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.

  • bqsr 10
  • base quality score recalibration 9
  • bam 8
  • gatk4 8
  • sort 5
  • sentieon 5
  • genomics 4
  • alignment 4
  • cram 4
  • MSA 4
  • fasta 3
  • fastq 3
  • bacteria 3
  • table 3
  • matrix 3
  • evaluation 3
  • ranking 3
  • genmod 3
  • scores 3
  • score 3
  • clustering 2
  • plot 2
  • gzip 2
  • ucsc 2
  • prediction 2
  • spark 2
  • gatk4spark 2
  • pigz 2
  • find 2
  • varcal 2
  • vcf 1
  • metagenomics 1
  • genome 1
  • assembly 1
  • bed 1
  • annotation 1
  • align 1
  • merge 1
  • map 1
  • variants 1
  • qc 1
  • gtf 1
  • nanopore 1
  • classify 1
  • split 1
  • variant 1
  • convert 1
  • proteomics 1
  • count 1
  • rnaseq 1
  • indexing 1
  • databases 1
  • consensus 1
  • mapping 1
  • openms 1
  • protein sequence 1
  • searching 1
  • filtering 1
  • neural network 1
  • LAST 1
  • plink2 1
  • transcript 1
  • iCLIP 1
  • annotate 1
  • gene 1
  • mmseqs2 1
  • hmmer 1
  • kraken2 1
  • hmmsearch 1
  • dedup 1
  • prokaryote 1
  • duplicates 1
  • bedGraph 1
  • multiple sequence alignment 1
  • profile 1
  • mem 1
  • cat 1
  • concatenate 1
  • FASTQ 1
  • idXML 1
  • deep learning 1
  • bigwig 1
  • fungi 1
  • CLIP 1
  • biosynthetic gene cluster 1
  • BGC 1
  • HiFi 1
  • regions 1
  • genomes 1
  • organelle 1
  • PacBio 1
  • dump 1
  • mitochondrion 1
  • GPU-accelerated 1
  • switch 1
  • evidence 1
  • emboss 1
  • version 1
  • heatmap 1
  • random forest 1
  • immcantation 1
  • airrseq 1
  • immunoinformatics 1
  • plastid 1
  • genepred 1
  • refflat 1
  • gtftogenepred 1
  • readwriter 1
  • confidence 1
  • CRISPRi 1
  • rank 1
  • rna velocity 1
  • selector 1
  • gnu 1
  • coreutils 1
  • generic 1
  • cnnscorevariants 1
  • vqsr 1
  • variant quality score recalibration 1
  • train 1
  • variantrecalibrator 1
  • compound 1
  • recalibration model 1
  • gatherbqsrreports 1
  • custom 1
  • Cores 1
  • Segmentation 1
  • TMA dearray 1
  • UNet 1
  • applyvarcal 1
  • VQSR 1
  • variant recalibration 1
  • core 1
  • snippy 1
  • rRNA 1
  • ribosomal RNA 1
  • scoring 1
  • pbbam 1
  • pbmerge 1
  • index 0
  • reference 0
  • sam 0
  • structural variants 0
  • variant calling 0
  • database 0
  • filter 0
  • gff 0
  • statistics 0
  • coverage 0
  • classification 0
  • quality control 0
  • download 0
  • cnv 0
  • k-mer 0
  • contamination 0
  • taxonomy 0
  • gfa 0
  • taxonomic profiling 0
  • pacbio 0
  • somatic 0
  • conversion 0
  • binning 0
  • quality 0
  • ancient DNA 0
  • VCF 0
  • single-cell 0
  • copy number 0
  • long reads 0
  • imputation 0
  • phylogeny 0
  • trimming 0
  • contigs 0
  • bedtools 0
  • graph 0
  • kmer 0
  • build 0
  • bisulfite 0
  • bcftools 0
  • mags 0
  • sv 0
  • gvcf 0
  • reporting 0
  • variation graph 0
  • isoseq 0
  • methylation 0
  • visualisation 0
  • wgs 0
  • QC 0
  • bisulphite 0
  • methylseq 0
  • picard 0
  • compression 0
  • protein 0
  • long-read 0
  • illumina 0
  • cna 0
  • stats 0
  • tsv 0
  • taxonomic classification 0
  • serotype 0
  • phage 0
  • sequences 0
  • imaging 0
  • 5mC 0
  • metrics 0
  • demultiplex 0
  • depth 0
  • antimicrobial resistance 0
  • samtools 0
  • markduplicates 0
  • repeat 0
  • histogram 0
  • scWGBS 0
  • pairs 0
  • bins 0
  • DNA methylation 0
  • WGBS 0
  • haplotype 0
  • example 0
  • structure 0
  • pangenome graph 0
  • aDNA 0
  • expression 0
  • amr 0
  • cluster 0
  • bisulfite sequencing 0
  • mappability 0
  • transcriptome 0
  • aligner 0
  • completeness 0
  • bwa 0
  • archaeogenomics 0
  • low-coverage 0
  • machine learning 0
  • genotype 0
  • bcf 0
  • seqkit 0
  • cooler 0
  • damage 0
  • phasing 0
  • palaeogenomics 0
  • germline 0
  • virus 0
  • sequence 0
  • validation 0
  • metagenome 0
  • checkm 0
  • db 0
  • biscuit 0
  • decompression 0
  • ncbi 0
