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.

  • variant calling 40
  • vcf 21
  • bam 18
  • VCF 12
  • variants 10
  • variant 10
  • bisulfite 8
  • methylation 7
  • bisulphite 7
  • methylseq 7
  • 5mC 7
  • neural network 7
  • machine learning 7
  • bismark 7
  • wgs 6
  • low frequency variant calling 6
  • alignment 5
  • sentieon 5
  • consensus 5
  • call 5
  • map 4
  • cnv 4
  • somatic 4
  • bcftools 4
  • germline 4
  • peak-calling 4
  • hybrid capture sequencing 4
  • copy number alteration calling 4
  • DNA sequencing 4
  • targeted sequencing 4
  • fasta 3
  • genomics 3
  • index 3
  • merge 3
  • graph 3
  • cna 3
  • 3-letter genome 3
  • read depth 3
  • haplotypecaller 3
  • indel 3
  • variant_calling 3
  • reference 2
  • sort 2
  • sam 2
  • structural variants 2
  • bacteria 2
  • qc 2
  • pacbio 2
  • single-cell 2
  • sv 2
  • filtering 2
  • report 2
  • bedGraph 2
  • wxs 2
  • mpileup 2
  • view 2
  • cellranger 2
  • observations 2
  • atac-seq 2
  • chip-seq 2
  • lofreq 2
  • vg 2
  • cnvnator 2
  • cancer genomics 2
  • nextclade 2
  • snpsift 2
  • realignment 2
  • calling 2
  • cnv calling 2
  • immunoprofiling 2
  • structural-variant calling 2
  • fastq 1
  • metagenomics 1
  • assembly 1
  • align 1
  • filter 1
  • statistics 1
  • coverage 1
  • gfa 1
  • gvcf 1
  • variation graph 1
  • long-read 1
  • stats 1
  • DNA methylation 1
  • histogram 1
  • scWGBS 1
  • WGBS 1
  • haplotype 1
  • example 1
  • pangenome graph 1
  • annotate 1
  • genotyping 1
  • population genetics 1
  • mutect2 1
  • summary 1
  • structural 1
  • query 1
  • preprocessing 1
  • dna 1
  • ATAC-seq 1
  • union 1
  • chunk 1
  • SV 1
  • structural_variants 1
  • SNP 1
  • polishing 1
  • complement 1
  • pileup 1
  • tnhaplotyper2 1
  • bayesian 1
  • microbial 1
  • concat 1
  • CNV 1
  • estimation 1
  • vdj 1
  • intersect 1
  • normalize 1
  • norm 1
  • allele 1
  • ChIP-seq 1
  • sorting 1
  • tnseq 1
  • deep variant 1
  • mutect 1
  • BCF 1
  • mkvdjref 1
  • construct 1
  • graph projection to vcf 1
  • snv 1
  • tnscope 1
  • dnascope 1
  • whamg 1
  • wham 1
  • poolseq 1
  • variant-calling 1
  • atlas 1
  • elfasta 1
  • elprep 1
  • probabilistic realignment 1
  • targets 1
  • lofreq/call 1
  • lofreq/filter 1
  • qualities 1
  • gene-calling 1
  • gamma 1
  • bacterial variant calling 1
  • germline variant calling 1
  • somatic variant calling 1
  • variant caller 1
  • joint-variant-calling 1
  • cutesv 1
  • variantcalling 1
  • chromosomal rearrangements 1
  • sniffles 1
  • core 1
  • snippy 1
  • dbnsfp 1
  • predictions 1
  • partition histograms 1
  • genetic 1
  • CoPRO 1
  • GRO-cap 1
  • PRO-cap 1
  • CAGE 1
  • NETCAGE 1
  • RAMPAGE 1
  • csRNA-seq 1
  • STRIPE-seq 1
  • PRO-seq 1
  • GRO-seq 1
  • multimapper 1
  • LCA 1
  • Ancestor 1
  • intervals coverage 1
  • split by chromosome 1
  • genomic intervals 1
  • normal database 1
  • panel of normals 1
  • genome 0
  • bed 0
  • gatk4 0
  • cram 0
  • annotation 0
  • database 0
  • gff 0
  • classification 0
  • quality control 0
  • gtf 0
  • download 0
  • nanopore 0
  • classify 0
  • split 0
  • k-mer 0
  • MSA 0
  • contamination 0
  • taxonomy 0
  • taxonomic profiling 0
  • conversion 0
  • convert 0
  • proteomics 0
  • binning 0
  • count 0
  • clustering 0
  • quality 0
  • ancient DNA 0
  • copy number 0
  • long reads 0
  • imputation 0
  • rnaseq 0
  • phylogeny 0
  • trimming 0
  • contigs 0
  • bedtools 0
  • kmer 0
  • build 0
  • mags 0
  • reporting 0
  • isoseq 0
  • indexing 0
  • visualisation 0
  • databases 0
  • QC 0
  • picard 0
  • compression 0
  • protein 0
  • bqsr 0
  • illumina 0
  • table 0
  • tsv 0
  • taxonomic classification 0
  • serotype 0
  • phage 0
  • sequences 0
  • imaging 0
  • metrics 0
  • mapping 0
  • demultiplex 0
  • depth 0
  • openms 0
  • antimicrobial resistance 0
  • markduplicates 0
  • base quality score recalibration 0
  • protein sequence 0
  • repeat 0
  • searching 0
  • pairs 0
  • bins 0
  • samtools 0
  • structure 0
  • matrix 0
  • aDNA 0
  • plot 0
  • expression 0
  • amr 0
  • cluster 0
  • bisulfite sequencing 0
  • mappability 0
  • transcriptome 0
  • aligner 0
  • LAST 0
  • completeness 0
  • bwa 0
  • archaeogenomics 0
  • plink2 0
  • low-coverage 0
  • transcript 0
  • genotype 0
  • bcf 0
  • seqkit 0
  • cooler 0
  • damage 0
  • phasing 0
  • palaeogenomics 0
  • gzip 0
  • iCLIP 0
  • virus 0
  • sequence 0
  • validation 0
  • gene 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
  • peaks 0
  • mag 0
  • segmentation 0
  • evaluation 0
  • kraken2 0
  • msa 0
  • blast 0
  • mkref 0
  • glimpse 0
  • hmmsearch 0
  • dedup 0
  • sketch 0
  • pangenome 0
  • reads 0
  • json 0
  • demultiplexing 0
  • mitochondria 0
  • cnvkit 0
  • plasmid 0
  • snp 0
  • profile 0
  • differential 0
  • multiple sequence alignment 0
  • antimicrobial peptides 0
  • prokaryote 0
  • short-read 0
  • deduplication 0
  • kmers 0
  • prediction 0
  • scRNA-seq 0
  • single 0
  • splicing 0
  • vsearch 0
  • extract 0
  • NCBI 0
  • duplicates 0
  • antimicrobial resistance genes 0
  • tumor-only 0
  • mirna 0
  • benchmark 0
  • deamination 0
  • ptr 0
  • diversity 0
  • distance 0
  • mem 0
  • visualization 0
  • cat 0
  • isolates 0
  • concatenate 0
  • interval 0
  • amps 0
  • single cell 0
  • tabular 0
  • detection 0
  • fastx 0
  • csv 0
  • de novo 0
  • FASTQ 0
  • text 0
  • kallisto 0
  • arg 0
  • ont 0
  • fragment 0
