Available Modules

Modules are the building stones of all DSL2 nf-core blocks. You can find more info from nf-core website, if you would like to write your own module.

  • metagenomics 12
  • fasta 5
  • classification 5
  • database 4
  • variants 4
  • abundance 4
  • genomics 3
  • fastq 3
  • assembly 3
  • differential 3
  • kallisto 3
  • bracken 3
  • wastewater 3
  • index 2
  • merge 2
  • rnaseq 2
  • mags 2
  • table 2
  • transcript 2
  • kraken2 2
  • pseudoalignment 2
  • profiles 2
  • deconvolution 2
  • bam 1
  • sort 1
  • sam 1
  • filter 1
  • bacteria 1
  • coverage 1
  • quality control 1
  • gtf 1
  • download 1
  • nanopore 1
  • classify 1
  • k-mer 1
  • taxonomic profiling 1
  • binning 1
  • long reads 1
  • contigs 1
  • build 1
  • reporting 1
  • taxonomic classification 1
  • mapping 1
  • filtering 1
  • matrix 1
  • plot 1
  • expression 1
  • cluster 1
  • gene 1
  • population genetics 1
  • reads 1
  • vsearch 1
  • mirna 1
  • riboseq 1
  • de novo assembly 1
  • quantification 1
  • amplicon sequences 1
  • khmer 1
  • salmon 1
  • smrnaseq 1
  • metagenomic 1
  • deseq2 1
  • rna-seq 1
  • vsearch/sort 1
  • postprocessing 1
  • taxonomic composition 1
  • 16S 1
  • translation 1
  • maxbin2 1
  • metagenome-assembled genomes 1
  • metaphlan 1
  • UShER 1
  • bootstrapping 1
  • kallisto/index 1
  • quant 1
  • na 1
  • shinyngs 1
  • vcf 0
  • genome 0
  • alignment 0
  • reference 0
  • bed 0
  • gatk4 0
  • cram 0
  • annotation 0
  • structural variants 0
  • variant calling 0
  • align 0
  • gff 0
  • map 0
  • statistics 0
  • qc 0
  • cnv 0
  • split 0
  • MSA 0
  • variant 0
  • contamination 0
  • taxonomy 0
  • gfa 0
  • pacbio 0
  • sentieon 0
  • somatic 0
  • conversion 0
  • convert 0
  • proteomics 0
  • count 0
  • clustering 0
  • quality 0
  • ancient DNA 0
  • VCF 0
  • single-cell 0
  • copy number 0
  • imputation 0
  • phylogeny 0
  • trimming 0
  • bedtools 0
  • graph 0
  • kmer 0
  • bisulfite 0
  • bcftools 0
  • sv 0
  • gvcf 0
  • variation graph 0
  • isoseq 0
  • methylation 0
  • indexing 0
  • visualisation 0
  • databases 0
  • wgs 0
  • QC 0
  • bisulphite 0
  • methylseq 0
  • picard 0
  • compression 0
  • protein 0
  • bqsr 0
  • long-read 0
  • illumina 0
  • cna 0
  • consensus 0
  • stats 0
  • tsv 0
  • serotype 0
  • phage 0
  • sequences 0
  • imaging 0
  • 5mC 0
  • metrics 0
  • demultiplex 0
  • depth 0
  • openms 0
  • antimicrobial resistance 0
  • samtools 0
  • markduplicates 0
  • base quality score recalibration 0
  • protein sequence 0
  • repeat 0
  • histogram 0
  • searching 0
  • scWGBS 0
  • pairs 0
  • bins 0
  • DNA methylation 0
  • WGBS 0
  • haplotype 0
  • example 0
  • structure 0
  • pangenome graph 0
  • aDNA 0
  • neural network 0
  • amr 0
  • bisulfite sequencing 0
  • mappability 0
  • transcriptome 0
  • aligner 0
  • LAST 0
  • completeness 0
  • bwa 0
  • archaeogenomics 0
  • plink2 0
  • low-coverage 0
  • machine learning 0
  • genotype 0
  • bcf 0
  • seqkit 0
  • cooler 0
  • damage 0
  • phasing 0
  • palaeogenomics 0
  • gzip 0
  • germline 0
  • iCLIP 0
  • annotate 0
  • virus 0
  • sequence 0
  • validation 0
  • mmseqs2 0
  • metagenome 0
  • checkm 0
  • db 0
  • biscuit 0
  • decompression 0
  • ncbi 0
  • hmmer 0
  • ucsc 0
  • complexity 0
  • gff3 0
  • feature 0
  • spatial 0
  • newick 0
  • umi 0
  • genotyping 0
  • peaks 0
  • mag 0
  • segmentation 0
  • evaluation 0
  • msa 0
  • blast 0
  • bismark 0
  • mkref 0
  • glimpse 0
  • hmmsearch 0
  • dedup 0
  • sketch 0
  • splicing 0
  • prokaryote 0
  • report 0
  • deduplication 0
  • antimicrobial resistance genes 0
  • cnvkit 0
  • tumor-only 0
  • pangenome 0
  • duplicates 0
  • single 0
  • demultiplexing 0
  • low frequency variant calling 0
  • bedGraph 0
  • plasmid 0
  • mitochondria 0
  • scRNA-seq 0
  • json 0
  • snp 0
  • kmers 0
  • prediction 0
  • short-read 0
  • NCBI 0
  • csv 0
  • multiple sequence alignment 0
  • extract 0
  • antimicrobial peptides 0
  • profile 0
  • ont 0
  • mem 0
  • ptr 0
  • diversity 0
  • cat 0
  • call 0
  • antibiotic resistance 0
  • clipping 0
  • sourmash 0
  • benchmark 0
  • MAF 0
  • 3-letter genome 0
  • wxs 0
  • counts 0
  • structural 0
  • concatenate 0
  • coptr 0
  • svtk 0
  • indels 0
  • isolates 0
  • mutect2 0
  • visualization 0
  • detection 0
