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.

  • copy number 8
  • cnvkit 6
  • fasta 5
  • genome 4
  • prokaryote 4
  • pypgx 4
  • bam 3
  • genomics 3
  • assembly 3
  • quality control 3
  • cnv 3
  • chimeras 3
  • reference 2
  • annotation 2
  • download 2
  • count 2
  • riboseq 2
  • notebook 2
  • reports 2
  • orf 2
  • Pharmacogenetics 2
  • pharmacogenetics 2
  • cvnkit 2
  • vcf 1
  • metagenomics 1
  • bed 1
  • sort 1
  • database 1
  • filter 1
  • variants 1
  • gtf 1
  • variant 1
  • single-cell 1
  • databases 1
  • imaging 1
  • validation 1
  • checkm 1
  • genotyping 1
  • profile 1
  • prediction 1
  • scRNA-seq 1
  • kallisto 1
  • summary 1
  • SV 1
  • PacBio 1
  • wig 1
  • population genomics 1
  • png 1
  • bustools 1
  • instrain 1
  • differential expression 1
  • mitochondrion 1
  • microscopy 1
  • spatial_omics 1
  • htseq 1
  • quarto 1
  • python 1
  • r 1
  • chloroplast 1
  • controlstatistics 1
  • logFC 1
  • significance statistic 1
  • p-value 1
  • scimap 1
  • spatial_neighborhoods 1
  • background_correction 1
  • illumiation_correction 1
  • gget 1
  • gunc 1
  • jupytext 1
  • papermill 1
  • Jupyter 1
  • Python 1
  • antitarget 1
  • chromosome_visualization 1
  • access 1
  • target 1
  • export 1
  • fastq 0
  • index 0
  • alignment 0
  • gatk4 0
  • cram 0
  • sam 0
  • structural variants 0
  • variant calling 0
  • align 0
  • merge 0
  • gff 0
  • bacteria 0
  • map 0
  • statistics 0
  • coverage 0
  • qc 0
  • classification 0
  • nanopore 0
  • classify 0
  • split 0
  • k-mer 0
  • MSA 0
  • contamination 0
  • taxonomy 0
  • gfa 0
  • taxonomic profiling 0
  • pacbio 0
  • sentieon 0
  • somatic 0
  • conversion 0
  • convert 0
  • proteomics 0
  • binning 0
  • clustering 0
  • quality 0
  • ancient DNA 0
  • VCF 0
  • long reads 0
  • imputation 0
  • rnaseq 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
  • indexing 0
  • visualisation 0
  • wgs 0
  • QC 0
  • bisulphite 0
  • methylseq 0
  • picard 0
  • compression 0
  • protein 0
  • bqsr 0
  • long-read 0
  • illumina 0
  • cna 0
  • table 0
  • consensus 0
  • stats 0
  • tsv 0
  • taxonomic classification 0
  • serotype 0
  • phage 0
  • sequences 0
  • 5mC 0
  • metrics 0
  • mapping 0
  • demultiplex 0
  • depth 0
  • openms 0
  • antimicrobial resistance 0
  • DNA methylation 0
  • markduplicates 0
  • base quality score recalibration 0
  • protein sequence 0
  • repeat 0
  • histogram 0
  • searching 0
  • scWGBS 0
  • pairs 0
  • bins 0
  • samtools 0
  • WGBS 0
  • haplotype 0
  • example 0
  • filtering 0
  • structure 0
  • pangenome graph 0
  • matrix 0
  • aDNA 0
  • plot 0
  • expression 0
  • neural network 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
  • machine learning 0
  • genotype 0
  • bcf 0
  • seqkit 0
  • cooler 0
  • damage 0
  • phasing 0
  • palaeogenomics 0
  • gzip 0
  • germline 0
  • iCLIP 0
  • annotate 0
  • virus 0
  • sequence 0
  • gene 0
  • mmseqs2 0
  • metagenome 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
  • bismark 0
  • mkref 0
  • glimpse 0
  • population genetics 0
  • hmmsearch 0
  • dedup 0
  • sketch 0
  • pangenome 0
  • reads 0
  • json 0
  • demultiplexing 0
  • mitochondria 0
  • plasmid 0
  • snp 0
  • report 0
  • differential 0
  • multiple sequence alignment 0
  • low frequency variant calling 0
  • antimicrobial peptides 0
  • bedGraph 0
  • short-read 0
  • deduplication 0
  • kmers 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
  • mutect2 0
  • arg 0
  • ont 0
  • fragment 0
  • call 0
  • MAF 0
  • sourmash 0
  • counts 0
  • indels 0
  • svtk 0
