editing
|
22 |
cuteSV |
detects long-read-based SVs |
|
1 |
cutseq |
Removes a specified section from a sequence |
|
5 |
dada2: assignTaxonomy and addSpecies |
Learn Error rates |
|
6 |
dada2: dada |
Remove sequencing errors |
|
6 |
dada2: filterAndTrim |
Filter and trim short read data |
|
6 |
dada2: learnErrors |
Learn Error rates |
|
6 |
dada2: makeSequenceTable |
construct a sequence table (analogous to OTU table) |
|
6 |
dada2: mergePairs |
Merge denoised forward and reverse reads |
|
6 |
dada2: plotComplexity |
Plot sequence complexity profile |
|
6 |
dada2: plotQualityProfile |
plot a visual summary of the quality scores |
|
6 |
dada2: removeBimeraDenovo |
Remove bimeras from collections of unique sequences |
|
6 |
dada2: sequence counts |
|
|
6 |
dan |
Calculates DNA RNA/DNA melting temperature |
|
5 |
Data Fetch |
|
Query and retrieval
|
1 |
Datamash |
(operations on tabular data) |
|
5 |
DAVID |
functional annotation for a list of genes |
|
1 |
dbnsfp.tabular-to-snpsiftdbnsfp |
converter |
|
3 |
DCS mutations to SSCS stats: |
Extracts all tags from the single stranded consensus sequence (SSCS) bam file that carry a mutation at the same position a mutation is called in the duplex consensus sequence (DCS) and calculates their frequencies |
|
3 |
DCS mutations to tags/reads: |
Extracts all tags that carry a mutation in the duplex consensus sequence (DCS) |
|
3 |
Deep learning training and evaluation |
conduct deep training and evaluation either implicitly or explicitly |
|
4 |
Degap.seqs |
Remove gap characters from sequences |
|
5 |
degapseq |
Removes gap characters from sequences |
|
5 |
Delete Overlapping Indels |
from a chromosome indels file |
|
1 |
Deletion Profile |
calculates the distributions of deleted nucleotides across reads |
|
6 |
Delly call |
and genotype structural variants |
|
5 |
Delly classify |
somatic or germline copy-number variants |
|
3 |
Delly cnv |
discover and genotype copy-number variants |
|
3 |
Delly filter |
somatic or germline structural variants |
|
5 |
Delly long-read (lr) |
optimized calling and genotyping of structural variants |
|
6 |
Delly merge |
structural variants across/within BCF/VCF file(s) |
|
5 |
Delta-Filter |
Filters alignment (delta) file from nucmer |
Read mapping
Sequence alignment
|
5 |
Describe samples |
and replicates |
|
11 |
descseq |
Alter the name or description of a sequence |
|
5 |
DESeq2 |
Determines differentially expressed features from count tables |
Differential gene expression profiling
RNA-Seq quantification
|
22 |
Determine_batch_correction |
to choose between linear, lowess and loess methods |
|
4 |
Deunique.seqs |
Return all sequences |
|
5 |
Deunique.tree |
Reinsert the redundant sequence identiers back into a unique tree. |
|
5 |
DEXSeq |
Determines differential exon usage from count tables |
|
10 |
DEXSeq-Count |
Prepare and count exon abundancies from RNA-seq data |
|
10 |
diapysef library generation |
generates spectral library for DIA analysis |
|
1 |
diff |
analyzes two files and generates an unidiff text file with information about the differences and an optional Html report |
|
3 |
Differential expression analysis |
using a Trinity assembly |
|
11 |
Differential Translation Analysis |
(Step 4) Get Ribo and RNA-Seq counts with riboSeqR. Perform differential translation analysis with baySeq. |
|
1 |
diffseq |
Find differences between nearly identical sequences |
|
5 |
digest |
Protein proteolytic enzyme or reagent cleavage digest |
|
5 |
DISCO |
to assemble metagenomics data using an overlap-layout-consensus (OLC) approach |
|
2 |
Discriminant Analysis |
|
|
12 |
DisplayDataOnImage |
produce an image with data on top of identified objects |
|
2 |
Dist.seqs |
calculate uncorrected pairwise distances between aligned sequences |
|
5 |
Dist.shared |
Generate a phylip-formatted dissimilarity distance matrix among multiple groups |
|
5 |
DNAdiff |
Evaluate similarities/differences between two sequences |
Read mapping
Sequence alignment
|
5 |
dotmatcher |
Displays a thresholded dotplot of two sequences |
|
5 |
dotpath |
Non-overlapping wordmatch dotplot of two sequences |
|
5 |
dottup |
Displays a wordmatch dotplot of two sequences |
|
5 |
Download and Extract Reads in BAM |
format from NCBI SRA |
Data retrieval
Formatting
|
24 |
Download and Extract Reads in FASTQ |
format from NCBI SRA |
Data retrieval
Formatting
|
20 |
Download and Generate Pileup Format |
from NCBI SRA |
|
9 |
Download run data |
from EBI Metagenomics database |
|
1 |
Downsample SAM/BAM |
Downsample a file to retain a subset of the reads |
|
14 |
Draw nucleotides distribution chart |
|
|
4 |
Draw phylogeny |
|
|
1 |
Draw quality score boxplot |
for SOLiD data |
|
1 |
Draw quality score boxplot |
|
|
4 |
Draw ROC plot |
on "Perform LDA" output |
|
2 |
Draw Stacked Bar Plots |
for different categories and different criteria |
|
1 |
dreg |
Regular expression search of a nucleotide sequence |
|
6 |
dRep compare |
compare a list of genomes |
|
3 |
dRep dereplicate |
De-replicate a list of genomes |
|
3 |
DropletUtils |
Utilities for handling droplet-based single-cell RNA-seq data |
DNA barcoding
Parsing
|
9 |
Du Novo: Align families |
of duplex sequencing reads |
|
10 |
Du Novo: Check input |
for family content |
|
3 |
Du Novo: Correct barcodes |
of duplex sequencing reads |
|
11 |
Du Novo: Make consensus reads |
from duplex sequencing alignments |
|
10 |
Du Novo: Make families |
of duplex sequencing reads |
|
10 |
EBI Search |
to obtain search results on resources and services hosted at the EBI |
|
2 |
edgeR |
Perform differential expression of count data |
Differential gene expression profiling
RNA-seq read count analysis
|
10 |
EGA Download Client |
|
|
5 |
eggNOG Mapper |
functional sequence annotation by orthology |
|
10 |
EGSEA |
easy and efficient ensemble gene set testing |
|
4 |
einverted |
Finds DNA inverted repeats |
|
5 |
ENA Upload tool |
|
|
9 |
EnhanceOrSuppressFeatures |
to improve subsequent identification of objects |
|
2 |
Ensemble methods |
for classification and regression |
|
12 |
Enumerate changes |
calculated with Dimorphite DL and RDKit |
|
2 |
epestfind |
Finds PEST motifs as potential proteolytic cleavage sites |
|
5 |
equicktandem |
Finds tandem repeats |
|
5 |
est2genome |
Align EST and genomic DNA sequences |
|
5 |
Estimate Library Complexity |
|
|
3 |
EstimateLibraryComplexity |
assess sequence library complexity from read sequences |
|
14 |
estimateReadFiltering |
estimates the number of reads that would be filtered given certain criteria |
|
6 |
Estimator attributes |
get important attributes from an estimator or scikit object |
|
9 |
etandem |
Looks for tandem repeats in a nucleotide sequence |
|
5 |
Evaluate a Fitted Model |
using a new batch of labeled data |
|
6 |
Evaluate pairwise distances |
or compute affinity or kernel for sets of samples |
|
12 |
EvolMAP |
Runs EvolMAP. |
|
1 |
EvolMAP Long |
Runs EvolMAP for longer (bigger) jobs. |
|
1 |
EvolMAP Output Species Exclude |
Modifies EvolMAP Output to exclude specific species. |
|
1 |
EvolMAP Output to FASTA |
Converts EvolMAP Output file to FASTA file |
|
1 |
EvolMAP Output Tool |
Modifies EvolMAP output |
|
1 |
Exonerate |
pairwise sequence comparison |
|
4 |
Expected temporal trend |
of species abundance |
|
1 |
Expected temporal trend |
of species abundance |
|
1 |
Export AnnData and loom files |
Interconvert AnnData and Loom formats |
|
10 |
Export to GraPhlAn |
|
|
2 |
ExportToSpreadsheet |
export measurements into one or more files |
|
2 |
eXpress |
Quantify the abundances of a set of target sequences from sampled subsequences |
|
2 |
Expression2RAS |
- Reaction Activity Scores computation |
|
1 |
Extract alignment ends |
from SAM or BAM |
|
3 |
Extract and cluster differentially expressed transcripts |
from a Trinity assembly |
|
12 |
Extract CuffDiff |
tabular files from a cummeRbund database |
|
2 |
Extract element identifiers |
of a list collection |
|
2 |
Extract features |
from GFF data |
|
1 |
Extract Genomic DNA |
using coordinates from assembled/unassembled genomes |
|
7 |
Extract MAF blocks |
given a set of genomic intervals |
|
4 |
Extract MAF by block number |
given a set of block numbers and a MAF file |
|
1 |
Extract ORF |
from a GenBank file |
|
1 |
Extract Pairwise MAF blocks |
given a set of genomic intervals |
|
1 |
extractfeat |
Extract features from a sequence |
|
5 |
extractseq |
Extract regions from a sequence |
|
5 |
FalseDiscoveryRate |
Estimates the false discovery rate on peptide and protein level using decoy searches. |
|
7 |
fargene |
Fragmented antibiotic resistance gene identifier |
|
2 |
FASConcat |
Appends all input sequence files into one file |
|
1 |
faSplit |
Split a FASTA file |
|
3 |
FASTA Merge Files and Filter Unique Sequences |
Concatenate FASTA database files together |
|
4 |
Fasta nucleotide color plot |
|
|
2 |
Fasta nucleotide color plot |
|
|
1 |
Fasta Statistics |
Display summary statistics for a fasta file. |
|
5 |
FASTA Width |
formatter |
|
3 |
fasta-to-fai |
converter |
|
1 |
FASTA-to-Tabular |
converter |
|
3 |
fasta2phylipE |
Convert Aligned FASTA to phylip Extended |
|
1 |
FastANI |
fast alignment-free computation of whole-genome Average Nucleotide Identity |
|
1 |
Faster Download and Extract Reads in FASTQ |
format from NCBI SRA |
Data retrieval
Formatting
|
15 |
fastp |
- fast all-in-one preprocessing for FASTQ files |
|
8 |
FASTQ de-interlacer |
on paired end reads |
Splitting
|
5 |
FASTQ Groomer |
convert between various FASTQ quality formats |
Sequence conversion
|
5 |
FASTQ interlacer |
on paired end reads |
Aggregation
|
6 |
FASTQ joiner |
on paired end reads |
Aggregation
|
7 |
FASTQ Masker |
by quality score |
Sequence masking
|
5 |
FASTQ Quality Trimmer |
by sliding window |
|
5 |
FASTQ splitter |
on joined paired end reads |
Splitting
|
6 |
FASTQ Summary Statistics |
by column |
Sequence assembly validation
|
4 |
FASTQ to FASTA |
converter |
Conversion
|
5 |
FASTQ to FASTA |
converter from FASTX-toolkit |
Sequence conversion
|
6 |
FASTQ to Tabular |
converter |
Sequence conversion
|
5 |
FASTQ Trimmer |
by column |
Sequence trimming
|
5 |
Fastq.info |
Convert fastq to fasta and quality |
|
6 |
FastQC |
Read Quality reports |
Sequence composition calculation
Sequencing quality control
Statistical calculation
|
18 |
FASTQE |
visualize fastq files with emoji's 🧬😎 |
|
5 |
FastqToSam |
convert Fastq data into unaligned BAM |
|
19 |
FASTTREE |
build maximum-likelihood phylogenetic trees |
Phylogenetic analysis
Phylogenetic inference (from molecular sequences)
|
4 |
Feature coverage |
|
|
1 |
Feature Selection |
module, including univariate filter selection methods and recursive feature elimination algorithm |
|
12 |
featureCounts |
Measure gene expression in RNA-Seq experiments from SAM or BAM files. |
Sequence assembly
|
25 |
FeatureFinderMultiplex |
Determination of peak ratios in LC-MS data |
|
7 |
FEELnc |
FlExible Extraction of LncRNA |
|
6 |
Fetch closest non-overlapping feature |
for every interval |
Filtering
|
4 |
Fetch Indels |
from 3-way alignments |
|
1 |
Fetch taxonomic representation |
|
|
2 |
fgsea |
- fast preranked gene set enrichment analysis |
|
3 |
FidoAdapter |
Runs the protein inference engine Fido. |
|
6 |
FileConverter |