  • fastx 0
  • mpileup 0
  • view 0
  • gridss 0
  • adapters 0
  • compare 0
  • distance 0
  • amps 0
  • query 0
  • deamination 0
  • profiling 0
  • de novo 0
  • FASTQ 0
  • text 0
  • microbiome 0
  • fragment 0
  • summary 0
  • interval 0
  • single cell 0
  • merging 0
  • tabular 0
  • reference-free 0
  • idXML 0
  • arg 0
  • containment 0
  • transcriptomics 0
  • snps 0
  • sample 0
  • sequencing 0
  • umitools 0
  • HMM 0
  • gsea 0
  • microarray 0
  • pypgx 0
  • isomir 0
  • miscoding lesions 0
  • compress 0
  • palaeogenetics 0
  • archaeogenetics 0
  • bgzip 0
  • hic 0
  • deep learning 0
  • haplotypecaller 0
  • cut 0
  • resistance 0
  • ATAC-seq 0
  • rna 0
  • read depth 0
  • interval_list 0
  • bin 0
  • preprocessing 0
  • ccs 0
  • bigwig 0
  • dna 0
  • fungi 0
  • CLIP 0
  • diamond 0
  • circrna 0
  • DNA sequencing 0
  • biosynthetic gene cluster 0
  • mtDNA 0
  • ampir 0
  • family 0
  • bedgraph 0
  • chunk 0
  • happy 0
  • targeted sequencing 0
  • ranking 0
  • logratio 0
  • propr 0
  • fgbio 0
  • ancestry 0
  • chromosome 0
  • normalization 0
  • peak-calling 0
  • matching 0
  • fai 0
  • malt 0
  • bedpe 0
  • ngscheckmate 0
  • genome assembler 0
  • enrichment 0
  • ganon 0
  • redundancy 0
  • paf 0
  • skani 0
  • add 0
  • telomere 0
  • retrotransposon 0
  • microsatellite 0
  • union 0
  • DNA sequence 0
  • genmod 0
  • phylogenetic placement 0
  • clean 0
  • public datasets 0
  • xeniumranger 0
  • BGC 0
  • parsing 0
  • image 0
  • STR 0
  • bcl2fastq 0
  • hmmcopy 0
  • HiFi 0
  • hybrid capture sequencing 0
  • SV 0
  • copy number alteration calling 0
  • subsample 0
  • indel 0
  • DRAMP 0
  • deeparg 0
  • genome mining 0
  • mlst 0
  • arriba 0
  • html 0
  • panel 0
  • das_tool 0
  • prokka 0
  • small indels 0
  • C to T 0
  • fusion 0
  • typing 0
  • das tool 0
  • SNP 0
  • polishing 0
  • entrez 0
  • insert 0
  • rsem 0
  • regions 0
  • bim 0
  • replace 0
  • fam 0
  • fastk 0
  • PCA 0
  • fingerprint 0
  • fcs-gx 0
  • spark 0
  • structural_variants 0
  • benchmarking 0
  • macrel 0
  • dictionary 0
  • amplify 0
  • UMI 0
  • neubi 0
  • lineage 0
  • RNA-seq 0
  • eukaryotes 0
  • bacterial 0
  • duplication 0
  • pangolin 0
  • genomes 0
  • covid 0
  • pan-genome 0
  • pairsam 0
  • prokaryotes 0
  • angsd 0
  • scores 0
  • reports 0
  • krona 0
  • mkfastq 0
  • aln 0
  • bwameth 0
  • mapper 0
  • npz 0
  • windowmasker 0
  • hi-c 0
  • bakta 0
  • vrhyme 0
  • nucleotide 0
  • highly_multiplexed_imaging 0
  • mcmicro 0
  • host 0
  • image_analysis 0
  • seqtk 0
  • archiving 0
  • gene expression 0
  • zip 0
  • unzip 0
  • uncompress 0
  • untar 0
  • mask 0
  • kraken 0
  • RNA 0
  • proteome 0
  • guide tree 0
  • microbes 0
  • somatic variants 0
  • transposons 0
  • complement 0
  • roh 0
  • transcripts 0
  • organelle 0
  • remove 0
  • converter 0
  • intervals 0
  • genome assembly 0
  • gatk4spark 0
  • mzml 0
  • chimeras 0
  • PacBio 0
  • comparisons 0
  • combine 0
  • comparison 0
  • quality trimming 0
  • score 0
  • adapter trimming 0
  • popscle 0
  • pileup 0
  • genotype-based deconvoltion 0
  • bamtools 0
  • variant_calling 0
  • rna_structure 0
  • cellranger 0
  • hidden Markov model 0
  • sylph 0
  • spaceranger 0
  • amplicon sequencing 0
  • notebook 0
  • informative sites 0
  • kinship 0
  • identity 0
  • relatedness 0
  • virulence 0
  • cut up 0
  • miRNA 0
  • tabix 0
  • cool 0
  • krona chart 0
  • dist 0
  • dump 0
  • lossless 0
  • observations 0
  • shapeit 0
  • CRISPR 0
  • prefetch 0
  • survivor 0
  • ataqv 0
  • repeat expansion 0
  • ambient RNA removal 0
  • long_read 0
  • minimap2 0
  • checkv 0
  • uLTRA 0
  • atac-seq 0
  • chip-seq 0
  • png 0
  • cfDNA 0
  • wig 0
  • population genomics 0
  • ligate 0
  • gene set analysis 0
  • megan 0
  • nacho 0
  • mash 0
  • pigz 0
  • lofreq 0
  • gene set 0
  • hla_typing 0
  • bustools 0
  • gstama 0
  • resolve_bioscience 0
  • spatial_transcriptomics 0
  • checksum 0
  • maximum likelihood 0
  • screen 0
  • krakentools 0
  • phase 0
  • haplotypes 0
  • iphop 0
  • krakenuniq 0
  • assembly evaluation 0
  • trancriptome 0
  • tama 0
  • polyA_tail 0
  • hlala_typing 0
  • k-mer frequency 0
  • corrupted 0
  • reformat 0
  • GC content 0
  • tree 0
  • minhash 0
  • nanostring 0
  • barcode 0
  • mapcounter 0
  • pair 0