  • complexity 0
  • gff3 0
  • feature 0
  • spatial 0
  • newick 0
  • umi 0
  • genotyping 0
  • peaks 0
  • mag 0
  • segmentation 0
  • msa 0
  • blast 0
  • bismark 0
  • mkref 0
  • glimpse 0
  • population genetics 0
  • sketch 0
  • reads 0
  • splicing 0
  • report 0
  • deduplication 0
  • antimicrobial resistance genes 0
  • cnvkit 0
  • tumor-only 0
  • pangenome 0
  • single 0
  • demultiplexing 0
  • low frequency variant calling 0
  • plasmid 0
  • mitochondria 0
  • scRNA-seq 0
  • json 0
  • snp 0
  • kmers 0
  • differential 0
  • short-read 0
  • NCBI 0
  • csv 0
  • vsearch 0
  • extract 0
  • antimicrobial peptides 0
  • mirna 0
  • ont 0
  • ptr 0
  • diversity 0
  • riboseq 0
  • call 0
  • antibiotic resistance 0
  • clipping 0
  • sourmash 0
  • benchmark 0
  • MAF 0
  • 3-letter genome 0
  • wxs 0
  • counts 0
  • structural 0
  • coptr 0
  • svtk 0
  • indels 0
  • isolates 0
  • de novo assembly 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
  • text 0
  • microbiome 0
  • fragment 0
  • summary 0
  • interval 0
  • single cell 0
  • merging 0
  • tabular 0
  • reference-free 0
  • arg 0
  • kallisto 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
  • haplotypecaller 0
  • cut 0
  • resistance 0
  • ATAC-seq 0
  • rna 0
  • read depth 0
  • interval_list 0
  • bin 0
  • preprocessing 0
  • ccs 0
  • dna 0
  • diamond 0
  • circrna 0
  • DNA sequencing 0
  • mtDNA 0
  • ampir 0
  • family 0
  • bedgraph 0
  • chunk 0
  • happy 0
  • targeted sequencing 0
  • logratio 0
  • propr 0
  • fgbio 0
  • ancestry 0
  • chromosome 0
  • normalization 0
  • peak-calling 0
  • matching 0
  • fai 0
  • abundance 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
  • phylogenetic placement 0
  • clean 0
  • public datasets 0
  • xeniumranger 0
  • quantification 0
  • parsing 0
  • image 0
  • STR 0
  • bcl2fastq 0
  • hmmcopy 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
  • bim 0
  • replace 0
  • fam 0
  • fastk 0
  • PCA 0
  • fingerprint 0
  • fcs-gx 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
  • covid 0
  • pan-genome 0
  • pairsam 0
  • prokaryotes 0
  • angsd 0
  • reports 0
  • krona 0
  • mkfastq 0
  • aln 0
  • bwameth 0
  • mapper 0
  • npz 0
  • windowmasker 0
  • amplicon sequences 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
  • remove 0
  • converter 0
  • intervals 0
  • genome assembly 0
  • mzml 0
  • chimeras 0
  • comparisons 0
  • combine 0
  • comparison 0
  • quality trimming 0
  • adapter trimming 0
  • popscle 0
  • pileup 0
  • genotype-based deconvoltion 0
  • bamtools 0
  • variant_calling 0
  • bracken 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
  • wastewater 0
  • virulence 0
  • cut up 0
  • miRNA 0
  • tabix 0
  • cool 0
  • krona chart 0
  • dist 0
  • lossless 0
  • observations 0
  • pseudoalignment 0
  • shapeit 0
  • CRISPR 0
  • khmer 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
  • lofreq 0
  • profiles 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
  • 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
  • salmon 0
  • tnhaplotyper2 0
  • rgfa 0
  • small variants 0
  • multiallelic 0
  • nucleotides 0
  • cnvnator 0
  • proportionality 0
  • orf 0
  • leviosam2 0
  • lift 0
  • metamaps 0
  • registration 0
  • join 0
  • RNA sequencing 0
  • trgt 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
  • ancient dna 0
  • Streptococcus pneumoniae 0
  • sequenzautils 0
  • transformation 0
  • rename 0
  • salmonella 0
  • smrnaseq 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
  • deconvolution 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
  • metagenomic 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
  • antibiotics 0
  • antismash 0
  • filtermutectcalls 0
  • RNA-Seq 0
  • simulate 0
  • artic 0
  • interval list 0
  • aggregate 0
  • tbi 0
  • gwas 0