Converts between different MS file formats. |
|
5 |
FileFilter |
Extracts or manipulates portions of data from peak, feature or consensus-feature files. |
|
5 |
FileInfo |
Shows basic information about the file, such as data ranges and file type. |
|
5 |
FileMerger |
Merges several MS files into one file. |
|
5 |
Filter |
data on any column using simple expressions |
Formatting
|
2 |
Filter |
a VCF file |
|
1 |
Filter |
with scanpy |
|
7 |
Filter BAM |
datasets on a variety of attributes |
|
6 |
Filter by keywords and/or numerical value |
|
|
4 |
Filter by quality |
|
Filtering
|
6 |
Filter Combined Transcripts |
using tracking file |
|
1 |
Filter FASTQ |
reads by quality score and length |
Filtering
|
4 |
Filter GFF data by attribute |
using simple expressions |
|
2 |
Filter GFF data by feature count |
using simple expressions |
|
1 |
Filter GTF data by attribute values_list |
|
|
2 |
Filter Image |
applies a standard filter to an image |
|
2 |
Filter low expression transcripts |
from a Trinity assembly |
|
11 |
Filter MAF |
by specified attributes |
|
1 |
Filter MAF blocks |
by Species |
|
1 |
Filter MAF blocks |
by Size |
|
1 |
Filter pileup |
on coverage and SNPs |
|
3 |
Filter SAM |
on bitwise flag values |
|
1 |
Filter SAM or BAM, output SAM or BAM |
files on FLAG MAPQ RG LN or by region |
|
6 |
Filter segmentation |
Filter segmentation by rules |
|
1 |
Filter sequences by length |
|
Filtering
|
6 |
Filter Tabular |
|
|
5 |
Filter with SortMeRNA |
of ribosomal RNAs in metatranscriptomic data |
|
6 |
Filter.seqs |
removes columns from alignments |
|
5 |
Filter.shared |
remove OTUs based on various critieria |
|
6 |
FilterSamReads |
include or exclude aligned and unaligned reads and read lists |
|
14 |
filtlong |
Filtering long reads by quality |
|
3 |
FIMO |
- Scan a set of sequences for motifs |
|
12 |
Find and replace |
text from a dataset |
|
1 |
Find diagnostic hits |
|
|
1 |
Find lowest diagnostic rank |
|
|
1 |
Finds SNP sites |
from a multi-FASTA alignment file |
|
1 |
Fit a BUM model |
with p-values |
|
2 |
Fit a Pipeline, Ensemble |
or other models using a labeled dataset |
|
6 |
FixMateInformation |
ensure that all mate-pair information is in sync between each read and it's mate pair |
|
14 |
FLAIR collapse |
defines high-confidence isoforms from flair-corrected reads |
|
3 |
FLAIR correct |
corrects misaligned splice sites using genome annotations |
|
2 |
FLASH |
adjust length of short reads |
|
7 |
FlashLFQ |
ultrafast label-free quantification for mass-spectrometry proteomics |
|
5 |
Flight curve |
compute the regional expected pattern of abundance |
|
1 |
Flight curve |
compute the regional expected pattern of abundance |
|
1 |
Flye |
de novo assembler for single molecule sequencing reads |
Genome assembly
|
8 |
Format MetaPhlAn2 |
output for Krona |
|
2 |
Format MetaPhlAn2 |
output to extract abundance at different taxonomic levels |
|
2 |
FPKM Count |
calculates raw read count, FPM, and FPKM for each gene |
|
8 |
FragGeneScan |
for finding (fragmented) genes in short reads |
|
2 |
Frame |
To analyse Ribo-seq alignments for the extraction of translational ambiguities |
|
1 |
freak |
Residue/base frequency table or plot |
|
5 |
FreeBayes |
bayesian genetic variant detector |
|
12 |
Funannotate assembly clean |
|
|
5 |
Funannotate compare |
annotations |
|
5 |
Funannotate functional |
annotation |
|
5 |
Funannotate predict annotation |
|
|
6 |
FunDO |
human genes associated with disease terms |
|
2 |
fuzznuc |
Nucleic acid pattern search |
|
6 |
fuzzpro |
Protein pattern search |
|
5 |
fuzztran |
Protein pattern search after translation |
|
5 |
g:Profiler |
tools for functional profiling of gene lists |
|
1 |
garnier |
Predicts protein secondary structure |
|
5 |
GATK4 Mutect2 |
- Call somatic SNVs and indels via local assembly of haplotypes |
|
8 |
Gblocks |
Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis |
Sequence masking
|
3 |
GC Skew |
calculates skew over genomic sequences |
Nucleic acid property calculation
|
10 |
Gecko |
Ungapped genome comparison |
|
3 |
geecee |
Calculates fractional GC content of nucleic acid sequences |
|
5 |
GEMINI actionable_mutations |
Retrieve genes with actionable somatic mutations via COSMIC and DGIdb |
|
4 |
GEMINI amend |
Amend an already loaded GEMINI database. |
|
5 |
GEMINI annotate |
the variants in an existing GEMINI database with additional information |
|
7 |
GEMINI burden |
perform sample-wise gene-level burden calculations |
|
4 |
GEMINI database info |
Retrieve information about tables, columns and annotation data stored in a GEMINI database |
|
4 |
GEMINI fusions |
Identify somatic fusion genes from a GEMINI database |
|
5 |
GEMINI gene_wise |
Custom genotype filtering by gene |
|
5 |
GEMINI inheritance pattern |
based identification of candidate genes |
|
2 |
GEMINI interactions |
Find genes among variants that are interacting partners |
|
4 |
GEMINI load |
Loading a VCF file into GEMINI |
|
7 |
GEMINI lof_sieve |
Filter LoF variants by transcript position and type |
|
4 |
GEMINI pathways |
Map genes and variants to KEGG pathways |
|
5 |
GEMINI qc |
Quality control tool |
|
5 |
GEMINI query |
Querying the GEMINI database |
|
5 |
GEMINI roh |
Identifying runs of homozygosity |
|
5 |
GEMINI set_somatic |
Tag somatic mutations in a GEMINI database |
|
5 |
GEMINI stats |
Compute useful variant statistics |
|
4 |
GEMINI windower |
Conducting analyses on genome "windows" |
|
4 |
Gene BED To Exon/Intron/Codon BED |
expander |
|
1 |
Gene Body Coverage (BAM) |
Read coverage over gene body. |
|
13 |
Gene Body Coverage (Bigwig) |
Read coverage over gene body |
|
12 |
Gene length and GC content |
from GTF and FASTA file |
|
4 |
Generalized linear models |
for classification and regression |
|
11 |
Generate |
random samples with controlled size and complexity |
|
12 |
Generate A Matrix |
for using PC and LDA |
|
1 |
Generate MD topologies for small molecules |
using acpype |
|
9 |
Generate pileup |
from BAM dataset |
|
3 |
Generate SuperTranscripts |
from a Trinity assembly |
|
6 |
Generation, personalization and annotation of tree |
for GraPhlAn |
|
2 |
Generic_Filter |
Removes elements according to numerical or qualitative values |
|
3 |
Genome annotation statistics |
|
|
1 |
Genrich |
Detecting sites of genomic enrichment |
|
3 |
Get flanks |
returns flanking region/s for every gene |
Sequence analysis
|
4 |
Get Microbial Data |
|
Query and retrieval
|
1 |
Get MS/MS observations in tissue/fluid |
[Peptide Atlas] |
|
3 |
Get open reading frames (ORFs) or coding sequences (CDSs) |
e.g. to get peptides from ESTs |
|
5 |
Get PDB file |
from Protein Data Bank |
|
2 |
Get species occurrences data |
from GBIF, ALA, iNAT and others |
|
1 |
Get.communitytype |
description |
|
5 |
Get.coremicrobiome |
fraction of OTUs for samples or abundances |
|
6 |
Get.dists |
selects distances from a phylip or column file |
|
5 |
Get.group |
group names from shared or from list and group |
|
6 |
Get.groups |
Select groups |
|
5 |
Get.label |
label names from list, sabund, or rabund file |
|
5 |
Get.lineage |
Picks by taxon |
|
6 |
Get.mimarkspackage |
creates a mimarks package form with your groups |
|
5 |
Get.otulabels |
Selects OTU labels |
|
6 |
Get.otulist |
Get otus for each distance in a otu list |
|
5 |
Get.oturep |
Generate a fasta with a representative sequence for each OTU |
|
5 |
Get.otus |
Get otus containing sequences from specified groups |
|
5 |
Get.rabund |
Get rabund from a otu list or sabund |
|
6 |
Get.relabund |
Calculate the relative abundance of each otu |
|
5 |
Get.sabund |
Get sabund from a otu list or rabund |
|
5 |
Get.seqs |
Picks sequences by name |
|
5 |
Get.sharedseqs |
Get shared sequences at each distance from list and group |
|
5 |
GetFastaBed |
use intervals to extract sequences from a FASTA file |
|
20 |
getorf |
Finds and extracts open reading frames (ORFs) |
|
5 |
GFA to FASTA |
Convert Graphical Fragment Assembly files to FASTA format |
|
4 |
GFF-to-BED |
converter |
Conversion
|
1 |
GffCompare |
compare assembled transcripts to a reference annotation |
|
5 |
gffread |
Filters and/or converts GFF3/GTF2 records |
|
7 |
Glimmer ICM builder |
|
|
1 |
Glimmer3 |
Predict ORFs in prokaryotic genomes (knowlegde-based) |
|
1 |
Glimmer3 |
Predict ORFs in prokaryotic genomes (not knowlegde-based) |
|
1 |
GMAJ |
Multiple Alignment Viewer |
|
1 |
GO terms classification and enrichment analysis |
(Human, Mouse, Rat)[clusterProfiler] |
|
3 |
GOEnrichment |
performs GO enrichment analysis of a set of gene products |
|
2 |
goseq |
tests for overrepresented gene categories |
Gene-set enrichment analysis
|
12 |
GOSlimmer |
converts a set of annotation from GO to a given GOSlim version |
|
2 |
GPASS |
significant single-SNP associations in case-control studies |
|
1 |
gProfiler Convert |
converts between various types of namespaces |
|
2 |
gProfiler GOSt |
performs functional enrichment analysis of gene lists |
Gene-set enrichment analysis
|
2 |
gProfiler Orth |
translates gene identifiers between organisms |
|
2 |
gProfiler Random |
generates a gene list |
|
2 |
gProfiler SNPense |
maps SNP rs-codes to gene names, chromosomal coordinates and variant effects |
|
2 |
GraphEmbed |
Compute and plot a 2D embedding of a data matrix given supervised class information |
|
1 |
GraPhlAn |
to produce graphical output of an input tree |
|
2 |
GrayToColor |
take grayscale images and produces a color image from them |
|
2 |
GROMACS energy minimization |
of the system prior to equilibration and production MD |
|
7 |
GROMACS initial setup |
of topology and GRO structure file |
|
6 |
GROMACS simulation |
for system equilibration or data collection |
|
9 |
GROMACS solvation and adding ions |
to structure and topology files |
|
8 |
GROMACS structure configuration |
using editconf |
|
5 |
Group |
data by a column and perform aggregate operation on other columns. |
|
4 |
Group abundances |
of UniRef50 gene families obtained (HUMAnN2 output) to Gene Ontology (GO) slim terms |
|
2 |
GTF-to-BEDGraph |
converter |
Conversion
|
1 |
Gubbins |
Recombination detection in Bacteria |
|
2 |
Gumbel |
- determine essential genes |
|
6 |
Hcluster |
Assign sequences to OTUs (Operational Taxonomic Unit) |
|
2 |
Heatmap w ggplot |
|
|
6 |
Heatmap.bin |
Generate a heatmap for OTUs |
|
5 |
Heatmap.sim |
Generate a heatmap for pariwise similarity |
|
5 |
heatmap2 |
|
|
6 |
helixturnhelix |
Report nucleic acid binding motifs |
|
5 |
Hexamer frequency |
calculates hexamer (6mer) frequency for reads, genomes, and mRNA sequences |
|
6 |
hicAdjustMatrix |
adjust the shape of a Hi-C matrix |
|
6 |
hicAggregateContacts |
allow plotting of aggregated Hi-C contacts between regions specified in a file |
|
10 |
hicAverageRegions |
sums Hi-C contacts around given reference points and computes their average. |
|
6 |
hicBuildMatrix |
create a contact matrix |
|
18 |
hicCompareMatrices |
normalize and compare two Hi-C contact matrices |
|
11 |
hicCompartmentalization |
compute pairwise correlations between multiple Hi-C contact matrices |
|
6 |
hicConvertFormat |
Convert between different file formats |
|
7 |
hicCorrectMatrix |
run a Hi-C matrix correction algorithm |
|
17 |
hicCorrelate |
compute pairwise correlations between multiple Hi-C contact matrices |