  • instrain 0
  • haplogroups 0
  • mRNA 0
  • find 0
  • refine 0
  • hlala 0
  • ichorcna 0
  • primer 0
  • serogroup 0
  • interactive 0
  • hla 0
  • long terminal repeat 0
  • split_kmers 0
  • WGS 0
  • regression 0
  • taxids 0
  • taxon name 0
  • zlib 0
  • differential expression 0
  • variation 0
  • vg 0
  • vcflib 0
  • ampgram 0
  • amptransformer 0
  • orthologs 0
  • cgMLST 0
  • dereplicate 0
  • image_processing 0
  • taxon tables 0
  • otu tables 0
  • standardisation 0
  • standardise 0
  • standardization 0
  • repeats 0
  • svdb 0
  • ome-tif 0
  • de novo assembler 0
  • small genome 0
  • MCMICRO 0
  • signature 0
  • FracMinHash sketch 0
  • mirdeep2 0
  • interactions 0
  • functional analysis 0
  • cancer genomics 0
  • reformatting 0
  • function 0
  • pharokka 0
  • bloom filter 0
  • k-mer index 0
  • COBS 0
  • archive 0
  • xz 0
  • mudskipper 0
  • long terminal retrotransposon 0
  • transcriptomic 0
  • kma 0
  • parallelized 0
  • orthology 0
  • rrna 0
  • genetics 0
  • tnhaplotyper2 0
  • rgfa 0
  • small variants 0
  • multiallelic 0
  • nucleotides 0
  • cnvnator 0
  • proportionality 0
  • mitochondrion 0
  • orf 0
  • leviosam2 0
  • lift 0
  • metamaps 0
  • registration 0
  • join 0
  • RNA sequencing 0
  • trgt 0
  • GPU-accelerated 0
  • purge duplications 0
  • library 0
  • preseq 0
  • adapter 0
  • import 0
  • variant pruning 0
  • doublets 0
  • bfiles 0
  • anndata 0
  • subset 0
  • gene labels 0
  • read-group 0
  • ped 0
  • hostile 0
  • Read depth 0
  • decontamination 0
  • graph layout 0
  • human removal 0
  • screening 0
  • nextclade 0
  • removal 0
  • msisensor-pro 0
  • micro-satellite-scan 0
  • cleaning 0
  • tumor 0
  • msi 0
  • instability 0
  • MSI 0
  • homoploymer 0
  • Duplication purging 0
  • duplicate 0
  • snpsift 0
  • Pharmacogenetics 0
  • snpeff 0
  • effect prediction 0
  • shigella 0
  • switch 0
  • ancient dna 0
  • Streptococcus pneumoniae 0
  • sequenzautils 0
  • transformation 0
  • rename 0
  • salmonella 0
  • varcal 0
  • fusions 0
  • soft-clipped clusters 0
  • fixmate 0
  • contig 0
  • retrotransposons 0
  • dict 0
  • collate 0
  • bam2fq 0
  • frame-shift correction 0
  • long-read sequencing 0
  • scaffolding 0
  • rtgtools 0
  • sequence analysis 0
  • junctions 0
  • pharmacogenetics 0
  • runs_of_homozygosity 0
  • polish 0
  • scaffold 0
  • taxonomic profile 0
  • SimpleAF 0
  • concordance 0
  • duplex 0
  • bayesian 0
  • merge mate pairs 0
  • reads merging 0
  • short reads 0
  • unaligned 0
  • xenograft 0
  • UMIs 0
  • fetch 0
  • realignment 0
  • GEO 0
  • trim 0
  • identifier 0
  • microscopy 0
  • expansionhunterdenovo 0
  • repeat_expansions 0
  • metadata 0
  • tab 0
  • microbial 0
  • allele-specific 0
  • concat 0
  • panelofnormals 0
  • MaltExtract 0
  • gatk 0
  • HOPS 0
  • joint genotyping 0
  • authentication 0
  • edit distance 0
  • secondary metabolites 0
  • NRPS 0
  • RiPP 0
  • demultiplexed reads 0
  • evidence 0
  • antibiotics 0
  • antismash 0
  • filtermutectcalls 0
  • RNA-Seq 0
  • simulate 0
  • artic 0
  • interval list 0
  • aggregate 0
  • emboss 0
  • tbi 0
  • gwas 0
  • CNV 0
  • sra-tools 0
  • settings 0
  • BAM 0
  • blastn 0
  • version 0
  • correction 0
  • calling 0
  • cnv calling 0
  • immunoprofiling 0
  • awk 0
  • cvnkit 0
  • estimation 0
  • vdj 0
  • single cells 0
  • recombination 0
  • eCLIP 0
  • splice 0
  • parse 0
  • genome bins 0
  • fasterq-dump 0
  • structural-variant calling 0
  • intersect 0
  • blastp 0
  • normalize 0
  • norm 0
  • eigenstrat 0
  • scatter 0
  • reheader 0
  • validate 0
  • samplesheet 0
  • format 0
  • eido 0
  • metagenomes 0
  • intersection 0
  • windows 0
  • heatmap 0
  • region 0
  • sizes 0
  • spatial_omics 0
  • bases 0
  • random forest 0
  • allele 0
  • graft 0
  • ChIP-seq 0
  • gem 0
  • genomad 0
  • baf 0
  • vector 0
  • f coefficient 0
  • homozygous genotypes 0
  • jaccard 0
  • heterozygous genotypes 0
  • overlap 0
  • inbreeding 0
  • array_cgh 0
  • cytosure 0
  • getfasta 0
  • run 0
  • tnfilter 0
  • gost 0
  • genomecov 0
  • closest 0
  • rad 0
  • bamtobed 0
  • sorting 0
  • structural variant 0
  • bam2fastx 0
  • bam2fastq 0
  • immcantation 0
  • airrseq 0
  • immunoinformatics 0
  • gprofiler2 0
  • derived alleles 0
  • homology 0
  • genome graph 0
  • unionBedGraphs 0