  • CNV 0
  • sra-tools 0
  • settings 0
  • BAM 0
  • blastn 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
  • deseq2 0
  • metagenomes 0
  • rna-seq 0
  • intersection 0
  • windows 0
  • region 0
  • sizes 0
  • spatial_omics 0
  • bases 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
  • 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
  • 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
  • vsearch/sort 0
  • domains 0
  • vcf2db 0
  • downsample bam 0
  • long read alignment 0
  • umicollapse 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
  • 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
  • blat 0
  • alr 0
  • clr 0
  • Salmonella enterica 0
  • boxcox 0
  • sorted 0
  • Escherichia coli 0
  • assembly polishing 0
  • propd 0
  • copyratios 0
  • postprocessing 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
  • taxonomic composition 0
  • poolseq 0
  • variant-calling 0
  • stardist 0
  • telseq 0
  • vsearch/dereplicate 0
  • vsearch/fastqfilter 0
  • ATACseq 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
  • 16S 0
  • bclconvert 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
  • biological activity 0
  • bamtools/split 0
  • prior knowledge 0
  • tag 0
  • cell_barcodes 0
  • mygene 0
  • go 0
  • yaml 0
  • bamtools/convert 0
  • shuffleBed 0
  • mouse 0
  • scimap 0
  • SNV 0
  • bigbed 0
  • Indel 0
  • host removal 0
  • haploype 0
  • bacphlip 0
  • virulent 0
  • nanopore sequencing 0
  • cobra 0
  • extension 0
  • grea 0
  • Bayesian 0
  • spatial_neighborhoods 0
  • 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
  • cell_phenotyping 0
  • 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
  • translation 0
  • nanoq 0
  • realign 0
  • ribosomal 0
  • 10x 0
  • background 0
  • single-stranded 0
  • regulatory network 0
  • ancientDNA 0
  • transcription factors 0
  • paraphase 0
  • cram-size 0
  • size 0
  • quality check 0
  • circular 0
  • bwameme 0
  • spot 0
  • orthogroup 0
  • authentict 0
  • sage 0
  • contiguate 0
  • 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
  • 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
  • bedtobigbed 0
  • detecting svs 0
  • bedgraphtobigwig 0
  • megahit 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
  • bedtointervallist 0
  • denovo 0
  • debruijn 0
  • asereadcounter 0
  • daa 0
  • rma6 0
  • Neisseria meningitidis 0
  • 3D heat map 0
  • contour map 0
  • Merqury 0
  • annotateintervals 0
  • targets 0
  • smudgeplot 0
  • mash/sketch 0
  • taxonomic assignment 0
  • metaphlan 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
  • lofreq/filter 0
  • qualities 0
  • AMP 0
  • dragstr 0
  • collectreadcounts 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
  • 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
  • UShER 0
  • bootstrapping 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
  • 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
  • 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
  • archaea 0
  • genome size 0
  • gunc 0
  • gunzip 0
  • models 0
  • gvcftools 0
  • Hidden Markov Model 0
  • annotations 0
  • spliced 0
  • pneumoniae 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
  • Klebsiella 0
  • panelofnormalscreation 0
  • papermill 0
  • kegg 0
  • kofamscan 0
  • jointgenotyping 0
  • combining 0
  • genomicsdbimport 0
  • genomicsdb 0
  • tranche filtering 0
  • filtervarianttranches 0
  • filterintervals 0
  • estimatelibrarycomplexity 0
  • duplication metrics 0
  • reorder 0
  • readorientationartifacts 0
  • jupytext 0
  • shiftchain 0
  • probability_maps 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
  • pixel_classification 0
  • reblockgvcf 0
  • Jupyter 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
  • Python 0
  • flip 0
  • ligation junctions 0
  • duplicate removal 0