  • MAF 0
  • sourmash 0
  • counts 0
  • indels 0
  • svtk 0
  • coptr 0
  • antibiotic resistance 0
  • de novo assembly 0
  • compare 0
  • idXML 0
  • adapters 0
  • profiling 0
  • microbiome 0
  • reference-free 0
  • clipping 0
  • merging 0
  • gridss 0
  • riboseq 0
  • ccs 0
  • family 0
  • bedpe 0
  • malt 0
  • ngscheckmate 0
  • genome assembler 0
  • matching 0
  • fai 0
  • bigwig 0
  • ampir 0
  • fungi 0
  • CLIP 0
  • diamond 0
  • circrna 0
  • rna 0
  • microarray 0
  • normalization 0
  • bin 0
  • ganon 0
  • add 0
  • microsatellite 0
  • retrotransposon 0
  • miscoding lesions 0
  • isomir 0
  • compress 0
  • palaeogenetics 0
  • archaeogenetics 0
  • bgzip 0
  • telomere 0
  • skani 0
  • interval_list 0
  • hic 0
  • deep learning 0
  • paf 0
  • redundancy 0
  • cut 0
  • resistance 0
  • pypgx 0
  • HMM 0
  • enrichment 0
  • chromosome 0
  • gsea 0
  • logratio 0
  • happy 0
  • STR 0
  • HiFi 0
  • biosynthetic gene cluster 0
  • bcl2fastq 0
  • propr 0
  • hmmcopy 0
  • image 0
  • umitools 0
  • parsing 0
  • quantification 0
  • BGC 0
  • public datasets 0
  • clean 0
  • ranking 0
  • phylogenetic placement 0
  • xeniumranger 0
  • genmod 0
  • transcriptomics 0
  • DNA sequence 0
  • mtDNA 0
  • sample 0
  • abundance 0
  • sequencing 0
  • bedgraph 0
  • containment 0
  • ancestry 0
  • snps 0
  • fgbio 0
  • fcs-gx 0
  • arriba 0
  • deeparg 0
  • macrel 0
  • mlst 0
  • amplify 0
  • fastk 0
  • das tool 0
  • spark 0
  • html 0
  • C to T 0
  • DRAMP 0
  • das_tool 0
  • angsd 0
  • insert 0
  • fam 0
  • bim 0
  • fusion 0
  • small indels 0
  • subsample 0
  • pangolin 0
  • panel 0
  • UMI 0
  • pan-genome 0
  • rsem 0
  • pairsam 0
  • duplication 0
  • prokaryotes 0
  • replace 0
  • bacterial 0
  • covid 0
  • benchmarking 0
  • dictionary 0
  • lineage 0
  • PCA 0
  • mapper 0
  • fingerprint 0
  • genome mining 0
  • prokka 0
  • regions 0
  • typing 0
  • RNA-seq 0
  • genomes 0
  • neubi 0
  • entrez 0
  • eukaryotes 0
  • scores 0
  • seqtk 0
  • mcmicro 0
  • aln 0
  • bwameth 0
  • npz 0
  • windowmasker 0
  • amplicon sequences 0
  • hi-c 0
  • bakta 0
  • vrhyme 0
  • nucleotide 0
  • highly_multiplexed_imaging 0
  • mkfastq 0
  • image_analysis 0
  • host 0
  • gene expression 0
  • zip 0
  • unzip 0
  • uncompress 0
  • untar 0
  • mask 0
  • kraken 0
  • RNA 0
  • rna_structure 0
  • microbes 0
  • proteome 0
  • guide tree 0
  • long_read 0
  • somatic variants 0
  • transposons 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
  • genotype-based deconvoltion 0
  • bamtools 0
  • bracken 0
  • hidden Markov model 0
  • archiving 0
  • minimap2 0
  • sylph 0
  • amplicon sequencing 0
  • notebook 0
  • reports 0
  • ataqv 0
  • checkv 0
  • informative sites 0
  • kinship 0
  • identity 0
  • relatedness 0
  • repeat expansion 0
  • virulence 0
  • cut up 0
  • krona chart 0
  • survivor 0
  • miRNA 0
  • cool 0
  • pseudoalignment 0
  • dist 0
  • dump 0
  • lossless 0
  • shapeit 0
  • khmer 0
  • CRISPR 0
  • krona 0
  • prefetch 0
  • spaceranger 0
  • wastewater 0
  • wig 0
  • tabix 0
  • ambient RNA removal 0
  • ligate 0
  • population genomics 0
  • cfDNA 0
  • uLTRA 0
  • png 0
  • gstama 0
  • profiles 0
  • ichorcna 0
  • mash 0
  • tama 0
  • pigz 0
  • bustools 0
  • refine 0
  • resolve_bioscience 0
  • gene set 0
  • trancriptome 0
  • gene set analysis 0
  • spatial_transcriptomics 0
  • screen 0
  • krakentools 0
  • phase 0
  • haplotypes 0
  • split_kmers 0
  • interactive 0
  • reformat 0
  • serogroup 0
  • minhash 0
  • GC content 0
  • maximum likelihood 0
  • megan 0
  • polyA_tail 0
  • hla 0
  • primer 0
  • hlala 0
  • k-mer frequency 0
  • hla_typing 0
  • hlala_typing 0
  • barcode 0
  • iphop 0
  • checksum 0
  • corrupted 0
  • tree 0
  • nanostring 0
  • mapcounter 0
  • nacho 0
  • haplogroups 0
  • mRNA 0
  • find 0
  • krakenuniq 0
  • instrain 0
  • pair 0
  • long terminal repeat 0
  • trgt 0
  • cgMLST 0
  • regression 0
  • taxids 0
  • SimpleAF 0
  • taxon name 0
  • zlib 0
  • differential expression 0
  • variation 0
  • vcflib 0
  • ampgram 0
  • amptransformer 0
  • orthologs 0
  • WGS 0
  • image_processing 0
  • dereplicate 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
  • interactions 0
  • functional analysis 0
  • join 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
  • salmon 0
  • rgfa 0
  • small variants 0
  • multiallelic 0
  • nucleotides 0
  • proportionality 0
  • mitochondrion 0
  • orf 0
  • leviosam2 0
  • lift 0
  • metamaps 0
  • registration 0
  • mirdeep2 0
  • homoploymer 0
  • ped 0
  • Duplication purging 0
  • purge duplications 0
  • library 0
  • preseq 0
  • adapter 0
  • import 0
  • doublets 0
  • variant pruning 0
  • anndata 0
  • bfiles 0
  • subset 0
  • gene labels 0
  • read-group 0
  • hostile 0
  • duplicate 0
  • decontamination 0
  • GPU-accelerated 0
  • graph layout 0
  • human removal 0
  • screening 0
  • removal 0
  • msisensor-pro 0
  • cleaning 0
  • micro-satellite-scan 0
  • tumor 0
  • msi 0
  • instability 0
  • MSI 0
  • Read depth 0
  • contig 0
  • RNA sequencing 0
  • soft-clipped clusters 0
  • snpeff 0
  • effect prediction 0
  • shigella 0
  • switch 0
  • ancient dna 0
  • Streptococcus pneumoniae 0
  • sequenzautils 0
  • transformation 0
  • rename 0
  • salmonella 0
  • smrnaseq 0
  • varcal 0
  • fusions 0
  • Pharmacogenetics 0
  • scaffold 0
  • fixmate 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
  • taxonomic profile 0