  • reverse complement 0
  • simulation 0
  • hmmfetch 0
  • decompose 0
  • subtract 0
  • slopBed 0
  • transmembrane 0
  • vcf file 0
  • bgen file 0
  • plink2_pca 0
  • pca 0
  • tnseq 0
  • ancestral alleles 0
  • pruning 0
  • decoy 0
  • linkage equilibrium 0
  • htseq 0
  • shiftBed 0
  • multinterval 0
  • sompy 0
  • overlapped bed 0
  • maskfasta 0
  • peak picking 0
  • chunking 0
  • site frequency spectrum 0
  • co-orthology 0
  • spectral clustering 0
  • sequence similarity 0
  • python 0
  • plastid 0
  • smaller fastqs 0
  • resfinder 0
  • resistance genes 0
  • raw 0
  • mgf 0
  • parquet 0
  • parser 0
  • dbsnp 0
  • standardize 0
  • clumping fastqs 0
  • quarto 0
  • r 0
  • deduping 0
  • coexpression 0
  • correlation 0
  • corpcor 0
  • assay 0
  • phylogenetics 0
  • minimum_evolution 0
  • distance-based 0
  • short 0
  • nucleotide sequence 0
  • intron 0
  • masking 0
  • low-complexity 0
  • uq 0
  • parallel 0
  • file manipulation 0
  • agat 0
  • comparative genomics 0
  • autozygosity 0
  • homozygosity 0
  • covariance model 0
  • deep variant 0
  • dereplication 0
  • mutect 0
  • microbial genomics 0
  • drep 0
  • idx 0
  • biallelic 0
  • update header 0
  • longest 0
  • nm 0
  • isoform 0
  • transform 0
  • gaps 0
  • introns 0
  • variancepartition 0
  • dream 0
  • install 0
  • joint-genotyping 0
  • genotypegvcf 0
  • BCF 0
  • md 0
  • csi 0
  • bioawk 0
  • Read coverage histogram 0
  • GFF/GTF 0
  • remove samples 0
  • gemini 0
  • maf 0
  • lua 0
  • toml 0
  • scanner 0
  • helitron 0
  • vcfbreakmulti 0
  • uniq 0
  • deduplicate 0
  • VCFtools 0
  • verifybamid 0
  • DNA contamination estimation 0
  • mkvdjref 0
  • subsample bam 0
  • construct 0
  • melon 0
  • graph projection to vcf 0
  • plant 0
  • cellpose 0
  • hifi 0
  • extractunbinned 0
  • linkbins 0
  • Assembly 0
  • sintax 0
  • domains 0
  • vcf2db 0
  • downsample bam 0
  • long read alignment 0
  • umicollapse 0
  • genepred 0
  • refflat 0
  • gtftogenepred 0
  • ucsc/liftover 0
  • chromap 0
  • quality assurnce 0
  • qa 0
  • metabolite annotation 0
  • metaspace 0
  • integron 0
  • mobile genetic elements 0
  • genome annotation 0
  • trna 0
  • downsample 0
  • scRNA-Seq 0
  • crispr 0
  • antibody capture 0
  • files 0
  • antigen capture 0
  • covariance models 0
  • multiomics 0
  • upd 0
  • uniparental 0
  • disomy 0
  • unmarkduplicates 0
  • snv 0
  • usearch 0
  • pangenome-scale 0
  • genotype dosages 0
  • comp 0
  • denoisereadcounts 0
  • readwriter 0
  • dnamodelapply 0
  • SINE 0
  • dnascope 0
  • tblastn 0
  • network 0
  • wget 0
  • groupby 0
  • tnscope 0
  • bgen 0
  • subtyping 0
  • bedcov 0
  • createreadcountpanelofnormals 0
  • chloroplast 0
  • genome polishing 0
  • confidence 0
  • blat 0
  • alr 0
  • clr 0
  • Salmonella enterica 0
  • boxcox 0
  • sorted 0
  • Escherichia coli 0
  • assembly polishing 0
  • propd 0
  • copyratios 0
  • all versus all 0
  • geo 0
  • mashmap 0
  • wavefront 0
  • whamg 0
  • wham 0
  • compartments 0
  • copy-number 0
  • copy number analysis 0
  • gender determination 0
  • topology 0
  • copy number alterations 0
  • copy number variation 0
  • yahs 0
  • mapad 0
  • workflow_mode 0
  • adna 0
  • c to t 0
  • calder2 0
  • proteus 0
  • readproteingroups 0
  • ploidy 0
  • eigenvectors 0
  • hicPCA 0
  • sliding 0
  • cadd 0
  • snakemake 0
  • workflow 0
  • homologs 0
  • predict 0
  • multi-tool 0
  • fastqfilter 0
  • microRNA 0
  • admixture 0
  • multiqc 0
  • mass_error 0
  • search engine 0
  • poolseq 0
  • variant-calling 0
  • stardist 0
  • telseq 0
  • vsearch/dereplicate 0
  • vsearch/fastqfilter 0
  • ATACseq 0
  • CRISPRi 0
  • shift 0
  • ATACshift 0
  • http(s) 0
  • utility 0
  • setgt 0
  • jvarkit 0
  • translate 0
  • tar 0
  • tarball 0
  • targz 0
  • HLA 0
  • mzML 0
  • adapterremoval 0
  • bclconvert 0
  • rank 0
  • antimicrobial reistance 0
  • drug categorization 0
  • ATLAS 0
  • uniques 0
  • Illumina 0
  • functional 0
  • impute-info 0
  • phylogenies 0
  • tags 0
  • tag2tag 0
  • sequencing_bias 0
  • hashing-based deconvolution 0
  • java 0
  • hhsuite 0
  • script 0
  • post mortem damage 0
  • hmmscan 0
  • xml 0
  • svg 0
  • standard 0
  • haplotag 0
  • atlas 0
  • staging 0
  • mkarv 0
  • Staging 0
  • hmmpress 0
  • prepare 0
  • nucBed 0
  • Read trimming 0