  • sex determination 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
  • genetic sex 0
  • cls 0
  • relative coverage 0
  • rare variants 0
  • error 0
  • de-novo 0
  • longread 0
  • sha256 0
  • 256 bit 0
  • shinyngs 0
  • exploratory 0
  • sertotype 0
  • sequence headers 0
  • density 0
  • cluster analysis 0
  • cumulative coverage 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
  • scramble 0
  • clusteridentifier 0
  • grep 0
  • peak-caller 0
  • cut&tag 0
  • cut&run 0
  • chromatin 0
  • seacr 0
  • pcr duplicates 0
  • assembly-binning 0
  • cutesv 0
  • gct 0
  • subseq 0
  • boxplot 0
  • features 0
  • amplicon 0
  • rdtest 0
  • spa 0
  • streptococcus 0
  • sccmec 0
  • variantcalling 0
  • cmseq 0
  • protein coding genes 0
  • Sample 0
  • short-read sequencing 0
  • polymorphic sites 0
  • svtk/baftest 0
  • baftest 0
  • countsvtypes 0
  • rdtest2vcf 0
  • polymorphic 0
  • access 0
  • vcf2bed 0
  • decompress 0
  • polymut 0
  • polya tail 0
  • fast5 0
  • chromosome_visualization 0
  • Mycobacterium tuberculosis 0
  • chromosomal rearrangements 0
  • eucaryotes 0
  • coding 0
  • cds 0
  • transcroder 0
  • sequencing adapters 0
  • spatype 0
  • antitarget 0
  • mcool 0
  • cooler/balance 0
  • sliding window 0
  • genomic bins 0
  • makebins 0
  • CRAM 0
  • SMN1 0
  • SMN2 0
  • POA 0
  • sniffles 0
  • enzyme 0
  • digest 0
  • cload 0
  • subcontigs 0
  • fracminhash sketch 0
  • dbnsfp 0
  • predictions 0
  • nucleotide composition 0
  • SNPs 0
  • invariant 0
  • constant 0
  • concoct 0
  • partition histograms 0
  • target 0
  • export 0
  • signatures 0
  • hash sketch 0
  • ampliconclip 0
  • duplicate marking 0
  • pairtools 0
  • antibiotic resistance genes 0
  • insertions 0
  • tandem duplications 0
  • CoPRO 0
  • GRO-cap 0
  • PRO-cap 0
  • CAGE 0
  • NETCAGE 0
  • RAMPAGE 0
  • csRNA-seq 0
  • STRIPE-seq 0
  • PRO-seq 0
  • GRO-seq 0
  • genetic 0
  • faqcs 0
  • sortvcf 0
  • str 0
  • exclude 0
  • variant identifiers 0
  • indep 0
  • indep pairwise 0
  • recode 0
  • whole genome association 0
  • cache 0
  • identifiers 0
  • percent on target 0
  • variant genetic 0
  • pmdtools 0
  • deletions 0
  • picard/renamesampleinvcf 0
  • endogenous DNA 0
  • read 0
  • pairstools 0
  • restriction fragments 0
  • select 0
  • duplexumi 0
  • consensus sequence 0
  • public 0
  • paragraph 0
  • graphs 0
  • subreads 0
  • pbp 0
  • pair-end 0
  • pedigrees 0
  • pcr 0
  • ENA 0
  • SRA 0
  • motif 0
  • ChIP-Seq 0
  • phantom peaks 0
  • prophage 0
  • identification 0
  • illumina datasets 0
  • phylogenetic composition 0
  • ANI 0
  • ARGs 0
  • hybrid-selection 0
  • mate-pair 0
  • liftovervcf 0
  • porechop_abi 0
  • Streptococcus pyogenes 0
  • sambamba 0
  • segment 0
  • rhocall 0
  • escherichia coli 0
  • R 0
  • depth information 0
  • bamstat 0
  • structural variation 0
  • strandedness 0
  • experiment 0
  • read_pairs 0
  • fragment_size 0
  • inner_distance 0
  • duphold 0
  • read distribution 0
  • sequence-based 0
  • subsampling 0
  • mapping-based 0
  • blastx 0
  • integrity 0
  • rtg 0
  • pedfilter 0
  • rocplot 0
  • rtg-tools 0
  • salsa 0
  • salsa2 0
  • LCA 0
  • Ancestor 0
  • multimapper 0
  • flagstat 0
  • long uncorrected reads 0
  • neighbour-joining 0
  • swissprot 0
  • genomic intervals 0
  • genbank 0
  • embl 0
  • contact 0
  • pretext 0
  • jpg 0
  • bmp 0
  • contact maps 0
  • gene finding 0
  • split by chromosome 0
  • intervals coverage 0
  • deletion 0
  • circos 0
  • eklipse 0
  • normal database 0
  • PEP 0
  • panel of normals 0
  • cutoff 0
  • eigenstratdatabasetools 0
  • haplotype purging 0
  • duplicate purging 0
  • false duplications 0
  • assembly curation 0
  • Haplotype purging 0
  • False duplications 0
  • Assembly curation 0
  • pep 0
  • schema 0
  • purging 0
  • quast 0
  • data-download 0