  • assembly evaluation 0
  • concordance 0
  • duplex 0
  • deconvolution 0
  • merge mate pairs 0
  • reads merging 0
  • short reads 0
  • xenograft 0
  • graft 0
  • unaligned 0
  • fetch 0
  • GEO 0
  • trim 0
  • metagenomic 0
  • identifier 0
  • microscopy 0
  • expansionhunterdenovo 0
  • repeat_expansions 0
  • metadata 0
  • tab 0
  • allele-specific 0
  • emboss 0
  • panelofnormals 0
  • MaltExtract 0
  • HOPS 0
  • authentication 0
  • gatk 0
  • edit distance 0
  • joint genotyping 0
  • secondary metabolites 0
  • NRPS 0
  • RiPP 0
  • interval list 0
  • evidence 0
  • antibiotics 0
  • antismash 0
  • filtermutectcalls 0
  • RNA-Seq 0
  • simulate 0
  • artic 0
  • aggregate 0
  • demultiplexed reads 0
  • tbi 0
  • gwas 0
  • sra-tools 0
  • settings 0
  • BAM 0
  • blastn 0
  • version 0
  • correction 0
  • cvnkit 0
  • single cells 0
  • genome bins 0
  • recombination 0
  • eCLIP 0
  • splice 0
  • parse 0
  • fasterq-dump 0
  • awk 0
  • intersection 0
  • scatter 0
  • reheader 0
  • eigenstrat 0
  • validate 0
  • samplesheet 0
  • format 0
  • eido 0
  • windows 0
  • metagenomes 0
  • blastp 0
  • deseq2 0
  • rna-seq 0
  • region 0
  • heatmap 0
  • sizes 0
  • bases 0
  • spatial_omics 0
  • random forest 0
  • UMIs 0
  • gem 0
  • baf 0
  • genomad 0
  • getfasta 0
  • derived alleles 0
  • tnfilter 0
  • covariance model 0
  • dereplication 0
  • microbial genomics 0
  • jaccard 0
  • overlap 0
  • array_cgh 0
  • cytosure 0
  • decomposeblocksub 0
  • ancestral alleles 0
  • gprofiler2 0
  • gost 0
  • genomecov 0
  • closest 0
  • rad 0
  • bamtobed 0
  • structural variant 0
  • bam2fastx 0
  • bam2fastq 0
  • immcantation 0
  • airrseq 0
  • vector 0
  • site frequency spectrum 0
  • immunoinformatics 0
  • f coefficient 0
  • bioawk 0
  • unionBedGraphs 0
  • reverse complement 0
  • simulation 0
  • hmmfetch 0
  • decompose 0
  • pca 0
  • pruning 0
  • subtract 0
  • linkage equilibrium 0
  • slopBed 0
  • transmembrane 0
  • genome graph 0
  • chunking 0
  • homozygous genotypes 0
  • decoy 0
  • heterozygous genotypes 0
  • htseq 0
  • inbreeding 0
  • shiftBed 0
  • multinterval 0
  • sompy 0
  • overlapped bed 0
  • maskfasta 0
  • peak picking 0
  • drep 0
  • homology 0
  • co-orthology 0
  • clumping fastqs 0
  • deduping 0
  • plastid 0
  • smaller fastqs 0
  • resfinder 0
  • resistance genes 0
  • raw 0
  • mgf 0
  • parquet 0
  • parser 0
  • dbsnp 0
  • standardize 0
  • quarto 0
  • masking 0
  • python 0
  • r 0
  • low-complexity 0
  • coexpression 0
  • correlation 0
  • corpcor 0
  • GFF/GTF 0
  • assay 0
  • trio binning 0
  • tandem repeats 0
  • phylogenetics 0
  • minimum_evolution 0
  • parallel 0
  • csi 0
  • Read coverage histogram 0
  • biallelic 0
  • sequence similarity 0
  • spectral clustering 0
  • agat 0
  • longest 0
  • comparative genomics 0
  • isoform 0
  • autozygosity 0
  • homozygosity 0
  • variancepartition 0
  • idx 0
  • update header 0
  • intron 0
  • dream 0
  • md 0
  • transform 0
  • gaps 0
  • introns 0
  • nm 0
  • uq 0
  • install 0
  • joint-genotyping 0
  • genotypegvcf 0
  • short 0
  • file manipulation 0
  • plink2_pca 0
  • propd 0
  • verifybamid 0
  • vcf2db 0
  • gemini 0
  • melon 0
  • maf 0
  • lua 0
  • toml 0
  • plant 0
  • vcfbreakmulti 0
  • uniq 0
  • deduplicate 0
  • SINE 0
  • VCFtools 0
  • network 0
  • downsample bam 0
  • DNA contamination estimation 0
  • wget 0
  • cellpose 0
  • hifi 0
  • extractunbinned 0
  • linkbins 0
  • Assembly 0
  • sintax 0
  • vsearch/sort 0
  • subsample bam 0
  • downsample 0
  • usearch 0
  • unmarkduplicates 0
  • bedtobigbed 0
  • genepred 0
  • refflat 0
  • gtftogenepred 0
  • ucsc/liftover 0
  • chromap 0
  • mobile genetic elements 0
  • genome annotation 0
  • trna 0
  • covariance models 0
  • quality assurnce 0
  • qa 0
  • umicollapse 0
  • scanner 0
  • scRNA-Seq 0
  • crispr 0
  • antibody capture 0
  • files 0
  • antigen capture 0
  • helitron 0
  • multiomics 0
  • remove samples 0
  • upd 0
  • uniparental 0
  • disomy 0
  • domains 0
  • long read alignment 0
  • nucleotide sequence 0
  • copyratios 0
  • comp 0
  • denoisereadcounts 0
  • readwriter 0
  • dnamodelapply 0
  • tblastn 0
  • bedcov 0
  • genome polishing 0
  • groupby 0
  • assembly polishing 0
  • genotype dosages 0
  • vcf file 0
  • postprocessing 0
  • bgen 0
  • subtyping 0
  • chloroplast 0
  • confidence 0
  • blat 0
  • alr 0
  • clr 0
  • Salmonella enterica 0
  • boxcox 0
  • sorted 0
  • bgen file 0
  • Escherichia coli 0
  • createreadcountpanelofnormals 0
  • workflow_mode 0
  • pangenome-scale 0
  • yahs 0
  • all versus all 0
  • mashmap 0
  • wavefront 0
  • compartments 0
  • copy-number 0
  • copy number analysis 0
  • gender determination 0
  • topology 0
  • copy number alterations 0
  • copy number variation 0
  • geo 0
  • workflow 0
  • mapad 0
  • adna 0
  • c to t 0
  • cumulative coverage 0
  • proteus 0
  • readproteingroups 0
  • calder2 0
  • eigenvectors 0
  • hicPCA 0
  • sliding 0
  • cadd 0
  • snakemake 0
  • distance-based 0
  • long read 0
  • homologs 0
  • telseq 0
  • admixture 0
  • taxonomic composition 0
  • mzML 0
  • microRNA 0
  • prepare 0
  • catpack 0
  • multiqc 0
  • mass_error 0
  • search engine 0
  • stardist 0
  • vsearch/dereplicate 0
  • Staging 0
  • vsearch/fastqfilter 0
  • fastqfilter 0
  • ATACseq 0
  • shift 0
  • ATACshift 0
  • http(s) 0
  • utility 0
  • setgt 0
  • jvarkit 0
  • translate 0
  • tar 0
  • tarball 0
  • adapterremoval 0