  • plotting 0
  • post Post-processing 0
  • patterns 0
  • regex 0
  • paired reads re-pairing 0
  • fix 0
  • metagenome assembler 0
  • malformed 0
  • partitioning 0
  • model 0
  • scanpy 0
  • AMPs 0
  • antimicrobial peptide prediction 0
  • regtools 0
  • resegment 0
  • leafcutter 0
  • amp 0
  • chip 0
  • recovery 0
  • mgi 0
  • Staphylococcus aureus 0
  • affy 0
  • updatedata 0
  • reference panels 0
  • identity-by-descent 0
  • decomposeblocksub 0
  • block substitutions 0
  • morphology 0
  • nuclear contamination estimate 0
  • AT content 0
  • installation 0
  • nucleotide content 0
  • elfasta 0
  • elprep 0
  • catpack 0
  • Computational Immunology 0
  • controlstatistics 0
  • source tracking 0
  • emoji 0
  • Bioinformatics Tools 0
  • quality_control 0
  • Immune Deconvolution 0
  • doublet 0
  • doublet_detection 0
  • relabel 0
  • barcodes 0
  • doCounts 0
  • subsetting 0
  • logFC 0
  • significance statistic 0
  • p-value 0
  • scvi 0
  • solo 0
  • import segmentation 0
  • nuclear segmentation 0
  • cell segmentation 0
  • allele counts 0
  • Read report 0
  • Read filters 0
  • pdb 0
  • pile up 0
  • structural-variants 0
  • omics 0
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  • bamtools/split 0
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  • yaml 0
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  • SNV 0
  • bigbed 0
  • Indel 0
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  • bacphlip 0
  • virulent 0
  • nanopore sequencing 0
  • rna velocity 0
  • cobra 0
  • extension 0
  • grea 0
  • Bayesian 0
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  • functional enrichment 0
  • cell_type_identification 0
  • background_correction 0
  • illumiation_correction 0
  • hardy-weinberg 0
  • hwe statistics 0
  • hwe equilibrium 0
  • reference-independent 0
  • genotype likelihood 0
  • collapse 0
  • liftover 0
  • probabilistic realignment 0
  • seqfu 0
  • n50 0
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  • associations 0
  • machine_learning 0
  • element 0
  • trimBam 0
  • bamUtil 0
  • clahe 0
  • refresh 0
  • association 0
  • GWAS 0
  • trio binning 0
  • tandem repeats 0
  • case/control 0
  • long read 0
  • temperate 0
  • nanoq 0
  • realign 0
  • ribosomal 0
  • 10x 0
  • background 0
  • single-stranded 0
  • regulatory network 0
  • ancientDNA 0
  • transcription factors 0
  • paraphase 0
  • selector 0
  • cram-size 0
  • size 0
  • quality check 0
  • circular 0
  • bwameme 0
  • spot 0
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  • sage 0
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  • junction 0
  • mass spectrometry 0
  • featuretable 0
  • extraction 0
  • read group 0
  • bias 0
  • redundant 0
  • grabix 0
  • bwamem2 0
  • paired reads merging 0
  • MMseqs2 0
  • overlap-based merging 0
  • check 0
  • lifestyle 0
  • hamming-distance 0
  • hashing-based deconvoltion 0
  • gnu 0
  • coreutils 0
  • generic 0
  • transposable element 0
  • retrieval 0
  • autofluorescence 0
  • cycif 0
  • InterProScan 0
  • guidetree 0
  • busco 0
  • droplet based single cells 0
  • impute 0
  • lexogen 0
  • genotype-based demultiplexing 0
  • donor deconvolution 0
  • cellsnp 0
  • reference compression 0
  • trimfq 0
  • vcflib/vcffixup 0
  • AC/NS/AF 0
  • Pacbio 0
  • reference panel 0
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  • detecting svs 0
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  • megahit 0
  • calibratedragstrmodel 0
  • reduced 0
  • representations 0
  • getpileupsummaries 0
  • cross-samplecontamination 0
  • mass-spectroscopy 0
  • calculatecontamination 0
  • mcr-1 0
  • MD5 0
  • 128 bit 0
  • bedtointervallist 0
  • denovo 0
  • cnnscorevariants 0
  • debruijn 0
  • asereadcounter 0
  • daa 0
  • rma6 0
  • Neisseria meningitidis 0
  • vqsr 0
  • variant quality score recalibration 0
  • 3D heat map 0
  • contour map 0
  • Merqury 0
  • annotateintervals 0
  • targets 0
  • smudgeplot 0
  • mash/sketch 0
  • taxonomic assignment 0
  • peptide prediction 0
  • determinegermlinecontigploidy 0
  • legionella 0
  • clinical 0
  • pneumophila 0
  • createsomaticpanelofnormals 0
  • limma 0
  • Listeria monocytogenes 0
  • createsequencedictionary 0
  • condensedepthevidence 0
  • lofreq/call 0
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  • qualities 0