  • structural 0
  • coptr 0
  • wxs 0
  • antibiotic resistance 0
  • de novo assembly 0
  • compare 0
  • idXML 0
  • adapters 0
  • profiling 0
  • microbiome 0
  • mpileup 0
  • reference-free 0
  • 3-letter genome 0
  • clipping 0
  • merging 0
  • query 0
  • gridss 0
  • view 0
  • ccs 0
  • family 0
  • bedpe 0
  • malt 0
  • preprocessing 0
  • ngscheckmate 0
  • genome assembler 0
  • matching 0
  • fai 0
  • bigwig 0
  • read depth 0
  • ampir 0
  • fungi 0
  • peak-calling 0
  • CLIP 0
  • dna 0
  • diamond 0
  • circrna 0
  • rna 0
  • microarray 0
  • normalization 0
  • bin 0
  • ganon 0
  • ATAC-seq 0
  • add 0
  • microsatellite 0
  • union 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
  • haplotypecaller 0
  • resistance 0
  • HMM 0
  • enrichment 0
  • chromosome 0
  • gsea 0
  • logratio 0
  • happy 0
  • STR 0
  • hybrid capture sequencing 0
  • HiFi 0
  • copy number alteration calling 0
  • chunk 0
  • biosynthetic gene cluster 0
  • bcl2fastq 0
  • propr 0
  • hmmcopy 0
  • image 0
  • DNA sequencing 0
  • umitools 0
  • parsing 0
  • quantification 0
  • BGC 0
  • public datasets 0
  • clean 0
  • ranking 0
  • phylogenetic placement 0
  • xeniumranger 0
  • targeted sequencing 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
  • structural_variants 0
  • C to T 0
  • DRAMP 0
  • das_tool 0
  • angsd 0
  • insert 0
  • fam 0
  • bim 0
  • fusion 0
  • SNP 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
  • polishing 0
  • indel 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
  • cellranger 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
  • complement 0
  • roh 0
  • transcripts 0
  • organelle 0
  • remove 0
  • converter 0
  • intervals 0
  • genome assembly 0
  • gatk4spark 0
  • mzml 0
  • comparisons 0
  • combine 0
  • comparison 0
  • quality trimming 0
  • score 0
  • adapter trimming 0
  • popscle 0
  • pileup 0
  • genotype-based deconvoltion 0
  • bamtools 0
  • variant_calling 0
  • bracken 0
  • hidden Markov model 0
  • archiving 0
  • minimap2 0
  • sylph 0
  • amplicon sequencing 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
  • observations 0
  • shapeit 0
  • khmer 0
  • CRISPR 0
  • krona 0
  • prefetch 0
  • spaceranger 0
  • wastewater 0
  • atac-seq 0
  • tabix 0
  • ambient RNA removal 0
  • chip-seq 0
  • ligate 0
  • cfDNA 0
  • uLTRA 0
  • gstama 0
  • profiles 0
  • ichorcna 0
  • mash 0
  • tama 0
  • pigz 0
  • refine 0
  • resolve_bioscience 0
  • gene set 0
  • trancriptome 0
  • gene set analysis 0
  • spatial_transcriptomics 0
  • lofreq 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
  • pair 0
  • long terminal repeat 0
  • trgt 0
  • cgMLST 0
  • regression 0
  • taxids 0
  • SimpleAF 0
  • taxon name 0
  • zlib 0
  • variation 0
  • vg 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
  • tnhaplotyper2 0
  • rgfa 0
  • small variants 0
  • multiallelic 0
  • nucleotides 0
  • cnvnator 0
  • proportionality 0
  • leviosam2 0
  • lift 0
  • metamaps 0
  • registration 0
  • mirdeep2 0
  • cancer genomics 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
  • nextclade 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
  • snpsift 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
  • 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
  • runs_of_homozygosity 0
  • polish 0
  • taxonomic profile 0
  • assembly evaluation 0
  • concordance 0
  • duplex 0
  • deconvolution 0
  • bayesian 0
  • merge mate pairs 0
  • reads merging 0
  • short reads 0
  • xenograft 0
  • graft 0
  • unaligned 0
  • fetch 0
  • realignment 0
  • GEO 0
  • trim 0
  • metagenomic 0