Calculate confidence scores from Kraken2 output

010

score versions

Great....yet another TMA dearray program. What does this one do? Coreograph uses UNet, a deep learning model, to identify complete/incomplete tissue cores on a tissue microarray. It has been trained on 9 TMA slides of different sizes and tissue types.

01

cores masks tma_map centroids versions

Custom module used to dump software versions within the nf-core pipeline template

0

yml mqc_yml versions

custom:

Custom module used to dump software versions within the nf-core pipeline template

DeepBGC detects BGCs in bacterial and fungal genomes using deep learning.

010

readme log json bgc_gbk bgc_tsv full_gbk pfam_tsv bgc_png pr_png roc_png score_png versions

deepbgc:

DeepBGC - Biosynthetic Gene Cluster detection and classification

calculates scores per genome regions for other deeptools plotting utilities

010

matrix table versions

deeptools:

A set of user-friendly tools for normalization and visualization of deep-sequencing data

plots values produced by deeptools_computematrix as a heatmap

01

pdf table versions

deeptools:

A set of user-friendly tools for normalization and visualization of deep-sequencing data

plots values produced by deeptools_computematrix as a profile plot

01

pdf table versions

deeptools:

A set of user-friendly tools for normalization and visualization of deep-sequencing data

cons calculates a consensus sequence from a multiple sequence alignment. To obtain the consensus, the sequence weights and a scoring matrix are used to calculate a score for each amino acid residue or nucleotide at each position in the alignment.

01

consensus versions

emboss:

The European Molecular Biology Open Software Suite

A program that counts sequence occurrences in FASTQ files.