  • AMP 0
  • dragstr 0
  • collectreadcounts 0
  • functional genomics 0
  • sgRNA 0
  • CRISPR-Cas9 0
  • maximum-likelihood 0
  • rra 0
  • composestrtablefile 0
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  • combinegvcfs 0
  • DNA damage 0
  • NGS 0
  • damage patterns 0
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  • estimate 0
  • unionsum 0
  • heattree 0
  • adapter removal 0
  • unmapped 0
  • contaminant 0
  • cancer genome 0
  • somatic structural variations 0
  • mobile element insertions 0
  • sequencing summary 0
  • NextGenMap 0
  • ngm 0
  • Neisseria gonorrhoeae 0
  • gender 0
  • zipperbams 0
  • ubam 0
  • graph construction 0
  • graph drawing 0
  • squeeze 0
  • GATK UnifiedGenotyper 0
  • odgi 0
  • combine graphs 0
  • graph stats 0
  • graph unchopping 0
  • graph formats 0
  • graph viz 0
  • tumor/normal 0
  • hla-typing 0
  • ILP 0
  • HLA-I 0
  • block-compressed 0
  • groupreads 0
  • PCR/optical duplicates 0
  • SNP table 0
  • Beautiful stand-alone HTML report 0
  • methylation bias 0
  • mosdepth 0
  • mbias 0
  • gangstr 0
  • assembler 0
  • de Bruijn 0
  • gene-calling 0
  • microrna 0
  • gamma 0
  • target prediction 0
  • mitochondrial genome 0
  • reference genome 0
  • bacterial variant calling 0
  • otu table 0
  • bioinformatics tools 0
  • germline variant calling 0
  • somatic variant calling 0
  • variant caller 0
  • rust 0
  • fq 0
  • microsatellite instability 0
  • lint 0
  • random 0
  • generate 0
  • scan 0
  • mtnucratio 0
  • ratio 0
  • single molecule 0
  • mitochondrial to nuclear ratio 0
  • collapsing 0
  • train 0
  • upper-triangular matrix 0
  • gawk 0
  • amrfinderplus 0
  • fARGene 0
  • rgi 0
  • ibd 0
  • hbd 0
  • beagle 0
  • mitochondrial 0
  • genome profile 0
  • bgc 0
  • Haemophilus influenzae 0
  • haplotype resolution 0
  • file parsing 0
  • txt 0
  • variantrecalibrator 0
  • compound 0
  • recalibration model 0
  • variantfiltration 0
  • svcluster 0
  • svannotate 0
  • gccounter 0
  • splitintervals 0
  • readcounter 0
  • splitcram 0
  • site depth 0
  • HMMER 0
  • amino acid 0
  • shiftintervals 0
  • shiftfasta 0
  • abricate 0
  • extractvariants 0
  • hmtnote 0
  • gene model 0
  • Haplotypes 0
  • Imputation 0
  • joint-variant-calling 0
  • GNU 0
  • merge compare 0
  • genomes on a tree 0
  • low coverage 0
  • gget 0
  • genome statistics 0
  • genome manipulation 0
  • genome summary 0
  • tama_collapse.py 0
  • gfastats 0
  • TAMA 0
  • extract_variants 0
  • Mykrobe 0
  • gstama/merge 0
  • Salmonella Typhi 0
  • repeat content 0
  • gstama/polyacleanup 0
  • GTDB taxonomy 0
  • genome heterozygosity 0
  • genome taxonomy database 0
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  • gunc 0
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  • models 0
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  • Hidden Markov Model 0
  • annotations 0
  • spliced 0
  • pneumoniae 0
  • learnreadorientationmodel 0
  • indexfeaturefile 0
  • readcountssummary 0
  • getpileupsumaries 0
  • germlinevariantsites 0
  • germlinecnvcaller 0
  • germline contig ploidy 0
  • digital normalization 0
  • k-mer counting 0
  • effective genome size 0
  • Klebsiella 0
  • panelofnormalscreation 0
  • papermill 0
  • kegg 0
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  • jointgenotyping 0
  • combining 0
  • genomicsdbimport 0
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  • tranche filtering 0
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  • pos 0
  • haemophilus 0
  • selectvariants 0
  • revert 0
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  • IDR 0
  • igv 0
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  • jasminesv 0
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  • Python 0
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  • interleave 0
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  • induce 0
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  • genetic sex 0
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  • relative coverage 0
  • Cores 0
  • Segmentation 0
  • rare variants 0
  • error 0
  • TMA dearray 0
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  • sha256 0
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Generally applicable transcriptome-wide analysis of translational efficiency using anota2seq