|
15 |
hicDetectLoops |
searches for enriched regions |
|
6 |
hicFindRestSite |
identify restriction enzyme sites |
|
7 |
hicFindTADs |
identify TAD boundaries by computing the degree of separation of each Hi-C matrix bin |
|
16 |
hicInfo |
get information about the content of a Hi-C matrix |
|
6 |
hicMergeLoops |
merge detected loops of different resolutions. |
|
7 |
hicMergeMatrixBins |
merge adjacent bins from a Hi-C contact matrix to reduce its resolution |
|
15 |
hicNormalize |
normalizes a matrix to norm range or smallest read count |
|
7 |
hicPCA |
compute the principal components for A / B compartment analysis |
|
12 |
hicPlotAverageRegions |
plot the average regions from hicAverageRegions |
|
7 |
hicPlotDistVsCounts |
compute distance vs Hi-C counts plot per chromosome |
|
15 |
hicPlotMatrix |
plot a Hi-C contact matrix heatmap |
|
16 |
hicPlotSVL |
plots the relation of short vs long range contacts |
|
6 |
hicPlotTADs |
plot Hi-C contact matrices heatmaps alongside other data tracks |
|
9 |
hicPlotViewpoint |
plot interactions around a viewpoint |
|
12 |
hicQuickQC |
get a first quality estimate of Hi-C data |
|
7 |
hicSumMatrices |
combine Hi-C matrices of the same size |
|
16 |
hicTransform |
transform a matrix to obs/exp, pearson and covariance matrices |
|
12 |
hicValidateLocations |
validate detected loops with protein peaks. |
|
6 |
HighResPrecursorMassCorrector |
Corrects the precursor mass and charge determined by the instrument software. |
|
5 |
HISAT2 |
A fast and sensitive alignment program |
|
19 |
Histogram |
of a numeric column |
|
4 |
Histogram equalization |
automatic histogram equalization |
|
1 |
Histogram w ggplot2 |
|
|
7 |
HMDB MS search |
search by masses on HMDB online LCMS bank |
|
6 |
hmmalign |
align sequences to a profile HMM |
|
7 |
hmmbuild |
Build a profile HMM from an input multiple alignment |
|
8 |
hmmconvert |
convert profile file to a HMMER format |
|
7 |
hmmemit |
sample sequence(s) from a profile HMM |
|
7 |
hmmfetch |
retrieve profile HMM(s) from a file |
|
7 |
hmmscan |
search sequence(s) against a profile database |
|
8 |
hmmsearch |
search profile(s) against a sequence database |
|
8 |
hmoment |
Hydrophobic moment calculation |
|
5 |
Homova |
Homogeneity of molecular variance |
|
5 |
htseq-count |
- Count aligned reads in a BAM file that overlap features in a GFF file |
|
9 |
HUMAnN2 |
to profile presence/absence and abundance of microbial pathways and gene families |
|
5 |
HVIS |
visualization of genomic data with the Hilbert curve |
|
2 |
Hydrogen Bond Analysis using VMD |
between two segments of a trajectory |
|
1 |
Hyperparameter Search |
performs hyperparameter optimization using various SearchCVs |
|
11 |
HyPhy-aBSREL |
adaptive Branch Site Random Effects Likelihood |
|
27 |
HyPhy-BGM |
- Detecting coevolving sites via Bayesian graphical models |
|
26 |
HyPhy-BUSTED |
Branch-site Unrestricted Statistical Test for Episodic Diversification |
|
26 |
HyPhy-FADE |
: FUBAR* Approach to Directional Evolution (*Fast Unconstrained Bayesian Approximation) |
|
25 |
HyPhy-FEL |
Fixed Effects Likelihood |
|
25 |
HyPhy-FUBAR |
Fast Unconstrained Bayesian AppRoximation |
|
25 |
HyPhy-GARD |
Genetic Algorithm for Recombination Detection |
|
26 |
HyPhy-MEME |
Mixed Effects Model of Evolution |
|
25 |
HyPhy-PRIME |
Property Informed Models of Evolution |
|
20 |
HyPhy-RELAX |
Detect relaxed selection in a codon-based phylogenetic framework |
|
24 |
HyPhy-SLAC |
Single Likelihood Ancestor Counting |
|
25 |
HyPhy-SM2019 |
Partition Tree using Modified Slatkin-Maddison Test |
|
24 |
iAssembler |
Assembly of transcriptomes. |
|
1 |
ID Converter |
(Human, Mouse, Rat) |
|
2 |
IDBA-HYBRID |
Iterative de Bruijn Graph Assembler for hybrid sequencing data |
|
2 |
IDBA-TRAN |
Iterative de Bruijn Graph Assembler for transcriptome data |
|
3 |
IDBA-UD |
Iterative de Bruijn Graph Assembler for data with highly uneven depth |
|
3 |
IDConflictResolver |
Resolves ambiguous annotations of features with peptide identifications |
|
5 |
Identify optimal scoring subnetwork |
using Heinz |
|
2 |
IdentifyPrimaryObjects |
identify biological objects of interest |
|
2 |
IDFilter |
Filters results from protein or peptide identification engines based on different criteria. |
|
6 |
IDMapper |
Assigns protein/peptide identifications to features or consensus features. |
|
5 |
IDMerger |
Merges several protein/peptide identification files into one file. |
|
6 |
IDPosteriorErrorProbability |
Estimates probabilities for incorrectly assigned peptide sequences and a set of search engine scores using a mixture model. |
|
5 |
IDR |
compare ranked list of identifications |
|
2 |
IDR/OMERO Download |
- download images from any OMERO instance using image IDs |
|
10 |
IDScoreSwitcher |
Switches between different scores of peptide or protein hits in identification data |
|
6 |
IdxStats |
reports stats of the BAM index file |
|
8 |
IEDB |
MHC Binding prediction |
|
3 |
iep |
Calculates the isoelectric point of a protein |
|
5 |
IlluQC Parallel |
Runs IlluQC Parallel verion |
|
1 |
Image Converter |
|
|
3 |
Image Info |
Show Image Info |
|
2 |
Image Montage |
|
|
3 |
ImageMath |
perform simple mathematical operations on images |
|
2 |
Import Anndata and loom |
from different format |
|
9 |
InChI to CML |
|
|
2 |
InChI to MOL2 |
|
|
2 |
InChI to SDF |
|
|
2 |
InChI to SMILES |
|
|
2 |
inchi-to-mol |
converter |
|
2 |
Indicator |
Identify indicator "species" for nodes on a tree |
|
5 |
Infer Experiment |
speculates how RNA-seq were configured |
|
12 |
infoseq |
Displays some simple information about sequences |
|
5 |
Initial processing using RaceID |
performs filtering, normalisation, and confounder removal to generate a normalised and filtered count matrix of single-cell RNA data |
|
8 |
Inner Distance |
calculate the inner distance (or insert size) between two paired RNA reads |
|
12 |
Insert indel qualities |
into a BAM file |
|
4 |
Insertion Profile |
calculates the distribution of inserted nucleotides across reads |
|
6 |
Insertion size metrics |
for PAIRED data |
|
3 |
Inspect and manipulate |
with scanpy |
|
7 |
Inspect AnnData |
object |
|
10 |
InterProScan |
functional annotation |
|
9 |
Intersect |
the intervals of two datasets |
Filtering
|
6 |
Intersect |
multiple VCF datasets |
|
2 |
Intersect intervals |
find overlapping intervals in various ways |
|
22 |
IQ-TREE |
Phylogenomic / evolutionary tree construction from multiple sequences |
|
7 |
Iris |
Refine insertion sequences |
|
3 |
isochore |
Plots isochores in large DNA sequences |
|
5 |
ivar consensus |
Call consensus from aligned BAM file |
|
9 |
ivar filtervariants |
Filter variants across replicates or multiple samples aligned using the same reference |
|
7 |
ivar getmasked |
Detect primer mismatches and get primer indices for the amplicon to be masked |
|
4 |
ivar removereads |
Remove reads from trimmed BAM file |
|
11 |
ivar trim |
Trim reads in aligned BAM |
|
13 |
ivar variants |
Call variants from aligned BAM file |
|
9 |
IWTomics Load |
Smooth and Plot |
|
1 |
IWTomics Plot with Threshold |
on Test Scale |
|
1 |
IWTomics Test |
and Plot |
|
1 |
jackhmmer |
iteratively search a protein sequence against a protein database (PSIBLAST-like) |
|
8 |
JasmineSV |
Merge structural variants across samples |
|
2 |
JBrowse |
genome browser |
Map drawing
Sequence visualisation
|
31 |
JBrowse - Data Directory to Standalone |
upgrades the bare data directory to a full JBrowse instance |
Conversion
|
30 |
Je-Demultiplex |
demultiplexes fastq files |
|
2 |
JModelTest 1.0 |
JModelTest description here. |
|
1 |
Join |
the intervals of two datasets side-by-side |
Aggregation
|
5 |
Join |
HUMAnN2 generated tables |
|
4 |
Join |
two files |
|
12 |
Join MAF blocks |
by Species |
|
1 |
Join two Datasets |
side by side on a specified field |
|
4 |
Join two files |
on column allowing a small difference |
|
2 |
JQ |
process JSON |
|
1 |
Junction Annotation |
compares detected splice junctions to reference gene model |
|
12 |
Junction Saturation |
detects splice junctions from each subset and compares them to reference gene model |
|
12 |
Kallisto pseudo |
- run pseudoalignment on RNA-Seq transcripts |
|
6 |
Kallisto quant |
- quantify abundances of RNA-Seq transcripts |
|
8 |
Kc-Align |
|
|
11 |
Kernel Canonical Correlation Analysis |
|
|
2 |
Kernel Principal Component Analysis |
|
|
2 |
khmer: Abundance Distribution |
Calculate abundance distribution of k-mers using pre-made k-mer countgraphs |
|
4 |
khmer: Abundance Distribution (all-in-one) |
Calculate abundance distribution of k-mers |
|
4 |
khmer: Count Median |
Count the median/avg k-mer abundance for each sequence |
|
4 |
khmer: Extract partitions |
Separate sequences that are annotated with partitions into grouped files |
|
4 |
khmer: Filter reads |
by minimal k-mer abundance |
|
4 |
khmer: Filter reads |
below k-mer abundance of 50 |
|
4 |
khmer: Normalize By Median |
Filter reads using digital normalization via k-mer abundances |
Sequence file editing
Sequence word comparison
|
5 |
khmer: Sequence partition all-in-one |
Load, partition, and annotate sequences |
|
4 |
Kmer |
To calculate the proportion and phasing of each kmer |
|
1 |
KOBAS Annotate |
KEGG Orthology Based Annotation System |
|
3 |
KOBAS Identify |
KEGG Orthology Based Annotation System |
|
3 |
KofamScan |
gene function annotation based on KEGG orthology and HMM |
|
2 |
Kraken |
assign taxonomic labels to sequencing reads |
|
8 |
Kraken taxonomic report |
view report of classification for multiple samples |
|
3 |
Kraken-filter |
filter classification by confidence score |
|
4 |
Kraken-mpa-report |
view report of classification for multiple samples |
|
5 |
Kraken-report |
view sample report of a classification |
|
5 |
Kraken-translate |
convert taxonomy IDs to names |
|
4 |
Kraken2 |
assign taxonomic labels to sequencing reads |
|
5 |
Krona pie chart |
from taxonomic profile |
|
10 |
LAJ |
Pairwise Alignment Viewer |
|
1 |
LAST-split |
finds "split alignments" (typically for DNA) or "spliced alignments" (typically for RNA). |
|
4 |
LAST-train |
finds the rates (probabilities) of insertion, deletion, and substitutions between two sets of sequences. |
|
5 |
LASTal |
finds local alignments between query sequences, and reference sequences. |
|
6 |
LASTdb |
prepares sequences for subsequent comparison and alignment using lastal. |
|
5 |
LASTZ |
: align long sequences |
|
7 |
Lastz paired reads |
map short paired reads against reference sequence |
|
2 |
LASTZ_D |
: estimate substitution scores matrix |
|
5 |
LAV to BED |
Converts a LAV formatted file to BED format |
|
1 |
LD |
linkage disequilibrium and tag SNPs |
|
1 |
Lefse |
description |
|
5 |
Libshuff |
Cramer-von Mises tests communities for the same structure |
|
5 |
LightGBM |
- train and apply LightGBM models |
|
3 |
limma |
Perform differential expression with limma-voom or limma-trend |
Differential gene expression profiling
RNA-seq read count analysis
|
19 |
lindna |
Draws linear maps of DNA constructs |
|
5 |
Line/Word/Character count |
of a dataset |
|
1 |
Lineage Branch Analysis using StemID |
inspects branches of a lineage tree |
|
6 |
Lineage computation using StemID |
generates lineage from prior clustering |
|
6 |