  • CRISPRi 0
  • HLA 0
  • tag2tag 0
  • nanoq 0
  • Read filters 0
  • Read trimming 0
  • Read report 0
  • hhsuite 0
  • drug categorization 0
  • ATLAS 0
  • uniques 0
  • Illumina 0
  • functional 0
  • impute-info 0
  • tags 0
  • sequencing_bias 0
  • mkarv 0
  • hashing-based deconvolution 0
  • rank 0
  • 16S 0
  • java 0
  • script 0
  • post mortem damage 0
  • xml 0
  • svg 0
  • standard 0
  • haplotag 0
  • staging 0
  • targz 0
  • Computational Immunology 0
  • bias 0
  • scanpy 0
  • nuclear contamination estimate 0
  • resegment 0
  • morphology 0
  • fix 0
  • post Post-processing 0
  • malformed 0
  • partitioning 0
  • chip 0
  • updatedata 0
  • metagenome assembler 0
  • run 0
  • model 0
  • AMPs 0
  • allele counts 0
  • antimicrobial peptide prediction 0
  • plotting 0
  • regtools 0
  • leafcutter 0
  • amp 0
  • pdb 0
  • recovery 0
  • mgi 0
  • Staphylococcus aureus 0
  • affy 0
  • block substitutions 0
  • reference panels 0
  • relabel 0
  • cell segmentation 0
  • Bioinformatics Tools 0
  • quality_control 0
  • bclconvert 0
  • nucBed 0
  • AT content 0
  • Immune Deconvolution 0
  • nucleotide content 0
  • doublet 0
  • patterns 0
  • controlstatistics 0
  • source tracking 0
  • emoji 0
  • regex 0
  • nuclear segmentation 0
  • paired reads re-pairing 0
  • installation 0
  • doublet_detection 0
  • barcodes 0
  • doCounts 0
  • subsetting 0
  • logFC 0
  • significance statistic 0
  • p-value 0
  • scvi 0
  • solo 0
  • import segmentation 0
  • redundant 0
  • hmmpress 0
  • identity-by-descent 0
  • go 0
  • scimap 0
  • Bayesian 0
  • host removal 0
  • structural-variants 0
  • omics 0
  • biological activity 0
  • bamtools/split 0
  • prior knowledge 0
  • tag 0
  • cell_barcodes 0
  • haploype 0
  • mygene 0
  • yaml 0
  • associations 0
  • impute 0
  • bedgraphtobigwig 0
  • bamtools/convert 0
  • reference compression 0
  • pile up 0
  • mouse 0
  • reference panel 0
  • bacphlip 0
  • virulent 0
  • nanopore sequencing 0
  • rna velocity 0
  • cobra 0
  • spatial_neighborhoods 0
  • Indel 0
  • grea 0
  • seqfu 0
  • multi-tool 0
  • predict 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
  • n50 0
  • case/control 0
  • cell_type_identification 0
  • cell_phenotyping 0
  • machine_learning 0
  • element 0
  • trimBam 0
  • bamUtil 0
  • shuffleBed 0
  • SNV 0
  • clahe 0
  • refresh 0
  • association 0
  • GWAS 0
  • extension 0
  • temperate 0
  • read group 0
  • cram-size 0
  • bwamem2 0
  • bwameme 0
  • grabix 0
  • ribosomal 0
  • 10x 0
  • background 0
  • single-stranded 0
  • regulatory network 0
  • ancientDNA 0
  • transcription factors 0
  • paraphase 0
  • selector 0
  • size 0
  • Pacbio 0
  • quality check 0
  • realign 0
  • circular 0
  • phylogenies 0
  • hmmscan 0
  • spot 0
  • orthogroup 0
  • authentict 0
  • sage 0
  • mass spectrometry 0
  • featuretable 0
  • extraction 0
  • guidetree 0
  • AC/NS/AF 0
  • functional enrichment 0
  • autofluorescence 0
  • translation 0
  • paired reads merging 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
  • cycif 0
  • vcflib/vcffixup 0
  • contiguate 0
  • junction 0
  • MMseqs2 0
  • InterProScan 0
  • busco 0
  • droplet based single cells 0
  • antimicrobial reistance 0
  • lexogen 0
  • genotype-based demultiplexing 0
  • donor deconvolution 0
  • cellsnp 0
  • trimfq 0
  • bigbed 0
  • cmseq 0
  • duplicate removal 0
  • bedtointervallist 0
  • mash/sketch 0
  • calibratedragstrmodel 0
  • reduced 0
  • representations 0
  • maxbin2 0
  • getpileupsummaries 0
  • metagenome-assembled genomes 0
  • cross-samplecontamination 0
  • mass-spectroscopy 0
  • calculatecontamination 0
  • mcr-1 0
  • MD5 0
  • 128 bit 0
  • megahit 0
  • taxonomic assignment 0
  • denovo 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
  • cnnscorevariants 0
  • collectreadcounts 0
  • ploidy 0
  • AMP 0
  • collapsing 0
  • determinegermlinecontigploidy 0
  • legionella 0
  • clinical 0
  • pneumophila 0
  • createsomaticpanelofnormals 0
  • limma 0
  • Listeria monocytogenes 0
  • createsequencedictionary 0
  • condensedepthevidence 0
  • peptide prediction 0
  • estimate 0
  • dragstr 0
  • functional genomics 0
  • sgRNA 0
  • CRISPR-Cas9 0
  • maximum-likelihood 0
  • rra 0
  • composestrtablefile 0
  • short variant discovery 0
  • combinegvcfs 0
  • DNA damage 0
  • NGS 0
  • damage patterns 0
  • collectsvevidence 0
  • smudgeplot 0
  • unionsum 0
  • train 0
  • graph drawing 0
  • SNP table 0
  • contaminant 0
  • single molecule 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
  • graph construction 0
  • ubam 0
  • Beautiful stand-alone HTML report 0
  • squeeze 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
  • unmapped 0
  • GATK UnifiedGenotyper 0
  • bioinformatics tools 0
  • metaphlan 0
  • bootstrapping 0
  • methylation bias 0
  • mbias 0
  • heattree 0
  • gangstr 0
  • assembler 0
  • de Bruijn 0
  • microrna 0
  • target prediction 0
  • mitochondrial genome 0
  • reference genome 0
  • UShER 0
  • mosdepth 0
  • mitochondrial to nuclear ratio 0
  • otu table 0
  • rust 0
  • microsatellite instability 0
  • fq 0
  • lint 0
  • random 0
  • scan 0
  • mtnucratio 0
  • ratio 0
  • generate 0
  • adapter removal 0
  • spliced 0
  • flip 0
  • txt 0
  • abricate 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
  • gawk 0
  • extractvariants 0
  • variantrecalibrator 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
  • compound 0
  • extract_variants 0