0101

count_matrix stats distribution_plot reads_plot reads_plot_percentage versions

2FAST2Q:

2FAST2Q is ideal for CRISPRi-Seq, and for extracting and counting any kind of information from reads in the fastq format, such as barcodes in Bar-seq experiments. 2FAST2Q can work with sequence mismatches, Phred-score, and be used to find and extract unknown sequences delimited by known sequences. 2FAST2Q can extract multiple features per read using either fixed positions or delimiting search sequences.

A module for concatenation of gzipped or uncompressed files getting around UNIX terminal argument size

01

file_out versions

find:

GNU find searches the directory tree rooted at each given starting-point by evaluating the given expression

pigz:

pigz, which stands for Parallel Implementation of GZip, is a fully functional replacement for gzip that exploits multiple processors and multiple cores to the hilt when compressing data.

A module for decompressing a large number of gzipped files, getting around the UNIX terminal argument limit

01

file_out versions

find:

GNU find searches the directory tree rooted at each given starting-point by evaluating the given expression

pigz:

pigz, which stands for Parallel Implementation of GZip, is a fully functional replacement for gzip that exploits multiple processors and multiple cores to the hilt when compressing data.

Apply base quality score recalibration (BQSR) to a bam file

01234000

bam cram versions

gatk4:

Developed in the Data Sciences Platform at the Broad Institute, the toolkit offers a wide variety of tools with a primary focus on variant discovery and genotyping. Its powerful processing engine and high-performance computing features make it capable of taking on projects of any size.

Apply base quality score recalibration (BQSR) to a bam file

metainputinput_indexbqsr_tableintervalsfastafaidict

meta versions bam cram

gatk4:

Developed in the Data Sciences Platform at the Broad Institute, the toolkit offers a wide variety of tools with a primary focus on variant discovery and genotyping. Its powerful processing engine and high-performance computing features make it capable of taking on projects of any size.

Apply a score cutoff to filter variants based on a recalibration table. AplyVQSR performs the second pass in a two-stage process called Variant Quality Score Recalibration (VQSR). Specifically, it applies filtering to the input variants based on the recalibration table produced in the first step by VariantRecalibrator and a target sensitivity value.

012345000

vcf tbi versions

gatk4:

Developed in the Data Sciences Platform at the Broad Institute, the toolkit offers a wide variety of tools with a primary focus on variant discovery and genotyping. Its powerful processing engine and high-performance computing features make it capable of taking on projects of any size.

Generate recalibration table for Base Quality Score Recalibration (BQSR)

01230101010101

table versions

gatk4:

Developed in the Data Sciences Platform at the Broad Institute, the toolkit offers a wide variety of tools with a primary focus on variant discovery and genotyping. Its powerful processing engine and high-performance computing features make it capable of taking on projects of any size.

Generate recalibration table for Base Quality Score Recalibration (BQSR)

metainputinput_indexintervalsfastafaidictknown_sitesknown_sites_tbi

meta versions table

gatk4:

Developed in the Data Sciences Platform at the Broad Institute, the toolkit offers a wide variety of tools with a primary focus on variant discovery and genotyping. Its powerful processing engine and high-performance computing features make it capable of taking on projects of any size.

Apply a Convolutional Neural Net to filter annotated variants

0123400000

vcf tbi versions

gatk4:

Developed in the Data Sciences Platform at the Broad Institute, the toolkit offers a wide variety of tools with a primary focus on variant discovery and genotyping. Its powerful processing engine and high-performance computing features make it capable of taking on projects of any size.

Gathers scattered BQSR recalibration reports into a single file

01

table versions

gatk4:

Genome Analysis Toolkit (GATK4)

Build a recalibration model to score variant quality for filtering purposes. It is highly recommended to follow GATK best practices when using this module, the gaussian mixture model requires a large number of samples to be used for the tool to produce optimal results. For example, 30 samples for exome data. For more details see https://gatk.broadinstitute.org/hc/en-us/articles/4402736812443-Which-training-sets-arguments-should-I-use-for-running-VQSR-

012000000

recal idx tranches plots versions

gatk4:

Developed in the Data Sciences Platform at the Broad Institute, the toolkit offers a wide variety of tools with a primary focus on variant discovery and genotyping. Its powerful processing engine and high-performance computing features make it capable of taking on projects of any size.