Linear regression ajusted |
for autocorrelation in the residuals |
|
1 |
List Installed SnpEff Genomes |
available for variant annotation with MiModD |
|
1 |
List spaln parameter tables |
Given a query species, list the spaln settings tables that exist, from closest related species to most different |
|
4 |
List.otulabels |
Lists otu labels from shared or relabund file |
|
5 |
List.seqs |
Lists the names (accnos) of the sequences |
|
5 |
Load built-in reference data to history |
|
|
1 |
Lofreq filter |
called variants posteriorly |
|
4 |
Lordec |
is a set a programs for correcting sequencing errors in PacBio reads |
|
5 |
LotuS2 |
fast OTU processing pipeline |
|
10 |
LPS |
LASSO-Patternsearch algorithm |
|
1 |
LUMPY |
is a probabilistic framework for structural variant discovery |
|
2 |
LUMPY preprocessing |
extracts discordant read pairs and split-read alignments from a BAM dataset |
|
2 |
Machine Learning Visualization Extension |
includes several types of plotting for machine learning |
|
6 |
MACS |
Model-based Analysis of ChIP-Seq |
|
4 |
MACS2 bdgbroadcall |
Call broad peaks from bedGraph output |
|
9 |
MACS2 bdgcmp |
Deduct noise by comparing two signal tracks in bedGraph |
|
9 |
MACS2 bdgdiff |
Differential peak detection based on paired four bedgraph files |
|
10 |
MACS2 bdgpeakcall |
Call peaks from bedGraph output |
|
9 |
MACS2 callpeak |
Call peaks from alignment results |
|
12 |
MACS2 filterdup |
Remove duplicate reads at the same position |
|
9 |
MACS2 predictd |
Predict 'd' or fragment size from alignment results |
|
9 |
MACS2 randsample |
Randomly sample number or percentage of total reads |
|
9 |
MACS2 refinepeak |
Refine peak summits and give scores measuring balance of forward- backward tags (Experimental) |
|
9 |
MAF Coverage Stats |
Alignment coverage information |
|
3 |
MAF to BED |
Converts a MAF formatted file to the BED format |
|
1 |
MAF to FASTA |
Converts a MAF formatted file to FASTA format |
|
1 |
MAF to Interval |
Converts a MAF formatted file to the Interval format |
|
1 |
MAF-convert |
read MAF-format alignments and write them in another format. |
|
4 |
MAFFT |
Multiple alignment program for amino acid or nucleotide sequences |
|
9 |
mafft |
Multiple Sequence Alignment |
|
2 |
MAFFT add |
Align a sequence,alignment or fragments to an existing alignment. |
|
6 |
MAGeCK count |
- collect sgRNA read counts from read mapping files |
|
8 |
MAGeCK GSEA |
- a fast implementation of Gene Set Enrichment Analysis |
|
4 |
MAGeCK mle |
- perform maximum-likelihood estimation of gene essentiality scores |
|
5 |
MAGeCK pathway |
- given a ranked gene list, test whether one pathway is enriched |
|
4 |
MAGeCKs test |
- given a table of read counts, perform the sgRNA and gene ranking |
|
5 |
Make Design |
Assign groups to Sets |
|
5 |
Make strain profiles |
|
|
3 |
Make.biom |
Make biom files from a shared file |
|
5 |
Make.contigs |
Aligns paired forward and reverse fastq files to contigs as fasta and quality |
|
6 |
Make.fastq |
Convert fasta and quality to fastq |
|
6 |
Make.group |
Make a group file |
|
6 |
Make.lefse |
create a lefse formatted input file from mothur's output files |
|
6 |
Make.lookup |
allows you to create custom lookup files for use with shhh.flows |
|
5 |
Make.shared |
Make a shared file from a list and a group |
|
5 |
Make.sra |
creates the necessary files for a NCBI submission |
|
5 |
Maker |
genome annotation pipeline |
|
10 |
MALDIquant peak detection |
Peak detection, binning and filtering for mass-spectrometry imaging data |
|
7 |
MALDIquant preprocessing |
Preprocessing of mass-spectrometry imaging data |
|
4 |
Manipulate AnnData |
object |
|
10 |
Manipulate FASTQ |
reads on various attributes |
Sequence conversion
|
4 |
Manipulate loom object |
Add layers, or row/column attributes to a loom file |
|
7 |
Mantel |
Mantel correlation coefficient between two matrices. |
|
5 |
Map annotation ids |
on a Maker annotation |
|
5 |
Map with BFAST |
|
|
1 |
Map with Bowtie for Illumina |
|
|
7 |
Map with Bowtie for SOLiD |
|
|
1 |
Map with BWA |
- map short reads (< 100 bp) against reference genome |
|
12 |
Map with BWA-MEM |
- map medium and long reads (> 100 bp) against reference genome |
DNA mapping
Genetic mapping
Genome annotation
Mapping
Mapping assembly
Protein SNP mapping
Sequence assembly
Sequence tag mapping
|
14 |
Map with KMA |
|
|
2 |
Map with minimap2 |
A fast pairwise aligner for genomic and spliced nucleotide sequences |
Sequence alignment
|
18 |
Map with Mosaik |
|
|
1 |
Map with PerM |
for SOLiD and Illumina |
|
1 |
MapBed |
apply a function to a column for each overlapping interval |
|
21 |
Mapper |
for long, error-prone reads, like Nanopore ONT and PacBio |
|
1 |
Mark Duplicate reads |
|
|
3 |
MarkDuplicates |
examine aligned records in BAM datasets to locate duplicate molecules |
|
17 |
MarkDuplicatesWithMateCigar |
examine aligned records in BAM datasets to locate duplicate molecules |
|
16 |
marscan |
Finds MAR/SAR sites in nucleic sequences |
|
5 |
mash screen |
determines how well query sequences are contained within a pool of sequences |
|
3 |
mash sketch |
Create a reduced representation of a sequence or set of sequences, based on min-hashes |
|
1 |
maSigPro |
Significant Gene Expression Profile Differences in Time Course Gene Expression Data |
|
5 |
maskfeat |
Mask off features of a sequence |
|
5 |
MaskImage |
hide portions of an image based on previously identified objects |
|
2 |
maskseq |
Mask off regions of a sequence |
|
5 |
MasterVar to pgSnp |
Convert from MasterVar to pgSnp format |
|
1 |
matcher |
Finds the best local alignments between two sequences |
|
5 |
Max SuCOS score |
- determine maximum SuCOS score of ligands against clustered fragment hits |
|
7 |
MaxBin2 |
clusters metagenomic contigs into bins |
|
4 |
MaxQuant |
|
Imputation
Protein quantification
Statistical calculation
|
17 |
MaxQuant (using mqpar.xml) |
|
Imputation
Protein quantification
Statistical calculation
|
9 |
MDTraj file converter |
- interconvert between MD trajectory file formats. |
|
5 |
MeanQualityByCycle |
chart distribution of base qualities |
|
14 |
MeasureGranularity |
output spectra of size measurements of the textures |
|
2 |
MeasureImageAreaOccupied |
measure the area in an image occupied by objects |
|
2 |
MeasureImageIntensity |
measure several intensity features across an entire image |
|
2 |
MeasureImageQuality |
measure features that indicate image quality |
|
2 |
MeasureObjectIntensity |
measure several intensity features for identified objects |
|
2 |
MeasureObjectSizeShape |
measure area and shape features of identified objects |
|
2 |
MeasureTexture |
quantify the roughness and smoothness of the textures |
|
2 |
medaka consensus pipeline |
Assembly polishing via neural networks |
|
11 |
medaka consensus tool |
Assembly polishing via neural networks |
|
10 |
medaka variant pipeline |
via neural networks |
|
9 |
medaka variant tool |
decodes variant calls from medaka consensus output |
|
14 |
Megablast |
compare short reads against htgs, nt, and wgs databases |
|
2 |
MEGAHIT |
for metagenomics assembly |
|
7 |
megamerger |
Merge two large overlapping nucleic acid sequences |
|
5 |
melt |
collapse combinations of variables:values to single lines |
|
1 |
MEME |
- Multiple EM for Motif Elicitation |
|
10 |
MEME psp-gen |
- perform discriminative motif discovery |
|
6 |
MEME-ChIP |
- motif discovery, enrichment analysis and clustering on large nucleotide datasets |
|
3 |
Merge |
the overlapping intervals of a dataset |
Sequence merging
|
5 |
Merge |
multiple VCF datasets |
|
2 |
Merge BAM Files |
merges BAM files together |
|
3 |
Merge BedGraph files |
|
|
3 |
Merge Columns |
together |
|
4 |
Merge GROMACS topologies |
and GRO files |
|
7 |
Merge.files |
Merge data |
|
5 |
Merge.groups |
Merge groups in a shared file |
|
5 |
Merge.sfffiles |
Merge SFF files |
|
5 |
Merge.taxsummary |
Merge tax.summary files |
|
6 |
MergeBamAlignment |
merge alignment data with additional info stored in an unmapped BAM dataset |
|
14 |
merger |
Merge two overlapping nucleic acid sequences |
|
5 |
MergeSamFiles |
merges multiple SAM/BAM datasets into one |
|
14 |
Metabolic Reaction Enrichment Analysis |
|
|
1 |
MetaEuk Easy Predict |
High-throughput gene discovery and annotation for large-scale eukaryotic metagenomics |
|
3 |
Metagene Analysis |
(Step 3) Metagene analysis using riboSeqR. |
|
1 |
metagenomeSeq Normalization |
Cumulative sum scaling |
|
1 |
MetaPhlAn2 |
to profile the composition of microbial communities |
|
2 |
metaQuantome: create samples file |
by specifying the experiment's groups and associated column names |
|
6 |
metaQuantome: database |
download the GO, EC, and NCBI databases |
|
6 |
metaQuantome: expand |
a set of functional or taxonomy annotations |
|
6 |
metaQuantome: filter |
for quality, redundancy, and sample coverage |
|
6 |
metaQuantome: stat |
differential analysis of functional expression and taxonomic abundance |
|
6 |
metaQuantome: visualize |
taxonomic analysis, functional analysis, and function-taxonomy analysis results |
|
6 |
metaSPAdes |
metagenome assembler |
|
12 |
Metastats |
generate principle components plot data |
|
5 |
MethylDackel |
A tool for processing bisulfite sequencing alignments |
Gene methylation analysis
|
7 |
metilene |
calling differentially methylated regions from bisulfite sequencing data |
|
5 |
MiGMAP |
mapper for full-length T- and B-cell repertoire sequencing |
|
5 |
Mimarks.attributes |
Reads bioSample Attributes xml and generates source for get.mimarkspackage command |
|
5 |
MiModD Convert |
converts sequence data into different formats |
|
2 |
MiModD Coverage Statistics |
calculates coverage statistics for a BCF file as generated by the MiModd Variant Calling tool |
|
2 |
MiModD Deletion Calling (for PE data) |
predicts deletions in one or more aligned paired-end read samples based on coverage of the reference genome and on insert sizes |
|
2 |
MiModD Extract Variant Sites |
from a BCF file |
|
2 |
MiModD File Information |
provides summary reports for supported sequence data formats. |
|
3 |
MiModD NacreousMap |
maps phenotypically selected variants by multi-variant linkage analysis |
|
3 |
MiModD Rebase Sites |
from a VCF file |
|
3 |
MiModD Reheader |
takes a BAM file and generates a copy with the original header (if any) replaced or modified by that found in a template SAM file |
|
2 |
MiModD Report Variants |
in a human-friendly format that simplifies data exploration |
|
3 |
MiModD Run Annotation |
writes run metadata in SAM format for attaching it to sequenced reads data |
|
2 |
MiModD Sort |
takes a SAM/BAM dataset and generates a coordinate/name-sorted copy |
|
2 |
MiModD Variant Annotation |
with functional effects on genes and transcripts |
|
1 |
MiModD Variant Calling |
generates a BCF file of position-specific variant likelihoods and coverage information based on a reference sequence and reads aligned against it |
|
2 |
MiModD VCF Filter |
extracts lines from a vcf variant file based on field-specific filters |
|
3 |
MINE |
- Maximal Information-based Nonparametric Exploration |
|
2 |
Minia |
Short-read assembler based on a de Bruijn graph |
|
3 |
miniasm |
Ultrafast de novo assembly for long noisy reads |
|
7 |
Mismatch Profile |