  • Hidden Markov Model 0
  • gene model 0
  • Haplotypes 0
  • Imputation 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
  • gvcftools 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
  • archaea 0
  • genome size 0
  • gunc 0
  • gunzip 0
  • models 0
  • shiftfasta 0
  • hmtnote 0
  • reorder 0
  • Klebsiella 0
  • readorientationartifacts 0
  • learnreadorientationmodel 0
  • indexfeaturefile 0
  • readcountssummary 0
  • getpileupsumaries 0
  • kallisto/index 0
  • quant 0
  • germlinevariantsites 0
  • germlinecnvcaller 0
  • germline contig ploidy 0
  • digital normalization 0
  • k-mer counting 0
  • effective genome size 0
  • pneumoniae 0
  • jupytext 0
  • panelofnormalscreation 0
  • kegg 0
  • kofamscan 0
  • jointgenotyping 0
  • combining 0
  • genomicsdbimport 0
  • genomicsdb 0
  • gatherbqsrreports 0
  • tranche filtering 0
  • filtervarianttranches 0
  • filterintervals 0
  • estimatelibrarycomplexity 0
  • duplication metrics 0
  • papermill 0
  • Jupyter 0
  • annotations 0
  • pixel_classification 0
  • shiftchain 0
  • pos 0
  • haemophilus 0
  • selectvariants 0
  • revert 0
  • panel_of_normals 0
  • IDR 0
  • igv 0
  • igv.js 0
  • js 0
  • genome browser 0
  • multicut 0
  • pixel classification 0
  • probability_maps 0
  • Python 0
  • reblockgvcf 0
  • printsvevidence 0
  • printreads 0
  • interproscan 0
  • preprocessintervals 0
  • postprocessgermlinecnvcalls 0
  • genomic islands 0
  • insertion 0
  • snvs 0
  • mutectstats 0
  • mergebamalignment 0
  • leftalignandtrimvariants 0
  • jasminesv 0
  • jasmine 0
  • PCR/optical duplicates 0
  • upper-triangular matrix 0
  • sequencing adapters 0
  • custom 0
  • sertotype 0
  • interleave 0
  • header 0
  • seq 0
  • na 0
  • selection 0
  • random draw 0
  • pseudohaploid 0
  • pseudodiploid 0
  • freqsum 0
  • bam2seqz 0
  • gc_wiggle 0
  • induce 0
  • sex determination 0
  • sequence headers 0
  • genetic sex 0
  • relative coverage 0
  • Cores 0
  • Segmentation 0
  • rare variants 0
  • error 0
  • TMA dearray 0
  • de-novo 0
  • longread 0
  • sha256 0
  • 256 bit 0
  • UNet 0
  • shinyngs 0
  • cls 0
  • grep 0
  • boxplot 0
  • scramble 0
  • amplicon 0
  • ampliconclip 0
  • scatterplot 0
  • calmd 0
  • corrrelation 0
  • faidx 0
  • track 0
  • insert size 0
  • repair 0
  • paired 0
  • read pairs 0
  • readgroup 0
  • paired-end 0
  • cluster analysis 0
  • subseq 0
  • clusteridentifier 0
  • peak-caller 0
  • cut&tag 0
  • cut&run 0
  • chromatin 0
  • seacr 0
  • pcr duplicates 0
  • assembly-binning 0
  • applyvarcal 0
  • VQSR 0
  • variant recalibration 0
  • gct 0
  • exploratory 0
  • density 0
  • sambamba 0
  • rdtest2vcf 0
  • spatype 0
  • spa 0
  • streptococcus 0
  • sccmec 0
  • Sample 0
  • protein coding genes 0
  • detecting svs 0
  • short-read sequencing 0
  • polymorphic sites 0
  • svtk/baftest 0
  • baftest 0
  • countsvtypes 0
  • rdtest 0
  • antitarget 0
  • polymorphic 0
  • vcf2bed 0
  • decompress 0
  • polymut 0
  • polya tail 0
  • fast5 0
  • chromosome_visualization 0
  • Mycobacterium tuberculosis 0
  • eucaryotes 0
  • coding 0
  • cds 0
  • transcroder 0
  • access 0
  • fracminhash sketch 0
  • features 0
  • cload 0
  • mcool 0
  • sliding window 0
  • genomic bins 0
  • makebins 0
  • CRAM 0
  • SMN1 0
  • SMN2 0
  • POA 0
  • enzyme 0
  • digest 0
  • cooler/balance 0
  • hash sketch 0
  • subcontigs 0
  • nucleotide composition 0
  • SNPs 0
  • invariant 0
  • constant 0
  • concoct 0
  • rRNA 0
  • ribosomal RNA 0
  • target 0
  • export 0
  • signatures 0
  • duplicate marking 0
  • flagstat 0
  • ligation junctions 0
  • deletions 0
  • insertions 0
  • tandem duplications 0
  • ARGs 0
  • picard/renamesampleinvcf 0
  • antibiotic resistance genes 0
  • faqcs 0
  • exclude 0
  • variant identifiers 0
  • str 0
  • indep 0
  • indep pairwise 0
  • recode 0
  • whole genome association 0
  • identifiers 0
  • scoring 0
  • cache 0
  • variant genetic 0
  • sortvcf 0
  • pcr 0
  • porechop_abi 0
  • pbp 0
  • pairtools 0
  • pairstools 0
  • restriction fragments 0
  • select 0
  • groupreads 0
  • duplexumi 0
  • consensus sequence 0
  • public 0
  • paragraph 0
  • graphs 0
  • pbbam 0
  • pbmerge 0
  • subreads 0
  • pair-end 0
  • liftovervcf 0
  • read 0
  • pedigrees 0
  • ENA 0
  • motif 0
  • ChIP-Seq 0
  • phantom peaks 0
  • prophage 0
  • identification 0
  • illumina datasets 0
  • phylogenetic composition 0
  • SRA 0
  • ANI 0
  • hybrid-selection 0
  • mate-pair 0
  • pmdtools 0
  • percent on target 0
  • read distribution 0
  • subsampling 0
  • long uncorrected reads 0
  • rhocall 0
  • R 0
  • escherichia coli 0
  • bamstat 0
  • depth information 0
  • strandedness 0
  • experiment 0
  • read_pairs 0
  • fragment_size 0
  • inner_distance 0
  • structural variation 0
  • duphold 0
  • PEP 0
  • sequence-based 0
  • mapping-based 0
  • segment 0
  • integrity 0
  • rtg 0
  • blastx 0
  • pedfilter 0
  • rocplot 0
  • rtg-tools 0
  • salsa 0
  • salsa2 0
  • neighbour-joining 0
  • quast 0
  • endogenous DNA 0
  • circos 0
  • Streptococcus pyogenes 0
  • swissprot 0
  • genbank 0
  • contact 0
  • pretext 0
  • jpg 0
  • bmp 0
  • contact maps 0
  • gene finding 0
  • embl 0
  • deletion 0
  • schema 0
  • cutoff 0
  • eklipse 0
  • haplotype purging 0
  • duplicate purging 0
  • false duplications 0
  • assembly curation 0
  • Haplotype purging 0
  • eigenstratdatabasetools 0
  • False duplications 0
  • Assembly curation 0
  • pep 0
  • purging 0
  • integron 0