Apply base quality score recalibration (BQSR) to a bam file

01234000

bam cram versions

gatk4:

Developed in the Data Sciences Platform at the Broad Institute, the toolkit offers a wide variety of tools with a primary focus on variant discovery and genotyping. Its powerful processing engine and high-performance computing features make it capable of taking on projects of any size.

Generate recalibration table for Base Quality Score Recalibration (BQSR)

012300000

table versions

gatk4:

Developed in the Data Sciences Platform at the Broad Institute, the toolkit offers a wide variety of tools with a primary focus on variant discovery and genotyping. Its powerful processing engine and high-performance computing features make it capable of taking on projects of any size.

for annotating regions, frequencies, cadd scores

01

vcf versions

genmod:

Annotate genetic inheritance models in variant files

Score compounds

01

vcf versions

genmod:

Annotate genetic inheritance models in variant files

Score the variants of a vcf based on their annotation

0120

vcf versions

genmod:

Annotate genetic inheritance models in variant files

Split a file into consecutive or interleaved sections

01

split versions

gnu:

The GNU Core Utilities are the basic file, shell and text manipulation utilities of the GNU operating system. These are the core utilities which are expected to exist on every operating system.

R script that scores output from multiple runs of hmmer/hmmsearch

01

hmmrank versions

hmmer:

Biosequence analysis using profile hidden Markov models

R:

A Language and Environment for Statistical Computing

Tidyverse:

Tidyverse: R packages for data science

Runs iCount sigxls on a BED file of crosslinks

010

sigxls scores versions

icount:

Computational pipeline for analysis of iCLIP data

Find suitable score parameters for sequence alignment

010

param_file multiqc versions

last:

LAST finds & aligns related regions of sequences.

Search and calculate a score for similar sequences in a query and a target database.

0101

db_search versions

mmseqs:

MMseqs2: ultra fast and sensitive sequence search and clustering suite

Compare multiple runs of long read sequencing data and alignments

01

report_html lengths_violin_html log_length_violin_html n50_html number_of_reads_html overlay_histogram_html overlay_histogram_normalized_html overlay_log_histogram_html overlay_log_histogram_normalized_html total_throughput_html quals_violin_html overlay_histogram_identity_html overlay_histogram_phredscore_html percent_identity_violin_html active_pores_over_time_html cumulative_yield_plot_gigabases_html sequencing_speed_over_time_html stats_txt versions

An nf-core module for the OATK

010123401234

mito_fasta pltd_fasta mito_bed pltd_bed mito_gfa pltd_gfa annot_mito_txt annot_pltd_txt clean_gfa final_gfa initial_gfa multiplex_gfa unzip_gfa versions

Switches between different scores of peptide or protein hits in identification data

01

idxml versions

openms:

OpenMS is an open-source software C++ library for LC-MS data management and analyses

NVIDIA Clara Parabricks GPU-accelerated apply Base Quality Score Recalibration (BQSR).

0101010101

bam bai versions

parabricks:

NVIDIA Clara Parabricks GPU-accelerated genomics tools

NVIDIA Clara Parabricks GPU-accelerated alignment, sorting, BQSR calculation, and duplicate marking. Note this nf-core module requires files to be copied into the working directory and not symlinked.

01010101010

bam bai cram crai bqsr_table qc_metrics duplicate_metrics versions

parabricks:

NVIDIA Clara Parabricks GPU-accelerated genomics tools

The pbbam software package provides components to create, query, & edit PacBio BAM files and associated indices. These components include a core C++ library, bindings for additional languages, and command-line utilities.

01

bam pbi versions

pbbam:

PacBio BAM C++ library

Apply a scoring system to each sample in a plink 2 fileset

01230

score versions

plink2:

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

Filter reads by quality score.