calculates the distribution of mismatches across reads |
|
6 |
MITOS |
de-novo annotation of metazoan mitochondrial genomes |
|
2 |
MITOS2 |
de-novo annotation of metazoan mitochondrial genomes |
|
3 |
MiXCR Analyze |
immuno clonotyes from sequence data |
|
1 |
MLST |
Scans genomes against PubMLST schemes |
|
4 |
MLST List |
Lists available schemes for the MLST tool |
|
4 |
MOABS |
MOdel based Analysis of Bisulfite Sequencing data |
|
2 |
Model Prediction |
predicts on new data using a preffited model |
|
7 |
Model temporal trend |
with a simple linear regression |
|
1 |
Model temporal trend |
with a simple linear regression |
|
1 |
Model Validation |
includes cross_validate, cross_val_predict, learning_curve, and more |
|
11 |
MOL to CML |
|
|
2 |
MOL to MOL2 |
|
|
2 |
MOL to SMILES |
|
|
2 |
MOL2 to CML |
|
|
2 |
MOL2 to InChI |
|
|
2 |
MOL2 to SDF |
|
|
2 |
MOL2 to SMILES |
|
|
2 |
mol2-to-mol |
converter |
|
2 |
Molecule to fingerprint |
conversion to several different fingerprint formats |
|
5 |
mothur.ref.taxonomy-to-mothur.seq.taxonomy |
converter |
|
2 |
MrBayes |
with options and commands |
|
2 |
MSABOOT |
Output PHYLIP file with bootstrapped multiple sequence alignment data |
|
3 |
msbar |
Mutate sequence beyond all recognition |
|
5 |
msconvert |
Convert and/or filter mass spectrometry files |
|
5 |
MSGFPlusAdapter |
MS/MS database search using MS-GF+. |
|
6 |
MSI classification |
spatial classification of mass spectrometry imaging data |
|
10 |
MSI combine |
combine several mass spectrometry imaging datasets into one |
|
11 |
MSI data exporter |
exports imzML and Analyze7.5 to tabular files |
|
7 |
MSI filtering |
tool for filtering mass spectrometry imaging data |
|
8 |
MSI mz images |
mass spectrometry imaging m/z heatmaps |
|
8 |
MSI plot spectra |
mass spectrometry imaging mass spectra plots |
|
10 |
MSI preprocessing |
mass spectrometry imaging preprocessing |
|
11 |
MSI Qualitycontrol |
mass spectrometry imaging QC |
|
11 |
MSI segmentation |
mass spectrometry imaging spatial clustering |
|
8 |
MSnbase readMSData |
Imports mass-spectrometry data files |
|
3 |
MSstats |
statistical relative protein significance analysis in DDA, SRM and DIA Mass Spectrometry |
|
5 |
Multi-Join |
(combine multiple files) |
|
10 |
multiBamSummary |
calculates average read coverages for a list of two or more BAM/CRAM files |
|
17 |
multiBigwigSummary |
calculates average scores for a list of two or more bigwig files |
|
17 |
MultiplexCrisprDOE - simulation- and BioCCP-based approaches for computing the minimal plant library size |
|
|
1 |
MultiQC |
aggregate results from bioinformatics analyses into a single report |
Statistical calculation
Validation
Visualisation
|
18 |
Mummer |
Align two or more sequences |
Read mapping
Sequence alignment
|
5 |
Mummerplot |
Generate 2-D dotplot of aligned sequences |
Read mapping
Sequence alignment
|
5 |
Mutate Codons |
with SNPs |
|
1 |
mview |
View multiple sequence alignment in html |
|
1 |
mz to sqlite |
Extract mzIdentML and associated proteomics datasets into a SQLite DB |
|
5 |
Naive Variant Caller (NVC) |
- tabulate variable sites from BAM datasets |
|
5 |
NanoComporeDB |
Process SampComp results database |
|
3 |
NanoPlot |
Plotting suite for Oxford Nanopore sequencing data and alignments |
|
6 |
Nanopolish eventalign |
- Align nanopore events to reference k-mers |
|
3 |
Nanopolish methylation |
- Classify nucleotides as methylated or not. |
|
3 |
Nanopolish polyA |
- Estimate the length of the poly-A tail on direct RNA reads. |
|
3 |
Nanopolish variants |
- Find SNPs of basecalled merged Nanopore reads and polishes the consensus sequences |
|
3 |
NanopolishComp: EventalignCollapse |
by kmers rather than by event |
|
2 |
NanopolishComp: FreqMethCalculate |
calculates methylation frequency at genomic CpG sites |
|
1 |
NCBI Accession Download |
Download sequences from GenBank/RefSeq by accession through the NCBI ENTREZ API |
|
3 |
NCBI BLAST+ blastdbcmd entry(s) |
Extract sequence(s) from BLAST database |
Data retrieval
Database search
|
18 |
NCBI BLAST+ blastn |
Search nucleotide database with nucleotide query sequence(s) |
Data retrieval
Database search
Sequence similarity search
|
19 |
NCBI BLAST+ blastp |
Search protein database with protein query sequence(s) |
Data retrieval
Database search
Sequence similarity search
|
19 |
NCBI BLAST+ blastx |
Search protein database with translated nucleotide query sequence(s) |
Data retrieval
Database search
Sequence similarity search
|
18 |
NCBI BLAST+ convert2blastmask |
Convert masking information in lower-case masked FASTA input to file formats suitable for makeblastdb |
Conversion
|
15 |
NCBI BLAST+ database info |
Show BLAST database information from blastdbcmd |
Data retrieval
|
18 |
NCBI BLAST+ dustmasker |
masks low complexity regions |
Sequence complexity calculation
|
16 |
NCBI BLAST+ makeblastdb |
Make BLAST database |
Genome indexing
|
18 |
NCBI BLAST+ makeprofiledb |
Make profile database |
Genome indexing
|
14 |
NCBI BLAST+ rpsblast |
Search protein domain database (PSSMs) with protein query sequence(s) |
Data retrieval
Database search
Sequence similarity search
|
17 |
NCBI BLAST+ rpstblastn |
Search protein domain database (PSSMs) with translated nucleotide query sequence(s) |
Data retrieval
Database search
Sequence similarity search
|
17 |
NCBI BLAST+ segmasker |
low-complexity regions in protein sequences |
Sequence complexity calculation
|
15 |
NCBI BLAST+ tblastn |
Search translated nucleotide database with protein query sequence(s) |
Data retrieval
Database search
Sequence similarity search
|
19 |
NCBI BLAST+ tblastx |
Search translated nucleotide database with translated nucleotide query sequence(s) |
Data retrieval
Database search
Sequence similarity search
|
19 |
NCBI Datasets Genomes |
download genome sequence, annotation and metadata |
|
12 |
Nearest Neighbors Classification |
|
|
11 |
needle |
Needleman-Wunsch global alignment |
|
5 |
newcpgreport |
Report CpG rich areas |
|
5 |
newcpgseek |
Reports CpG rich region |
|
5 |
Newick Display |
visualize a phylogenetic tree |
Phylogenetic tree visualisation
|
2 |
newseq |
Type in a short new sequence |
|
5 |
nhmmer |
search a DNA model or alignment against a DNA database (BLASTN-like) |
|
8 |
nhmmscan |
search DNA sequence(s) against a DNA profile database |
|
8 |
NJst |
Estimate species tree with NJst from table of tree names and newick trees |
|
1 |
Nmds |
generate non-metric multidimensional scaling data |
|
6 |
Nonpareil |
to estimate average coverage and generate Nonpareil curves |
|
2 |
noreturn |
Removes carriage return from ASCII files |
|
5 |
Normalize |
with scanpy |
|
7 |
Normalize |
combined meta'omic sequencing data |
|
3 |
Normalize.shared |
Normalize the number of sequences per group to a specified level |
|
5 |
NormalizeFasta |
normalize fasta datasets |
|
14 |
notseq |
Exclude a set of sequences and write out the remaining ones |
|
5 |
NOVOplasty |
de novo assembler for short circular genomes |
|
3 |
nthseq |
Writes one sequence from a multiple set of sequences |
|
5 |
NucBed |
profile the nucleotide content of intervals in a FASTA file |
|
21 |
Nucleotide subsequence search |
providing regions in BED format |
|
2 |
Nucmer |
Align two or more sequences |
Read mapping
Sequence alignment
|
5 |
Numeric Clustering |
|
|
12 |
NxN clustering |
of molecular fingerprints |
|
5 |
ococo |
consensus caller on SAM/BAM |
|
1 |
octanol |
Displays protein hydropathy |
|
5 |
oddcomp |
Find protein sequence regions with a biased composition |
|
5 |
odgi build |
construct a dynamic succinct variation graph |
|
2 |
odgi viz |
variation graph visualizations |
|
2 |
Online data |
fetching ... |
|
2 |
ont_fast5_api: Compress |
multi read file(s) |
|
2 |
ont_fast5_api: Multi to single |
read file(s) |
|
2 |
ont_fast5_api: Single to multi |
read file(s) |
|
2 |
ont_fast5_api: Subset |
of multi read file(s) |
|
3 |
OrthoFinder |
finds orthogroups in a set of proteomes |
|
7 |
Otu.association |
Calculate the correlation coefficient for the otus |
|
5 |
Otu.hierarchy |
Relate OTUs at different distances |
|
5 |
Overlay Segmentation Mask |
Overlay Segmentation Mask |
|
1 |
Owler |
fast, trimmed overlap pipeline without aligning |
|
1 |
Paired Read Mate Fixer |
for paired data |
|
3 |
Paired-end histogram |
of insert size frequency |
|
1 |
Pairwise intersection |
and heatmap for genomic intervals |
|
4 |
Pairwise.seqs |
calculate uncorrected pairwise distances between sequences |
|
5 |
palindrome |
Looks for inverted repeats in a nucleotide sequence |
|
5 |
Pangolin |
Phylogenetic Assignment of Outbreak Lineages |
|
22 |
Parallel Coordinates Plot |
of tabular data |
|
3 |
Parse blast XML output |
|
|
2 |
Parse.list |
Generate a List file for each group |
|
5 |
Parsimony |
Describes whether two or more communities have the same structure |
|
5 |
Partition genes into expression clusters |
after differential expression analysis using a Trinity assembly |
|
12 |
PASS |
significant transcription factor binding sites from ChIP data |
|
1 |
Paste |
two files side by side |
|
1 |
pasteseq |
Insert one sequence into another |
|
5 |
Pathview |
for pathway based data integration and visualization |
|
3 |
patmatdb |
Search a protein sequence with a motif |
|
5 |
Pca |
Principal Coordinate Analysis for a shared file |
|
6 |
PCA |
- principal component analysis using Bio3D |
|
2 |
PCA plot w ggplot2 |
|
|
7 |
PCA visualization |
- generate trajectories of principal components of atomic motion |
|
2 |
Pcoa |
Principal Coordinate Analysis for a distance matrix |
|
5 |
Pcr.seqs |
Trim sequences |
|
6 |
PDAUG Add Class Label |
Add class label to the training data set |
|
1 |
PDAUG Basic Plots |
Basic Plots |
|
1 |
PDAUG Fisher's Plot |
Analyze peptide sequence data based on feature spaces |
|
1 |
PDAUG Merge Dataframes |
Merge two data frames |
|
1 |
PDAUG ML Models |
Machine learning modeling |
|
1 |
PDAUG Peptide Data Access |
Fetch peptide data from inbuild datasets and public databases |
|
1 |
PDAUG Peptide Sequence Analysis |
Peptide sequence analysis |
|
1 |
PDAUG Sequence Property Based Descriptors |
Calculates sequence based descriptors of the peptide sequences |
|
1 |
PDAUG TSVtoFASTA |
Converts tabular peptide sequence data into fasta format |
|
1 |
PDpairs |
Pairwise distance between taxa in a phylogenetic tree |
|
1 |
PEAKachu |
Calls Peaks in CLIP data |
|
3 |
PeakPickerHiRes |
Finds mass spectrometric peaks in profile mass spectra. |
|
4 |
Pear |
Paired-End read merger |
|
5 |
pepcoil |
Predicts coiled coil regions |
|
5 |
pepinfo |
Plots simple amino acid properties in parallel |
|
5 |
pepnet |
Displays proteins as a helical net |
|
5 |
PepPointer |
classify genomic location of peptides |
|
2 |
pepstats |
Protein statistics |
|
5 |
Peptide Genomic Coordinate |
Get Peptide's genomic coordinate using mzsqlite DB and genomic mapping sqlite DB |
|
2 |
Peptide Shaker |
Perform protein identification using various search engines based on results from SearchGUI |
|
19 |
PeptideIndexer |
Refreshes the protein references for all peptide hits. |
|
6 |
pepwheel |
Shows protein sequences as helices |
|
5 |
pepwindow |
Displays protein hydropathy |
|
5 |
pepwindowall |
Displays protein hydropathy of a set of sequences |
|
5 |