generate VCF file from a BAM file using various calling methods

012340000

vcf versions

atlas:

ATLAS, a suite of methods to accurately genotype and estimate genetic diversity

This command replaces the former bcftools view caller. Some of the original functionality has been temporarily lost in the process of transition under htslib, but will be added back on popular demand. The original calling model can be invoked with the -c option.

012000

vcf tbi csi versions

view:

View, subset and filter VCF or BCF files by position and filtering expression. Convert between VCF and BCF

Concatenate VCF files

012

vcf tbi csi versions

concat:

Concatenate VCF files.

Compresses VCF files

01234

fasta versions

consensus:

Create consensus sequence by applying VCF variants to a reference fasta file.

Filters VCF files

012

vcf tbi csi versions

filter:

Apply fixed-threshold filters to VCF files.

Apply set operations to VCF files

012

results versions

isec:

Computes intersections, unions and complements of VCF files.

Merge VCF files

012010101

vcf index versions

merge:

Merge VCF files.

Compresses VCF files

012010

vcf tbi stats mpileup versions

mpileup:

Generates genotype likelihoods at each genomic position with coverage.

Normalize VCF file

01201

vcf tbi csi versions

norm:

Normalize VCF files.

Extracts fields from VCF or BCF files and outputs them in user-defined format.

012000

output versions

query:

Extracts fields from VCF or BCF files and outputs them in user-defined format.

Sorts VCF files

01

vcf tbi csi versions

sort:

Sort VCF files by coordinates.

Generates stats from VCF files

0120101010101

stats versions

stats:

Parses VCF or BCF and produces text file stats which is suitable for machine processing and can be plotted using plot-vcfstats.

View, subset and filter VCF or BCF files by position and filtering expression. Convert between VCF and BCF

012000

vcf tbi csi versions

view:

View, subset and filter VCF or BCF files by position and filtering expression. Convert between VCF and BCF

Computes cytosine methylation and callable SNV mutations, optionally in reference to a germline BAM to call somatic variants

012340101

vcf versions

biscuit:

A utility for analyzing sodium bisulfite conversion-based DNA methylation/modification data

Performs alignment of BS-Seq reads using bismark

010101

bam report unmapped versions

bismark:

Bismark is a tool to map bisulfite treated sequencing reads and perform methylation calling in a quick and easy-to-use fashion.

Relates methylation calls back to genomic cytosine contexts.

010101

coverage report summary versions

bismark:

Bismark is a tool to map bisulfite treated sequencing reads and perform methylation calling in a quick and easy-to-use fashion.

Removes alignments to the same position in the genome from the Bismark mapping output.

01

bam report versions

bismark:

Bismark is a tool to map bisulfite treated sequencing reads and perform methylation calling in a quick and easy-to-use fashion.

Converts a specified reference genome into two different bisulfite converted versions and indexes them for alignments.

01

index versions

bismark:

Bismark is a tool to map bisulfite treated sequencing reads and perform methylation calling in a quick and easy-to-use fashion.

Extracts methylation information for individual cytosines from alignments.

0101

bedgraph methylation_calls coverage report mbias versions

bismark:

Bismark is a tool to map bisulfite treated sequencing reads and perform methylation calling in a quick and easy-to-use fashion.

Collects bismark alignment reports

01234

report versions

bismark:

Bismark is a tool to map bisulfite treated sequencing reads and perform methylation calling in a quick and easy-to-use fashion.

Uses Bismark report files of several samples in a run folder to generate a graphical summary HTML report.

00000

summary versions

bismark:

Bismark is a tool to map bisulfite treated sequencing reads and perform methylation calling in a quick and easy-to-use fashion.

Module to build the VDJ reference needed by the 10x Genomics Cell Ranger tool. Uses the cellranger mkvdjref command.

0000

reference versions

cellranger:

Cell Ranger processes data from 10X Genomics Chromium kits. cellranger vdj takes FASTQ files from cellranger mkfastq or bcl2fastq for V(D)J libraries and performs sequence assembly and paired clonotype calling. It uses the Chromium cellular barcodes and UMIs to assemble V(D)J transcripts per cell. Clonotypes and CDR3 sequences are output as a .vloupe file which can be loaded into Loupe V(D)J Browser.

Module to use Cell Ranger's pipelines analyze sequencing data produced from Chromium Single Cell Immune Profiling.

010

outs versions

cellranger:

Cell Ranger processes data from 10X Genomics Chromium kits. cellranger vdj takes FASTQ files from cellranger mkfastq or bcl2fastq for V(D)J libraries and performs sequence assembly and paired clonotype calling. It uses the Chromium cellular barcodes and UMIs to assemble V(D)J transcripts per cell. Clonotypes and CDR3 sequences are output as a .vloupe file which can be loaded into Loupe V(D)J Browser.

CNVnator is a command line tool for CNV/CNA analysis from depth-of-coverage by mapped reads.

012010101

root tab versions

cnvnator:

Tool for calling copy number variations.

convert2vcf.pl is command line tool to convert CNVnator calls to vcf format.

01

vcf versions

cnvnator:

Tool for calling copy number variations.

Command line tool for calling CNVs in whole genome sequencing data

010

pytor versions

cnvpytor:

calling CNVs using read depth

calculates read depth histograms

010

pytor versions

cnvpytor:

calling CNVs using read depth

command line tool for CNV/CNA analysis. This step imports the read depth data into a root pytor file.

01200

pytor versions

cnvpytor -rd:

calling CNVs using read depth

partitioning read depth histograms

010

pytor versions

cnvpytor:

calling CNVs using read depth

view function to generate vcfs

0100

vcf tsv xls versions

cnvpytor:

calling CNVs using read depth

structural-variant calling with cutesv

01201

vcf versions

DeepSomatic is an extension of deep learning-based variant caller DeepVariant that takes aligned reads (in BAM or CRAM format) from tumor and normal data, produces pileup image tensors from them, classifies each tensor using a convolutional neural network, and finally reports somatic variants in a standard VCF or gVCF file.