01

reads logs versions log_tab

presto:

A bioinformatics toolkit for processing high-throughput lymphocyte receptor sequencing data.

Pyrodigal is a Python module that provides bindings to Prodigal, a fast, reliable protein-coding gene prediction for prokaryotic genomes.

010

annotations fna faa score versions

Apply a score cutoff to filter variants based on a recalibration table. Sentieon's Aplyvarcal performs the second pass in a two-stage process called Variant Quality Score Recalibration (VQSR). Specifically, it applies filtering to the input variants based on the recalibration table produced in the previous step VarCal and a target sensitivity value. https://support.sentieon.com/manual/usages/general/#applyvarcal-algorithm

0123450101

vcf 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 the sentieon tool LocusCollector followed by Dedup. LocusCollector collects read information that is used by Dedup which in turn marks or removes duplicate reads.

0120101

cram crai bam bai score metrics metrics_multiqc_tsv 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.

Generate recalibration table and optionally perform base quality recalibration

01201010101010

table table_post recal_alignment csv pdf 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.

Merges BAM files, and/or convert them into cram files. Also, outputs the result of applying the Base Quality Score Recalibration to a file.

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output index output_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.

Module for Sentieons VarCal. The VarCal algorithm calculates the Variant Quality Score Recalibration (VQSR). VarCal builds a recalibration model for scoring variant quality. https://support.sentieon.com/manual/usages/general/#varcal-algorithm

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recal idx tranches plots 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.

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

Local sequence alignment tool for filtering, mapping and clustering.

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reads log index versions

SortMeRNA:

The core algorithm is based on approximate seeds and allows for sensitive analysis of NGS reads. The main application of SortMeRNA is filtering rRNA from metatranscriptomic data. SortMeRNA takes as input files of reads (fasta, fastq, fasta.gz, fastq.gz) and one or multiple rRNA database file(s), and sorts apart aligned and rejected reads into two files. Additional applications include clustering and taxonomy assignation available through QIIME v1.9.1. SortMeRNA works with Illumina, Ion Torrent and PacBio data, and can produce SAM and BLAST-like alignments.

Compares 2 alternative MSAs to evaluate them.

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scores versions

tcoffee:

A collection of tools for Multiple Alignments of DNA, RNA, Protein Sequence

pigz:

Parallel implementation of the gzip algorithm.

Computes the irmsd score for a given alignment and the structures.

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irmsd versions

tcoffee:

A collection of tools for Multiple Alignments of DNA, RNA, Protein Sequence

pigz:

Parallel implementation of the gzip algorithm.

Compute the TCS score for a MSA or for a MSA plus a library file. Outputs the tcs as it is and a csv with just the total TCS score.

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tcs scores versions

tcoffee:

A collection of tools for Multiple Alignments of DNA, RNA, Protein Sequence

pigz:

Parallel implementation of the gzip algorithm.

Transcript Selector for BRAKER TSEBRA combines gene predictions by selecting transcripts based on their extrisic evidence support

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tsebra_gtf tsebra_scores versions

compute average score of bigwig over bed file

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tab versions

ucsc:

Compute average score of big wig over each bed, which may have introns.

compute average score of bigwig over bed file

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genepred refflat versions

ucsc:

Convert GTF files to GenePred format

Velocyto is a library for the analysis of RNA velocity. velocyto.py CLI use Path(resolve_path=True) and breaks the nextflow logic of symbolic links. If in the work dir velocyto find a file named EXACTLY cellsorted_[ORIGINAL_BAM_NAME] it will skip the samtools sort step. Cellsorted bam file should be cell sorted with:

    samtools sort -t CB -O BAM -o cellsorted_input.bam input.bam

See module test for an example with the SAMTOOLS_SORT nf-core module. Config example to cellsort input bam using SAMTOOLS_SORT:

    withName: SAMTOOLS_SORT {
        ext.prefix = { "cellsorted_${bam.baseName}" }
        ext.args = '-t CB -O BAM'
    }

Optional mask must be passed with ext.args and option --mask This is why I need to stage in the work dir 2 bam files (cellsorted and original). See also velocyto tutorial

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loom versions

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