Perform Best-subsets Regression |
|
|
2 |
Perform LDA |
Linear Discriminant Analysis |
|
2 |
phmmer |
search a protein sequence against a protein database (BLASTP-like) |
|
8 |
PhyKit - Alignment- and tree-based functions |
|
|
1 |
PhyKit - Alignment-based functions |
|
|
1 |
PhyKit - Tree-based functions |
|
|
1 |
Phylo.diversity |
Alpha Diversity calculates unique branch length |
|
5 |
Phylobayes |
Runs phylobayes |
|
1 |
Phylocatenator |
Produces concatenated sequence file from phytab file of aligned sequences |
|
1 |
Phylomatic |
Run Phylomatic |
|
1 |
Phylotype |
Assign sequences to OTUs based on taxonomy |
|
5 |
PhyML |
Phylogeny software based on the maximum-likelihood method. |
Phylogenetic analysis
Phylogenetic inference (from molecular sequences)
|
4 |
Phyogenetic reconstruction with RAxML |
- Maximum Likelihood based inference of large phylogenetic trees |
|
6 |
phytab aliscorecut |
aliscorecut :: Runs Aliscore then Alicut on an aligned sequence from phytab Muscle. |
|
1 |
phytab clearcut |
clearcut: Generate Neighbor Joining phylogeny. Input can be fasta or phytab format. |
|
1 |
phytab HMMBUILD |
hmmbuild :: profile HMM construction from multiple sequence alignments in phytab format. |
|
1 |
PHYTAB HMMSEARCH |
hmmsearch :: search profile(s) against a sequence database. Produces a phytab output. |
|
1 |
phytab LB pruner |
LB_pruner: Identify genes on very long branches. |
|
1 |
PHYTAB MUSCLE |
MUSCLE: Multiple sequence alignment. Input can be fasta or phytab format. |
|
1 |
PHYTAB prank |
prank: Multiple sequence alignment. Input can be fasta or phytab format. |
|
1 |
Phytab RaXML |
Phytab RaXML - RaXML for phytab format |
|
1 |
Phytab RaXML pars |
Phytab RaXML - RaXML for phytab format |
|
1 |
Picard Collect Sequencing Artifact Metrics |
Collect metrics to quantify single-base sequencing artifacts |
|
6 |
Pileup-to-Interval |
condenses pileup format into ranges of bases |
|
4 |
pilon |
An automated genome assembly improvement and variant detection tool |
|
2 |
Pipeline Builder |
an all-in-one platform to build pipeline, single estimator, preprocessor and custom wrappers |
|
11 |
place_fossils |
Maximum Likelihood Analysis |
|
1 |
PlasFlow |
Prediction of plasmid sequences in metagenomic contigs |
|
1 |
plink |
|
|
6 |
Plot |
with scanpy |
|
8 |
Plot abundance |
with trend line |
|
1 |
Plot abundance |
with trend line |
|
1 |
Plot actual vs predicted curves and residual plots |
of tabular data |
|
1 |
Plot confusion matrix, precision, recall and ROC and AUC curves |
of tabular data |
|
2 |
Plot Ribosome Profile |
(Step 4) Plot Ribosome profile using riboSeqR. |
|
1 |
plotcon |
Plot quality of conservation of a sequence alignment |
|
5 |
plotCorrelation |
Create a heatmap or scatterplot of correlation scores between different samples |
|
16 |
plotCoverage |
assesses the sequencing depth of BAM/CRAM files |
|
16 |
plotDEXSeq |
Visualization of the per gene DEXSeq results |
|
5 |
plotEnrichment |
plots read/fragment coverage over sets of regions |
|
12 |
plotFingerprint |
plots profiles of BAM files; useful for assesing ChIP signal strength |
|
17 |
plotHeatmap |
creates a heatmap for score distributions across genomic regions |
|
17 |
plotorf |
Plot potential open reading frames |
|
5 |
plotPCA |
Generate principal component analysis (PCA) plots from multiBamSummary or multiBigwigSummary output |
|
16 |
plotProfile |
creates a profile plot for score distributions across genomic regions |
|
16 |
Plotting tool |
for multiple series and graph types |
|
5 |
Poisson two-sample test |
|
|
1 |
polydot |
Displays all-against-all dotplots of a set of sequences |
|
5 |
Porechop |
adapter trimmer for Oxford Nanopore reads |
|
3 |
Pre.cluster |
Remove sequences due to pyrosequencing errors |
|
5 |
preg |
Regular expression search of a protein sequence |
|
6 |
Prepare riboSeqR input |
(Step 1) Prepare alignment file (SAM format, Ribo-Seq or RNA-Seq alignments) for riboSeqR analysis. |
|
1 |
Preprocess |
raw feature vectors into standardized datasets |
|
12 |
prettyplot |
Displays aligned sequences, with colouring and boxing |
|
5 |
prettyseq |
Output sequence with translated ranges |
|
5 |
Primer.design |
identify sequence fragments that are specific to particular OTUs |
|
5 |
primersearch |
Searches DNA sequences for matches with primer pairs |
|
5 |
Principal Component Analysis |
|
|
1 |
Principal component analysis |
with scikit-learn |
|
3 |
PRINSEQ |
to process quality of sequences |
|
5 |
Profile Annotations |
for a set of genomic intervals |
|
1 |
Prokka |
Prokaryotic genome annotation |
Coding region prediction
Gene prediction
Genome annotation
|
11 |
Promoter 2.0 |
Find eukaryotic PolII promoters in DNA sequences |
|
5 |
Protein Database Downloader |
|
|
6 |
Proteinortho |
detects orthologous proteins/genes within different species |
|
5 |
Proteinortho grab proteins |
finds genes/proteins in a given fasta file |
|
5 |
Proteinortho summary |
summaries the orthology-pairs/RBH files |
|
5 |
prottest |
Selection of best-fit models of protein evolution. |
|
1 |
Prune_taxa |
Pruning taxa from a tree or multiple trees |
|
1 |
psortb |
Determines sub-cellular localisation of bacterial/archaeal protein sequences |
|
5 |
PubChem Assay Downloader |
as canonical SMILES |
|
3 |
PubChem Download |
as canonical SMILES |
|
3 |
pyGenomeTracks |
plot genomic data tracks |
|
12 |
PyProphet export |
Export tabular files, optional swath2stats export |
|
2 |
PyProphet merge |
Merge multiple osw files |
|
1 |
PyProphet peptide |
Peptide error-rate estimation |
|
1 |
PyProphet protein |
Protein error-rate estimation |
|
1 |
PyProphet score |
Error-rate estimation for MS1, MS2 and transition-level data |
|
3 |
QualiMap BamQC |
|
|
5 |
QualiMap Counts QC |
|
|
2 |
QualiMap Multi-Sample BamQC |
|
|
2 |
QualiMap RNA-Seq QC |
|
|
3 |
Quality format converter |
(ASCII-Numeric) |
|
3 |
Quality Metrics |
Metrics and graphics to check the quality of the data |
|
2 |
QualityScoreDistribution |
chart quality score distribution |
|
14 |
Quast |
Genome assembly Quality |
|
14 |
Query Reactome pathway database |
|
|
4 |
Query Tabular |
using sqlite sql |
|
8 |
Racon |
Consensus module for raw de novo DNA assembly of long uncorrected reads |
|
8 |
Rarefaction.shared |
Generate inter-sample rarefaction curves for OTUs |
|
5 |
Rarefaction.single |
Generate intra-sample rarefaction curves for OTUs |
|
6 |
RAxML read placement |
RAxML read placement - Produces a labeled tree from RAxML. |
|
1 |
raxml_pars |
Use RAxML to calculate a phylogeny with Parsimony |
|
1 |
RCAS |
- RNA Centric Annotation System |
|
2 |
rDock cavity definition |
- generate the active site definition needed for rDock docking |
|
2 |
rDock docking |
- perform protein-ligand docking with rDock |
|
6 |
Re-align with SRMA |
|
|
1 |
Read Distribution |
calculates how mapped reads were distributed over genome feature |
|
12 |
Read Duplication |
determines reads duplication rate with sequence-based and mapping-based strategies |
|
10 |
Read GC |
determines GC% and read count |
|
10 |
Read NVC |
to check the nucleotide composition bias |
|
10 |
Read Quality |
determines Phred quality score |
|
10 |
Realign reads |
with LoFreq viterbi |
|
5 |
Rebase GFF3 features |
against parent features |
|
2 |
Reduce |
a HUMAnN2 generated table |
|
4 |
Regex Find And Replace |
|
|
5 |
Regex Replace |
Regular Expression replacement using the Python re module |
|
1 |
Regroup |
a HUMAnN2 generated table by features |
|
4 |
Reheader |
copy SAM/BAM header between datasets |
|
4 |
RelateObjects |
assign relationships parent-children between objects |
|
2 |
Remove beginning |
of a file |
|
1 |
Remove columns |
by heading |
|
2 |
Remove confounders |
with scanpy |
|
7 |
Remove sequencing artifacts |
|
|
5 |
Remove Unwanted Variation |
from RNA-seq data |
|
4 |
Remove.dists |
Removes distances from a phylip or column file |
|
6 |
Remove.groups |
Remove groups from groups,fasta,names,list,taxonomy |
|
5 |
Remove.lineage |
Picks by taxon |
|
5 |
Remove.otulabels |
Removes OTU labels |
|
6 |
Remove.otus |
Removes OTUs from various file formats |
|
5 |
Remove.rare |
Remove rare OTUs |
|
5 |
Remove.seqs |
Remove sequences by name |
|
6 |
Rename |
features of a HUMAnN2 generated table |
|
4 |
Rename sequences |
|
|
5 |
Renormalize |
a HUMAnN2 generated table |
|
5 |
ReorderSam |
reorder reads to match ordering in reference sequences |
|
17 |
RepeatMasker |
screen DNA sequences for interspersed repeats and low complexity regions |
Repeat sequence analysis
|
8 |
Replace |
parts of text |
|
12 |
Replace column |
by values which are defined in a convert file |
|
2 |
Replace Text |
in a specific column |
|
11 |
Replace Text |
in entire line |
|
11 |
ReplaceSamHeader |
replace header in a SAM/BAM dataset |
|
17 |
Resize coordinate window |
of GFF data |
|
3 |
Reverse |
columns in a tabular file |
|
5 |
Reverse Complement |
a MAF file |
|
1 |
Reverse-Complement |
|
|
5 |
Reverse.seqs |
Reverse complement the sequences |
|
5 |
RevertOriginalBaseQualitiesAndAddMateCigar |
revert the original base qualities and add the mate cigar tag |
|
14 |
RevertSam |
revert SAM/BAM datasets to a previous state |
|
14 |
revseq |
Reverse and complement a sequence |
|
5 |
RmDup |
remove PCR duplicates |
|
5 |
RMSD Analysis |
using Bio3D |
|
2 |
RMSF Analysis |
using Bio3D |
|
2 |
RNA fragment size |
calculates the fragment size for each gene/transcript |
|
8 |
RNA STAR |
Gapped-read mapper for RNA-seq data |
Mapping assembly
Sequence alignment
|
19 |
RNA STARSolo |
mapping, demultiplexing and gene quantification for single cell RNA-seq |
Sequence alignment
|
8 |
RNA/DNA |
converter |
|
5 |
rnaQUAST |
A Quality Assessment Tool for De Novo Transcriptome Assemblies |
|
3 |
RNASeq samples quality check |
for transcript quantification |
|
11 |
rnaSPAdes |
de novo transcriptome assembler |
|
13 |
Roary |
the pangenome pipeline - Quickly generate a core gene alignment from gff3 files |
|
8 |
Rolling window |
over a dataframe (e.g. for data smoothing) |
|
1 |
RPKM Count |
calculates raw count and RPKM values for transcript at exon, intron, and mRNA level |
|
4 |
RPKM Saturation |
calculates raw count and RPKM values for transcript at exon, intron, and mRNA level |
|
12 |
rtsne |
|
|
1 |
RXLR Motifs |
Find RXLR Effectors of Plant Pathogenic Oomycetes |
|
5 |
Sailfish |
transcript quantification from RNA-seq data |
|
4 |
Salmon quant |
Perform dual-phase, reads or mapping-based estimation of transcript abundance from RNA-seq reads |
|
13 |
Salmon quantmerge |
Merge multiple quantification results into a single file |
|
5 |
Salmonella Subtyping |
|
|
2 |
SALSA |
scaffold long read assemblies with Hi-C |
|
5 |
SAM-to-BAM |
convert SAM to BAM |
|
8 |
sam-to-unsorted.bam |
converter |
|
1 |
SAM/BAM Alignment Summary Metrics |
|
|
2 |
SAM/BAM GC Bias Metrics |
|
|
2 |
SAM/BAM Hybrid Selection Metrics |
for targeted resequencing data |
|
3 |
SampComp |
to compare Nanopolished datasets |
|
2 |
SamToFastq |
extract reads and qualities from SAM/BAM dataset and convert to fastq |
|
19 |
Samtools calmd |
recalculate MD/NM tags |
|
4 |
Samtools depth |
compute the depth at each position or region |
|
4 |
Samtools fastx |
extract FASTA or FASTQ from alignment files |
|
3 |
Samtools fixmate |