0123401010101

vcf vcf_tbi gvcf gvcf_tbi versions

(DEPRECATED - see main.nf) DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data

012301010101

vcf vcf_tbi gvcf gvcf_tbi versions

Call variants from the examples produced by make_examples

01

call_variants_tfrecords versions

deepvariant:

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data

Transforms the input alignments to a format suitable for the deep neural network variant caller

012301010101

examples gvcf small_model_calls versions

deepvariant:

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data

01234010101

vcf vcf_index gvcf gvcf_index versions

deepvariant:

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data

012301010101

vcf vcf_tbi gvcf gvcf_tbi versions

deepvariant:

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data

01

report versions

deepvariant:

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data

Convert a file in FASTA format to the ELFASTA format

01

elfasta log versions

elprep:

elPrep is a high-performance tool for preparing .sam/.bam files for variant calling in sequencing pipelines. It can be used as a drop-in replacement for SAMtools/Picard/GATK4.

Filter, sort and markdup sam/bam files, with optional BQSR and variant calling.

012345601010100000

bam logs metrics recall gvcf table activity_profile assembly_regions versions

elprep:

elPrep is a high-performance tool for preparing .sam/.bam files for variant calling in sequencing pipelines. It can be used as a drop-in replacement for SAMtools/Picard/GATK4.

Merge split bam/sam chunks in one file

01

bam versions

elprep:

elPrep is a high-performance tool for preparing .sam/.bam files for variant calling in sequencing pipelines. It can be used as a drop-in replacement for SAMtools/Picard/GATK4.

Split bam file into manageable chunks

01

bam versions

elprep:

elPrep is a high-performance tool for preparing .sam/.bam files for variant calling in sequencing pipelines. It can be used as a drop-in replacement for SAMtools/Picard/GATK4.

A haplotype-based variant detector

0123450101010101

vcf versions

Gene Allele Mutation Microbial Assessment

010

gamma psl gff fasta versions

gamma:

Tool for Gene Allele Mutation Microbial Assessment

Performs local realignment around indels to correct for mapping errors

012301010101

bam versions

gatk:

The full Genome Analysis Toolkit (GATK) framework, license restricted.

Generates a list of locations that should be considered for local realignment prior genotyping.

01201010101

intervals versions

gatk:

The full Genome Analysis Toolkit (GATK) framework, license restricted.

SNP and Indel variant caller on a per-locus basis

01201010101010101

vcf versions

gatk:

The full Genome Analysis Toolkit (GATK) framework, license restricted.

Peak-calling for ChIP-seq and ATAC-seq enrichment experiments

0120

peak versions bedgraph_pvalues bedgraph_pileup bed_intervals duplicates

merge gVCF files and perform joint variant calling

0101

bcf versions

pacbio structural variant calling tool

01201201

vcf csv versions

Lofreq subcommand to for insert base and indel alignment qualities

010

bam versions

lofreq:

A fast and sensitive variant-caller for inferring SNVs and indels from next-generation sequencing data

Lofreq subcommand to call low frequency variants from alignments

0120

vcf versions

lofreq:

A fast and sensitive variant-caller for inferring SNVs and indels from next-generation sequencing data

It predicts variants using multiple processors

01230101

vcf tbi versions

lofreq:

Lofreq is a fast and sensitive variant-caller for inferring SNVs and indels from next-generation sequencing data. It's call-parallel programme predicts variants using multiple processors

Lofreq subcommand to remove variants with low coverage or strand bias potential

01

vcf versions

lofreq:

A fast and sensitive variant-caller for inferring SNVs and indels from next-generation sequencing data

Inserts indel qualities in a BAM file

0101

bam versions

lofreq:

Lofreq is a fast and sensitive variant-caller for inferring SNVs and indels from next-generation sequencing data. It's indelqual programme inserts indel qualities in a BAM file

Lofreq subcommand to call low frequency variants from alignments when tumor-normal paired samples are available

0123450101

vcf versions

lofreq:

A fast and sensitive variant-caller for inferring SNVs and indels from next-generation sequencing data

Lofreq subcommand to call low frequency variants from alignments when tumor-normal paired samples are available

0101

bam versions

lofreq:

A fast and sensitive variant-caller for inferring SNVs and indels from next-generation sequencing data

Peak calling of enriched genomic regions of ChIP-seq and ATAC-seq experiments

0120

peak xls versions gapped bed bdg

macs2:

Model Based Analysis for ChIP-Seq data

Peak calling of enriched genomic regions of ChIP-seq and ATAC-seq experiments

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peak xls versions gapped bed bdg

macs3:

Model Based Analysis for ChIP-Seq data

pre-filtering and calculating position-specific summary statistics using the Markov substitution model

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txt versions

MuSE:

Somatic point mutation caller based on Markov substitution model for molecular evolution

Computes tier-based cutoffs from a sample-specific error model which is generated by muse/call and reports the finalized variants

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vcf tbi versions

MuSE:

Somatic point mutation caller based on Markov substitution model for molecular evolution

Get dataset for SARS-CoV-2 genome clade assignment, mutation calling, and sequence quality checks (C++ implementation)

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dataset versions

nextclade:

SARS-CoV-2 genome clade assignment, mutation calling, and sequence quality checks

SARS-CoV-2 genome clade assignment, mutation calling, and sequence quality checks (C++ implementation)

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csv csv_errors csv_insertions tsv json json_auspice ndjson fasta_aligned fasta_translation nwk versions

nextclade:

SARS-CoV-2 genome clade assignment, mutation calling, and sequence quality checks

NVIDIA Clara Parabricks GPU-accelerated germline variant calling, replicating deepvariant.

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vcf gvcf versions

parabricks:

NVIDIA Clara Parabricks GPU-accelerated genomics tools

NVIDIA Clara Parabricks GPU-accelerated germline variant calling, replicating GATK haplotypecaller.

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vcf gvcf versions

parabricks:

NVIDIA Clara Parabricks GPU-accelerated genomics tools

NVIDIA Clara Parabricks GPU-accelerated somatic variant calling, replicating GATK Mutect2.

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vcf stats versions

parabricks:

NVIDIA Clara Parabricks GPU-accelerated genomics tools

pbsv/call - PacBio structural variant (SV) calling and analysis tools

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vcf versions

pbsv:

pbsv - PacBio structural variant (SV) calling and analysis tools

pbsv - PacBio structural variant (SV) signature discovery tool

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svsig versions

pbsv:

pbsv - PacBio structural variant (SV) calling and analysis tools

Automatically improve draft assemblies and find variation among strains, including large event detection

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improved_assembly vcf change_record tracks_bed tracks_wig versions

Main caller script for peak calling

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divergent_TREs bidirectional_TREs unidirectional_TREs peakcalling_log versions

pints:

Peak Identifier for Nascent Transcripts Starts (PINTS)

Platypus is a tool that efficiently and accurately calling genetic variants from next-generation DNA sequencing data

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vcf tbi log version

Analyses variant calling files using plink

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bed bim fam versions

plink:

Whole genome association analysis toolset, designed to perform a range of basic, large-scale analyses in a computationally efficient manner

PoolSNP is a heuristic SNP caller, which uses an MPILEUP file and a reference genome in FASTA format as inputs.