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translated_mrna total_mrna translation buffering mrna_abundance rdata fold_change_plot interaction_p_distribution_plot residual_distribution_summary_plot residual_vs_fitted_plot rvm_fit_for_all_contrasts_group_plot rvm_fit_for_interactions_plot rvm_fit_for_omnibus_group_plot simulated_vs_obt_dfbetas_without_interaction_plot session_info versions

anota2seq:

Generally applicable transcriptome-wide analysis of translational efficiency using anota2seq

Re-estimate taxonomic abundance of metagenomic samples analyzed by kraken.

010

reports txt versions

bracken:

Bracken (Bayesian Reestimation of Abundance with KrakEN) is a highly accurate statistical method that computes the abundance of species in DNA sequences from a metagenomics sample.

Extends a Kraken2 database to be compatible with Bracken

01

db bracken_files versions

bracken:

Bracken (Bayesian Reestimation of Abundance with KrakEN) is a highly accurate statistical method that computes the abundance of species in DNA sequences from a metagenomics sample.

Combine output of metagenomic samples analyzed by bracken.

01

txt versions

bracken:

Bracken (Bayesian Reestimation of Abundance with KrakEN) is a highly accurate statistical method that computes the abundance of species in DNA sequences from a metagenomics sample.

Taxonomic classification plus read-based abundance estimation from long DNA sequences and metagenome assembled genomes (e.g. contigs, MAGs / bins).

0101010101001010101010101

rat_log complete_abundance contig_abundance read2classification alignment_diamond contig2classification cat_log orf2lca faa gff unmapped_diamond unmapped_fasta unmapped2classification versions

catpack:

CAT/BAT: tool for taxonomic classification of contigs and metagenome-assembled genomes (MAGs)

Map reads to contigs and estimate coverage

010100

coverage versions

coverm:

CoverM aims to be a configurable, easy to use and fast DNA read coverage and relative abundance calculator focused on metagenomics applications

filter a matrix based on a minimum value and numbers of samples that must pass.

0101

filtered tests session_info versions

matrixfilter:

filter a matrix based on a minimum value and numbers of samples

A taxonomic profiler for metagenomic 16S data optimized for error prone long reads.