fill mate coordinates, ISIZE and mate related flags |
|
3 |
Samtools flagstat |
tabulate descriptive stats for BAM datset |
|
8 |
Samtools markdup |
marks duplicate alignments |
|
7 |
Samtools merge |
merge multiple sorted alignment files |
|
3 |
samtools mpileup |
multi-way pileup of variants |
|
11 |
Samtools sort |
order of storing aligned sequences |
|
7 |
Samtools split |
BAM dataset on readgroups |
|
5 |
Samtools stats |
generate statistics for BAM dataset |
|
7 |
Samtools view |
- reformat, filter, or subsample SAM, BAM or CRAM |
|
9 |
sansa annotate |
structural variants |
Genetic variation analysis
|
2 |
sarscov2formatter |
|
|
3 |
sarscov2summary |
|
|
1 |
SaveImages |
or movie files |
|
2 |
Scater: Calculate QC metrics |
Computes QC metrics from single-cell expression matrix |
|
4 |
Scater: filter SCE |
with user-defined parameters or PCA |
|
5 |
Scater: normalize SCE |
Compute normalised expression values for SCE |
|
3 |
Scater: PCA plot |
cell-level reduced dimension of a normalised SCE |
|
4 |
Scater: plot expression frequency |
Plot the frequency of expression against the mean expression level for SCE |
|
2 |
Scater: plot library QC |
to visualise library size, feature counts and mito gene expression |
|
4 |
Scater: t-SNE plot |
Produces a t-SNE plot of two components |
|
3 |
Scatterplot |
of two numeric columns |
|
4 |
Scatterplot with ggplot2 |
|
|
10 |
scHicAdjustMatrix |
clusters single-cell Hi-C interaction matrices on the raw data |
|
2 |
scHicCluster |
clusters single-cell Hi-C interaction matrices on the raw data |
|
2 |
scHicClusterCompartments |
clusters single-cell Hi-C interaction matrices with A/B compartments dimension reduction |
|
2 |
scHicClusterMinHash |
clusters single-cell Hi-C interaction matrices with MinHash dimension reduction |
|
2 |
scHicClusterSVL |
clusters single-cell Hi-C interaction matrices with svl dimension reduction |
|
2 |
scHicConsensusMatrices |
creates per cluster one average matrix |
|
2 |
scHicCorrectMatrices |
correct with KR algorithm single-cell Hi-C interaction matrices |
|
2 |
scHicCreateBulkMatrix |
creates the bulk matrix out of single-cell Hi-C interaction matrices |
|
1 |
scHicDemultiplex |
demultiplexes Nagano 2017 raw fastq files |
|
2 |
scHicInfo |
information about a single-cell scool matrix |
|
2 |
scHicMergeMatrixBins |
change the resolution of the scHi-C matrices |
|
2 |
scHicMergeToSCool |
merge multiple cool files to one scool file |
|
1 |
scHicNormalize |
normalize single-cell Hi-C interaction matrices to the same read coverage |
|
2 |
scHicPlotClusterProfiles |
plot single-cell Hi-C interaction matrices cluster profiles |
|
2 |
scHicPlotConsensusMatrices |
plot single-cell Hi-C interaction matrices cluster consensus matrices |
|
2 |
scHicQualityControl |
quality control for single-cell Hi-C interaction matrices |
|
2 |
scPipe |
- preprocessing pipeline for single cell RNA-seq |
|
4 |
Screen.seqs |
Screen sequences |
|
6 |
Scythe |
Scythe - A very simple adapter trimmer. |
|
1 |
SDF to CML |
|
|
2 |
SDF to Fingerprint |
- extract fingerprints from sdf file metadata |
|
5 |
SDF to InChI |
|
|
2 |
SDF to mol2 |
|
|
2 |
SDF to SMILES |
|
|
2 |
SEACR |
for sparse enrichment analysis |
|
1 |
SEACR |
for sparse enrichment analysis |
|
1 |
Search GUI |
Perform protein identification using various search engines and prepare results for input to Peptide Shaker |
|
22 |
Search in textfiles |
(grep) |
|
11 |
Secure Hash / Message Digest |
on a dataset |
|
2 |
Select |
lines that match an expression |
Filtering
|
3 |
Select first |
lines from a dataset |
Filtering
|
4 |
Select first |
lines from a dataset (head) |
|
9 |
Select high quality segments |
|
|
2 |
Select last |
lines from a dataset |
|
2 |
Select last |
lines from a dataset (tail) |
|
9 |
Select random lines |
from a file |
|
2 |
Send to cloud |
|
|
1 |
Sens.spec |
Determine the quality of OTU assignment |
|
6 |
Separate pgSnp alleles |
into columns |
|
1 |
Seq.error |
assess error rates in sequencing data |
|
5 |
seq2HLA |
HLA genotype and expression from RNA-seq |
|
2 |
seqmatchall |
All-against-all comparison of a set of sequences |
|
5 |
seqret |
Reads and writes sequences |
|
5 |
seqtk_comp |
get the nucleotide composition of FASTA/Q |
|
6 |
seqtk_cutN |
cut sequence at long N |
|
6 |
seqtk_dropse |
drop unpaired from interleaved Paired End FASTA/Q |
|
6 |
seqtk_fqchk |
fastq QC (base/quality summary) |
|
6 |
seqtk_hety |
regional heterozygosity |
|
6 |
seqtk_listhet |
extract the position of each het |
|
6 |
seqtk_mergefa |
merge two FASTA/Q files |
|
6 |
seqtk_mergepe |
interleave two unpaired FASTA/Q files for a paired-end file |
|
6 |
seqtk_mutfa |
point mutate FASTA at specified positions |
|
6 |
seqtk_randbase |
choose a random base from hets |
|
6 |
seqtk_sample |
random subsample of fasta or fastq sequences |
|
6 |
seqtk_seq |
common transformation of FASTA/Q |
|
6 |
seqtk_subseq |
extract subsequences from FASTA/Q files |
|
6 |
seqtk_trimfq |
trim FASTQ using the Phred algorithm |
|
6 |
Sequence Content Trimmer |
trim reads based on certain bases |
|
2 |
Sequence Gap Remover |
Removes gap in sequences |
|
1 |
Sequence Logo |
generator for fasta (eg Clustal alignments) |
|
2 |
seqwish |
Alignment to variation graph inducer |
|
7 |
Seurat |
- toolkit for exploration of single-cell RNA-seq data |
|
12 |
SFF converter |
|
|
1 |
Sffinfo |
Summarize the quality of sequences |
|
5 |
Shasta |
De novo assembly of long read sequencing data |
|
1 |
Shhh.flows |
Denoise flowgrams (PyroNoise algorithm) |
|
5 |
Shhh.seqs |
Denoise program (Quince SeqNoise) |
|
5 |
Shovill |
Faster SPAdes assembly of Illumina reads |
|
8 |
Show-Coords |
Parse delta file and report coordinates and other information |
Read mapping
Sequence alignment
|
5 |
showfeat |
Show features of a sequence |
|
5 |
SHtest |
Use RAxML to calculate SHtest to compare trees |
|
1 |
shuffleseq |
Shuffles a set of sequences maintaining composition |
|
5 |
SICER |
Statistical approach for the Identification of ChIP-Enriched Regions |
|
3 |
Sickle |
windowed adaptive trimming of FASTQ data |
|
4 |
sigcleave |
Reports protein signal cleavage sites |
|
5 |
SignalP 3.0 |
Find signal peptides in protein sequences |
|
4 |
Similar Sequence Remover |
Removes characters in a sequence |
|
1 |
SINA |
reference based multiple sequence alignment |
|
5 |
sirna |
Finds siRNA duplexes in mRNA |
|
5 |
sixpack |
Display a DNA sequence with 6-frame translation and ORFs |
|
7 |
skipseq |
Reads and writes sequences, skipping first few |
|
5 |
Slamdunk |
- streamlining SLAM-seq analysis with ultra-high sensitivity |
|
6 |
Slice |
BAM by genomic regions |
|
5 |
Slice VCF |
to get data from selected regions |
|
1 |
SMAP compare (BETA) |
|
|
1 |
SMAP delineate (BETA) |
|
|
1 |
SMAP haplotype-sites (BETA) |
|
|
1 |
SMAP-design |
|
|
1 |
SMAP-selector |
|
|
1 |
smi-to-mol |
converter |
|
2 |
smi-to-smi |
converter |
|
2 |
SMILES to CML |
|
|
2 |
SMILES to InChI |
|
|
2 |
SMILES to MOL2 |
|
|
2 |
SMILES to SDF |
|
|
2 |
sniffles |
Structural variation caller using third generation sequencing |
|
1 |
snippy |
Snippy finds SNPs between a haploid reference genome and your NGS sequence reads. |
|
11 |
snippy-clean_full_aln |
Replace any non-standard sequence characters in snippy 'core.full.aln' file. |
|
4 |
snippy-core |
Combine multiple Snippy outputs into a core SNP alignment |
|
10 |
SNP distance matrix |
Compute distance in SNPs between all sequences in a FASTA file |
|
2 |
SnpEff build: |
database from Genbank or GFF record |
|
13 |
SnpEff chromosome-info: |
list chromosome names/lengths |
|
8 |
SnpEff databases: |
list available databases |
|
13 |
SnpEff download: |
download a pre-built database |
|
13 |
SnpEff eff: |
annotate variants |
|
11 |
SnpEff eff: |
annotate variants for SARS-CoV-2 |
|
1 |
snpFreq |
significant SNPs in case-control data |
|
2 |
SnpSift Annotate |
SNPs from dbSnp |
|
9 |
SnpSift CaseControl |
Count samples are in 'case' and 'control' groups. |
|
9 |
SnpSift Extract Fields |
from a VCF file into a tabular file |
|
7 |
SnpSift Filter |
Filter variants using arbitrary expressions |
|
9 |
SnpSift GeneSets |
Annotating GeneSets, such as Gene Ontology, KEGG, Reactome |
|
4 |
SnpSift Intervals |
Filter variants using intervals |
|
9 |
SnpSift rmInfo |
remove INFO field annotations |
|
8 |
SnpSift Variant Type |
Annotate with variant type |
|
8 |
SnpSift vcfCheck |
basic checks for VCF specification compliance |
|
8 |
socru |
Calculate the order and orientation of complete bacterial genomes |
|
1 |
Sort |
data in ascending or descending order |
Sorting
|
3 |
Sort |
data in ascending or descending order |
|
11 |
Sort a row |
according to their columns |
|
12 |
Sort assembly |
|
|
5 |
Sort Column Order |
by heading |
|
1 |
Sort.seqs |
put sequences in different files in the same order |
|
6 |
SortSam |
sort SAM/BAM dataset |
|
14 |
SPAdes |
genome assembler for genomes of regular and single-cell projects |
Genome assembly
|
16 |
Spaln: align cDNA or Protein to genome |
Maps and aligns a set of cDNA or protein sequences onto a whole genomic sequence. |
|
5 |
Sparse Matrix Functions |
for manipulating 2-D Scipy sparse numeric data |
|
11 |
Split |
BAM datasets on variety of attributes |
|
3 |
Split |
BAM datasets on variety of attributes |
|
3 |
Split |
a HUMAnN2 generated table |
|
4 |
Split Dataset |
into training and test subsets |
|
6 |
Split file |
to dataset collection |
|
7 |
Split MAF blocks |
by Species |
|
1 |
Split objects |
Split binary image by using watershed |
|
1 |
Split stratified table |
|
|
3 |
Split.abund |
Separate sequences into rare and abundant groups |
|
5 |
Split.groups |
Generates a fasta file for each group |
|
5 |
splitter |
Split a sequence into (overlapping) smaller sequences |
|
5 |
SpyBOAT |
wavelet analyzes image stacks |
|
2 |
SQLite to tabular |
for SQL query |
|
3 |
Stacking Ensembles |
builds stacking, voting ensemble models with numerous base options |
|
8 |
Stacks: assemble read pairs by locus |
run the STACKS sort_read_pairs.pl and exec_velvet.pl wrappers |
|
6 |
Stacks: cstacks |
build a catalogue of loci |
|
5 |
Stacks: de novo map |
the Stacks pipeline without a reference genome (denovo_map.pl) |
|
5 |
Stacks: genotypes |
analyse haplotypes or genotypes in a genetic cross ('genotypes' program) |
|
5 |
Stacks: populations |
analyze a population of individual samples ('populations' program) |
|
5 |
Stacks: process radtags |
the Stacks demultiplexing script |
|
5 |
Stacks: pstacks |
find stacks from short reads mapped to a reference genome |
|
5 |
Stacks: reference map |
the Stacks pipeline with a reference genome (ref_map.pl) |
|
5 |
Stacks: rxstacks |
make corrections to genotype and haplotype calls |
|
5 |
Stacks: sstacks |
match stacks to a catalog |
|
4 |
Stacks: ustacks |
align short reads into stacks |
|
5 |
STAR-Fusion |
detect fusion genes in RNA-Seq data |
|
4 |
staramr |
Scans genome assemblies against the ResFinder, PlasmidFinder, and PointFinder databases searching for AMR genes. |
|
11 |
Starting Modules |
load images and metadata into CellProfiler (Images, Metadata, NamesAndTypes, Groups) |
|
2 |
Stitch Gene blocks |
given a set of coding exon intervals |
|
4 |
Stitch MAF blocks |
given a set of genomic intervals |
|
1 |
Stop_supp |