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vcf max_cov bad_sites versions

Calculate intervals coverage for each sample. N.B. the tool can not handle staging files with symlinks, stageInMode should be set to 'link'.

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txt png loess_qc_txt loess_txt versions

purecn:

Copy number calling and SNV classification using targeted short read sequencing

Generate on and off-target intervals for PureCN from a list of targets

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txt bed versions

purecn:

Copy number calling and SNV classification using targeted short read sequencing

Build a normal database for coverage normalization from all the (GC-normalized) normal coverage files. N.B. as reported in https://www.bioconductor.org/packages/devel/bioc/vignettes/PureCN/inst/doc/Quick.html, it is advised to provide a normal panel (VCF format) to precompute mapping bias for faster runtimes.

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rds png bias_rds bias_bed low_cov_bed versions

purecn:

Copy number calling and SNV classification using targeted short read sequencing

Run PureCN workflow to normalize, segment and determine purity and ploidy

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pdf local_optima_pdf seg genes_csv amplification_pvalues_csv vcf_gz variants_csv loh_csv chr_pdf segmentation_pdf multisample_seg versions

purecn:

Copy number calling and SNV classification using targeted short read sequencing

Calling lowest common ancestors from multi-mapped reads in SAM/BAM/CRAM files

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csv json bam versions

sam2lca:

Lowest Common Ancestor on SAM/BAM/CRAM alignment files

Accelerated implementation of the Picard CollectVariantCallingMetrics tool.

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metrics summary versions

sentieon:

Sentieonยฎ provides complete solutions for secondary DNA/RNA analysis for a variety of sequencing platforms, including short and long reads. Our software improves upon BWA, STAR, Minimap2, GATK, HaplotypeCaller, Mutect, and Mutect2 based pipelines and is deployable on any generic-CPU-based computing system.

DNAscope algorithm performs an improved version of Haplotype variant calling.

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vcf vcf_tbi gvcf gvcf_tbi versions

sentieon:

Sentieonยฎ provides complete solutions for secondary DNA/RNA analysis for a variety of sequencing platforms, including short and long reads. Our software improves upon BWA, STAR, Minimap2, GATK, HaplotypeCaller, Mutect, and Mutect2 based pipelines and is deployable on any generic-CPU-based computing system.

Runs Sentieon's haplotyper for germline variant calling.

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vcf vcf_tbi gvcf gvcf_tbi versions

sentieon:

Sentieonยฎ provides complete solutions for secondary DNA/RNA analysis for a variety of sequencing platforms, including short and long reads. Our software improves upon BWA, STAR, Minimap2, GATK, HaplotypeCaller, Mutect, and Mutect2 based pipelines and is deployable on any generic-CPU-based computing system.

Tnhaplotyper2 performs somatic variant calling on the tumor-normal matched pairs.

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orientation_data contamination_data contamination_segments stats vcf index versions

sentieon:

Sentieonยฎ provides complete solutions for secondary DNA/RNA analysis for a variety of sequencing platforms, including short and long reads. Our software improves upon BWA, STAR, Minimap2, GATK, HaplotypeCaller, Mutect, and Mutect2 based pipelines and is deployable on any generic-CPU-based computing system.

TNscope algorithm performs somatic variant calling on the tumor-normal matched pair or the tumor only data, using a Haplotyper algorithm.

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vcf index versions

sentieon:

Sentieonยฎ provides complete solutions for secondary DNA/RNA analysis for a variety of sequencing platforms, including short and long reads. Our software improves upon BWA, STAR, Minimap2, GATK, HaplotypeCaller, Mutect, and Mutect2 based pipelines and is deployable on any generic-CPU-based computing system.

smoove simplifies and speeds calling and genotyping SVs for short reads. It also improves specificity by removing many spurious alignment signals that are indicative of low-level noise and often contribute to spurious calls. Developed by Brent Pedersen.

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vcf versions

smoove:

structural variant calling and genotyping with existing tools, but, smoothly

structural-variant calling with sniffles

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vcf tbi snf versions

Core-SNP alignment from Snippy outputs

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aln full_aln tab vcf txt versions

snippy:

Rapid bacterial SNP calling and core genome alignments

Rapid haploid variant calling

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tab csv html vcf bed gff bam bai log aligned_fa consensus_fa consensus_subs_fa raw_vcf filt_vcf vcf_gz vcf_csi txt versions

snippy:

Rapid bacterial SNP calling and core genome alignments

Annotate a VCF file with another VCF file

012012

vcf versions

snpsift:

SnpSift is a toolbox that allows you to filter and manipulate annotated files

The dbNSFP is an integrated database of functional predictions from multiple algorithms

012012

vcf versions

snpsift:

SnpSift is a toolbox that allows you to filter and manipulate annotated files

Strelka2 is a fast and accurate small variant caller optimized for analysis of germline variation

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vcf vcf_tbi genome_vcf genome_vcf_tbi versions

strelka:

Strelka calls somatic and germline small variants from mapped sequencing reads

Strelka2 is a fast and accurate small variant caller optimized for analysis of germline variation in small cohorts and somatic variation in tumor/normal sample pairs

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vcf_indels vcf_indels_tbi vcf_snvs vcf_snvs_tbi versions

strelka:

Strelka calls somatic and germline small variants from mapped sequencing reads

Computes the coverage of different regions from the bam file.

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cov wig versions

tiddit:

TIDDIT - structural variant calling.

The Java port of the VarDict variant caller

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vcf versions

Call variants for a given scenario specified with the varlociraptor calling grammar, preprocessed by varlociraptor preprocessing

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bcf_gz vcf_gz bcf vcf versions

varlociraptor:

Flexible, uncertainty-aware variant calling with parameter free filtration via FDR control.

In order to judge about candidate indel and structural variants, Varlociraptor needs to know about certain properties of the underlying sequencing experiment in combination with the used read aligner.

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alignment_properties_json versions

varlociraptor:

Flexible, uncertainty-aware variant calling with parameter free filtration via FDR control.

Obtains per-sample observations for the actual calling process with varlociraptor calls

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bcf_gz vcf_gz bcf vcf versions

varlociraptor:

Flexible, uncertainty-aware variant calling with parameter free filtration via FDR control.

Constructs a graph from a reference and variant calls or a multiple sequence alignment file

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graph versions

vg:

Variation graph data structures, interchange formats, alignment, genotyping, and variant calling methods.

Deconstruct snarls present in a variation graph in GFA format to variants in VCF format

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vcf versions

vg:

Variation graph data structures, interchange formats, alignment, genotyping, and variant calling methods.

write your description here

01

xg vg_index versions

vg:

Variation graph data structures, interchange formats, alignment, genotyping, and variant calling methods.

The wham suite consists of two programs, wham and whamg. wham, the original tool, is a very sensitive method with a high false discovery rate. The second program, whamg, is more accurate and better suited for general structural variant (SV) discovery.

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vcf tbi graph versions

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