010

report assignment_report samfile unclassified_fa versions

emu:

Emu is a relative abundance estimator for 16s genomic data.

Bootstrap sample demixing by resampling each site based on a multinomial distribution of read depth across all sites, where the event probabilities were determined by the fraction of the total sample reads found at each site, followed by a secondary resampling at each site according to a multinomial distribution (that is, binomial when there was only one SNV at a site), where event probabilities were determined by the frequencies of each base at the site, and the number of trials is given by the sequencing depth.

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lineages summarized versions

freyja:

Freyja recovers relative lineage abundances from mixed SARS-CoV-2 samples and provides functionality to analyze lineage dynamics.

specify the relative abundance of each known haplotype

01200

demix versions

freyja:

Freyja recovers relative lineage abundances from mixed SARS-CoV-2 samples and provides functionality to analyze lineage dynamics.

downloads new versions of the curated SARS-CoV-2 lineage file and barcodes

0

barcodes lineages_topology lineages_meta versions

freyja:

Freyja recovers relative lineage abundances from mixed SARS-CoV-2 samples and provides functionality to analyze lineage dynamics.

call variant and sequencing depth information of the variant

010

variants versions

freyja:

Freyja recovers relative lineage abundances from mixed SARS-CoV-2 samples and provides functionality to analyze lineage dynamics.

Create kallisto index

01

index versions

kallisto:

Quantifying abundances of transcripts from bulk and single-cell RNA-Seq data, or more generally of target sequences using high-throughput sequencing reads.

Computes equivalence classes for reads and quantifies abundances

01010000

results json_info log versions

kallisto:

Quantifying abundances of transcripts from RNA-Seq data, or more generally of target sequences using high-throughput sequencing reads.

Removes low abundance k-mers from FASTA/FASTQ files

01

trimmed versions

khmer:

khmer k-mer counting library

MaxBin is a software that is capable of clustering metagenomic contigs

0123

binned_fastas summary abundance log marker_counts unbinned_fasta tooshort_fasta marker_bins marker_genes versions

Build MetaPhlAn database for taxonomic profiling.

NO input

db versions

metaphlan:

Identify clades (phyla to species) present in the metagenome obtained from a microbiome sample and their relative abundance

Merges output abundance tables from MetaPhlAn4

01

txt versions

metaphlan4:

Identify clades (phyla to species) present in the metagenome obtained from a microbiome sample and their relative abundance

MetaPhlAn is a tool for profiling the composition of microbial communities from metagenomic shotgun sequencing data.

010

profile biom bt2out versions

metaphlan:

Identify clades (phyla to species) present in the metagenome obtained from a microbiome sample and their relative abundance

Merges output abundance tables from MetaPhlAn3

01

txt versions

metaphlan3:

Identify clades (phyla to species) present in the metagenome obtained from a microbiome sample and their relative abundance

MetaPhlAn is a tool for profiling the composition of microbial communities from metagenomic shotgun sequencing data.

010

profile biom bt2out versions

metaphlan3:

Identify clades (phyla to species) present in the metagenome obtained from a microbiome sample and their relative abundance

A tool to estimate bacterial species abundance

0100

results versions

midas:

An integrated pipeline for estimating strain-level genomic variation from metagenomic data

Download the mOTUs database

0

db versions

motus:

The mOTU profiler is a computational tool that estimates relative taxonomic abundance of known and currently unknown microbial community members using metagenomic shotgun sequencing data.

Seqcluster collapse reduces computational complexity by collapsing identical sequences in a FASTQ file.

01

fastq versions

seqcluster:

Small RNA analysis from NGS data. Seqcluster generates a list of clusters of small RNA sequences, their genome location, their annotation and the abundance in all the sample of the project.

build and deploy Shiny apps for interactively mining differential abundance data

01230120

app versions

shinyngs:

Provides Shiny applications for various array and NGS applications. Currently very RNA-seq centric, with plans for expansion.

Make plots for interpretation of differential abundance statistics

010123

volcanos_png volcanos_html versions

shinyngs:

Provides Shiny applications for various array and NGS applications. Currently very RNA-seq centric, with plans for expansion.

Transcript assembly and quantification for RNA-Se

010

transcript_gtf abundance coverage_gtf ballgown versions

stringtie2:

Transcript assembly and quantification for RNA-Seq

Import transcript-level abundances and estimated counts for gene-level analysis packages

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tpm_gene counts_gene counts_gene_length_scaled counts_gene_scaled lengths_gene tpm_transcript counts_transcript lengths_transcript versions

tximeta:

Transcript Quantification Import with Automatic Metadata

Sort fasta entries by decreasing abundance (--sortbysize) or sequence length (--sortbylength).

010

fasta versions

vsearch:

VSEARCH is a versatile open-source tool for microbiome analysis, including chimera detection, clustering, dereplication and rereplication, extraction, FASTA/FASTQ/SFF file processing, masking, orienting, pair-wise alignment, restriction site cutting, searching, shuffling, sorting, subsampling, and taxonomic classification of amplicon sequences for metagenomics, genomics, and population genetics. (USEARCH alternative)

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