To analyse Ribo-seq alignments for the detection of stop codon readthrough events |
|
1 |
Strelka Germline |
small variant caller for germline variation in small cohorts |
|
2 |
Strelka Somatic |
small variant caller for somatic variation in tumor/normal sample pairs |
|
1 |
StringTie |
transcript assembly and quantification |
|
17 |
StringTie merge |
transcripts |
|
11 |
Structure |
using multi-locus genotype data to investigate population structure |
|
2 |
Sub.sample |
Create a sub sample |
|
5 |
Submit consensus sequence to ENA |
|
|
1 |
Subset |
columns from a VCF dataset |
|
1 |
Subtract |
the intervals of two datasets |
Filtering
|
6 |
Subtract Whole Dataset |
from another dataset |
|
2 |
Summarize taxonomy |
|
|
1 |
Summary Statistics |
for any numerical column |
|
3 |
Summary.qual |
Summarize the quality scores |
|
6 |
Summary.seqs |
Summarize the quality of sequences |
|
5 |
Summary.shared |
Summary of calculator values for OTUs |
|
5 |
Summary.single |
Summary of calculator values for OTUs |
|
6 |
Summary.tax |
Assign sequences to taxonomy |
|
5 |
supermatcher |
Match large sequences against one or more other sequences |
|
5 |
Support vector machines (SVMs) |
for classification |
|
12 |
syco |
Synonymous codon usage Gribskov statistic plot |
|
5 |
T Test for Two Samples |
|
|
2 |
tab2trees |
Create pdf of phylogeny graphics from table of tree names and newick trees |
|
1 |
Table Compute |
computes operations on table data |
|
4 |
Tabular to CSV |
|
|
1 |
Tabular to FASTQ |
converter |
Conversion
|
5 |
tabular-to-csv |
converter |
|
1 |
Tabular-to-FASTA |
converts tabular file to FASTA format |
|
2 |
tac |
reverse a file (reverse cat) |
|
9 |
Tag pileup frequency |
|
|
3 |
Tagdust |
TagDust - A program to eliminate artifactual reads from next-generation sequencing data sets. |
|
1 |
tar-to-directory |
converter |
|
2 |
Taxonomy-to-Krona |
convert a mothur taxonomy file to Krona input format |
|
2 |
Taylor-Butina clustering |
of molecular fingerprints |
|
5 |
TB Variant Filter |
M. tuberculosis H37Rv VCF filter |
|
4 |
TB Variant Report |
- generate HTML report from SnpEff annotated M.tb VCF(s) |
|
3 |
TB-Profiler Profile |
Infer strain types and drug resistance markers from sequences |
|
15 |
tcode |
Fickett TESTCODE statistic to identify protein-coding DNA |
|
5 |
TEtranscripts |
annotates reads to genes and transposable elements |
|
4 |
TETyper |
Transposable Element Typer |
|
3 |
Text reformatting |
with awk |
|
13 |
Text transformation |
with sed |
|
11 |
textsearch |
Search sequence documentation. Slow, use SRS and Entrez! |
|
5 |
Thinning_trees |
Sub-sample trees from from a posterior distribution |
|
1 |
tmap |
Displays membrane spanning regions |
|
5 |
TMHMM 2.0 |
Find transmembrane domains in protein sequences |
|
5 |
tnt2table |
Converts TNT text output from Morphobank into UCSB-phylotable. |
|
1 |
TopHat |
Gapped-read mapper for RNA-seq data |
|
9 |
Tophat Fusion Post |
post-processing to identify fusion genes |
|
2 |
Train Augustus |
ab-initio gene predictor |
|
5 |
Train SNAP |
ab-initio gene predictor |
|
1 |
Train, Test and Evaluation |
fit a model using part of dataset and evaluate using the rest |
|
7 |
tranalign |
Align nucleic coding regions given the aligned proteins |
|
5 |
Transcript Integrity Number |
evaluates RNA integrity at a transcript level |
|
8 |
TransDecoder |
finds coding regions within transcripts |
|
7 |
transeq |
Translate nucleic acid sequences |
|
5 |
Translate |
Runs Translate |
|
1 |
Translate BED transcripts |
cDNA in 3frames or CDS |
|
1 |
Transpose |
rows/columns in a tabular file |
|
5 |
TransTermHP |
finds rho-independent transcription terminators in bacterial genomes |
|
2 |
Tree.shared |
Generate a newick tree for dissimilarity among groups |
|
5 |
tree_support |
Calculates support for nodes of a single tree (bootstrap) using a file of multiple trees |
|
1 |
TreeVector |
Draw a Phylogenic Tree |
|
1 |
Trim |
leading or trailing characters |
|
2 |
Trim Galore! |
Quality and adapter trimmer of reads |
|
9 |
Trim sequences |
|
|
5 |
Trim.flows |
partition by barcode, trim to length, cull by length and mismatches |
|
5 |
Trim.seqs |
Trim sequences - primers, barcodes, quality |
|
5 |
trimAl: a tool for automated alignment trimming |
|
|
1 |
trimest |
Trim poly-A tails off EST sequences |
|
5 |
Trimmomatic |
flexible read trimming tool for Illumina NGS data |
Sequence trimming
|
15 |
trimseq |
Trim ambiguous bits off the ends of sequences |
|
5 |
Trinity |
de novo assembly of RNA-Seq data |
|
14 |
Trinotate |
functional transcript annotation |
|
4 |
Triplet Periodicity |
(Step 2) Plot triplet periodicity for different read lengths. |
|
1 |
twoBitToFa |
Convert all or part of .2bit file to FASTA |
|
3 |
twofeat |
Finds neighbouring pairs of features in sequences |
|
5 |
tximport |
Summarize transcript-level estimates for gene-level analysis |
|
3 |
UCSB Hamster |
UCSB Hamster is a Galaxy port for the Hamster script which finds orthologs based on HMM's. |
|
1 |
UMI-tools count |
performs quantification of UMIs from BAM files |
|
9 |
UMI-tools deduplicate |
Extract UMI from fastq files |
|
6 |
UMI-tools extract |
Extract UMI from fastq files |
|
12 |
Unfold |
columns from a table |
|
11 |
unifrac.unweighted |
Describes whether two or more communities have the same structure |
|
5 |
unifrac.weighted |
Describes whether two or more communities have the same structure |
|
5 |
union |
Reads sequence fragments and builds one sequence |
|
5 |
Unipept |
retrieve taxonomy for peptides |
|
6 |
UniProt |
ID mapping and retrieval |
|
4 |
Unique |
occurrences of each record |
|
9 |
Unique |
occurrences of each record |
|
1 |
Unique lines |
assuming sorted input file |
|
11 |
Unique.seqs |
Return unique sequences |
|
5 |
Univariate |
Univariate statistics |
|
2 |
Unpack pathway abundances to show genes included |
|
|
3 |
Unzip |
Unzip file |
|
1 |
Upload File |
from your computer |
Query and retrieval
|
3 |
UpSet diagram |
of intersection of genomic regions or list sets |
|
4 |
VALET |
to detect mis-assemblies in metagenomic assemblies |
|
1 |
ValidateSamFile |
assess validity of SAM/BAM dataset |
|
15 |
VarDict |
calls SNVs and indels for tumor-normal pairs |
|
4 |
Variant Annotator |
process variant counts |
|
3 |
VarScan copynumber |
Determine relative tumor copy number from tumor-normal pileups |
|
4 |
VarScan mpileup |
for variant detection |
|
4 |
VarScan somatic |
Call germline/somatic and LOH variants from tumor-normal sample pairs |
|
9 |
VCF to MAF Custom Track |
for display at UCSC |
|
2 |
VCF to pgSnp |
Convert from VCF to pgSnp format |
|
1 |
VCF-BEDintersect: |
Intersect VCF and BED datasets |
|
5 |
VCF-VCFintersect: |
Intersect two VCF datasets |
|
5 |
VCFaddinfo: |
Adds info fields from the second dataset which are not present in the first dataset |
|
5 |
VcfAllelicPrimitives: |
Split alleleic primitives (gaps or mismatches) into multiple VCF lines |
|
5 |
vcfanno |
VCF annotation |
|
2 |
VCFannotate: |
Intersect VCF records with BED annotations |
|
5 |
VCFannotateGenotypes: |
Annotate genotypes in a VCF dataset using genotypes from another VCF dataset |
|
5 |
VCFbreakCreateMulti: |
Break multiple alleles into multiple records, or combine overallpoing alleles into a single record |
|
5 |
VCFcheck: |
Verify that the reference allele matches the reference genome |
|
5 |
VCFcombine: |
Combine multiple VCF datasets |
|
6 |
VCFcommonSamples: |
Output records belonging to samples common between two datasets |
|
5 |
VCFdistance: |
Calculate distance to the nearest variant |
|
5 |
VCFfilter: |
filter VCF data in a variety of attributes |
|
8 |
VCFfixup: |
Count the allele frequencies across alleles present in each record in the VCF file |
|
5 |
VCFflatten: |
Removes multi-allelic sites by picking the most common alternate |
|
5 |
VCFgenotype-to-haplotype: |
Convert genotype-based phased alleles into haplotype alleles |
|
5 |
VCFgenotypes: |
Convert numerical representation of genotypes to allelic |
|
5 |
VCFhetHomAlleles: |
Count the number of heterozygotes and alleles, compute het/hom ratio |
|
5 |
VCFleftAlign: |
Left-align indels and complex variants in VCF dataset |
|
5 |
VCFprimers: |
Extract flanking sequences for each VCF record |
|
5 |
VCFrandomSample: |
Randomly sample sites from VCF dataset |
|
5 |
VCFselectsamples: |
Select samples from a VCF dataset |
|
5 |
VCFsort: |
Sort VCF dataset by coordinate |
|
6 |
VCFtoTab-delimited: |
Convert VCF data into TAB-delimited format |
|
6 |
vectorstrip |
Strips out DNA between a pair of vector sequences |
|
5 |
Vegan Diversity |
index |
|
3 |
Vegan Fisher Alpha |
index |
|
3 |
Vegan Rarefaction |
curve and statistics |
|
3 |
velvetg |
Velvet sequence assembler for very short reads |
De-novo assembly
Formatting
|
6 |
velveth |
Prepare a dataset for the Velvet velvetg Assembler |
De-novo assembly
Formatting
|
6 |
VelvetOptimiser |
Automatically optimize Velvet assemblies |
|
5 |
Venn |
Generate Venn diagrams for groups |
|
5 |
Venn diagram |
[JVenn] |
|
4 |
vert_tree_format |
Convert between phylogenetic tree file formats |
|
1 |
vg convert |
|
|
1 |
vg deconstruct |
construct a dynamic succinct variation graph |
|
2 |
vg view |
|
|
2 |
Violin plot w ggplot2 |
|
|
8 |
Visualize |
the optimal scoring subnetwork |
|
2 |
Visualize with Krona |
Visualise any hierarchical data |
|
1 |
Volcano Plot |
create a volcano plot |
Visualisation
|
5 |
VSearch alignment |
|
Chimera detection
Sequence clustering
Sequence masking
|
6 |
VSearch chimera detection |
|
Chimera detection
Sequence clustering
Sequence masking
|
6 |
VSearch clustering |
|
Chimera detection
Sequence clustering
Sequence masking
|
7 |
VSearch dereplication |
|
Chimera detection
Sequence clustering
Sequence masking
|
7 |
VSearch masking |
|
Chimera detection
Sequence clustering
Sequence masking
|
6 |
VSearch search |
|
Chimera detection
Sequence clustering
Sequence masking
|
6 |
VSearch shuffling |
|
Chimera detection
Sequence clustering
Sequence masking
|
6 |
VSearch sorting |
|
Chimera detection
Sequence clustering
Sequence masking
|
7 |
VT normalize |
normalizes variants in a VCF file |
|
1 |
water |
Smith-Waterman local alignment |
|
5 |
Wavelet variance |
using Discrete Wavelet Transfoms |
|
3 |
Wig/BedGraph-to-bigWig |
converter |
|
2 |
Wiggle to Interval |
|
|
2 |
Wiggle-to-Interval |
converter |
|
2 |
wobble |
Wobble base plot |
|
5 |
WoLF PSORT |
Eukaryote protein subcellular localization prediction |
|
4 |
wordcount |
Counts words of a specified size in a DNA sequence |
|
5 |
wordmatch |
Finds all exact matches of a given size between 2 sequences |
|
5 |
xcms adjustRtime (retcor) |
Retention Time Correction |
|
7 |
xcms findChromPeaks (xcmsSet) |
Chromatographic peak detection |
|
8 |
xcms findChromPeaks Merger |
Merge xcms findChromPeaks RData into a unique file to be used by group |
|
5 |
xcms groupChromPeaks (group) |
Perform the correspondence, the grouping of chromatographic peaks within and between samples. |
|
8 |
xcms plot chromatogram |
Plots base peak intensity chromatogram (BPI) and total ion current chromatogram (TIC) from MSnbase or xcms experiment(s) |
|
5 |
XPath |
compute xpath expressions on XML data |
|
2 |
XTandemAdapter |
Annotates MS/MS spectra using X! Tandem. |
|
5 |
zerone |
|
|
1 |