  • identifier 0
  • expansionhunterdenovo 0
  • repeat_expansions 0
  • metadata 0
  • tab 0
  • microbial 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
  • concat 0
  • tbi 0
  • gwas 0
  • CNV 0
  • sra-tools 0
  • settings 0
  • BAM 0
  • blastn 0
  • version 0
  • correction 0
  • calling 0
  • cnv calling 0
  • immunoprofiling 0
  • structural-variant calling 0
  • estimation 0
  • vdj 0
  • single cells 0
  • genome bins 0
  • recombination 0
  • eCLIP 0
  • splice 0
  • parse 0
  • fasterq-dump 0
  • awk 0
  • intersect 0
  • intersection 0
  • normalize 0
  • norm 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
  • random forest 0
  • allele 0
  • UMIs 0
  • gem 0
  • ChIP-seq 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
  • sorting 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
  • tnseq 0
  • homozygous genotypes 0
  • decoy 0
  • heterozygous genotypes 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
  • masking 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
  • deep variant 0
  • variancepartition 0
  • mutect 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
  • BCF 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
  • mkvdjref 0
  • construct 0
  • graph projection to vcf 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
  • snv 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
  • tnscope 0
  • copyratios 0
  • comp 0
  • denoisereadcounts 0
  • readwriter 0
  • dnamodelapply 0
  • dnascope 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
  • 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
  • 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
  • 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
  • poolseq 0
  • variant-calling 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
  • atlas 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
  • elfasta 0
  • elprep 0
  • doublet 0
  • patterns 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
  • scvi 0
  • solo 0
  • import segmentation 0
  • redundant 0
  • hmmpress 0
  • identity-by-descent 0
  • go 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
  • Indel 0
  • grea 0
  • seqfu 0
  • multi-tool 0
  • predict 0
  • hardy-weinberg 0
  • hwe statistics 0
  • hwe equilibrium 0
  • reference-independent 0
  • genotype likelihood 0
  • collapse 0
  • liftover 0
  • probabilistic realignment 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
  • targets 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
  • lofreq/call 0
  • lofreq/filter 0
  • qualities 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
  • gene-calling 0
  • target prediction 0
  • mitochondrial genome 0
  • reference genome 0
  • gamma 0
  • UShER 0
  • mosdepth 0
  • mitochondrial to nuclear ratio 0
  • otu table 0
  • bacterial variant calling 0
  • germline variant calling 0
  • somatic variant calling 0
  • variant caller 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
  • joint-variant-calling 0
  • GNU 0
  • merge compare 0
  • genomes on a tree 0
  • low coverage 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
  • 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
  • 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
  • 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
  • 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
  • cutesv 0
  • VQSR 0
  • variant recalibration 0
  • gct 0
  • exploratory 0
  • density 0
  • sambamba 0
  • rdtest2vcf 0
  • spatype 0
  • spa 0
  • streptococcus 0
  • sccmec 0
  • variantcalling 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
  • polymorphic 0
  • vcf2bed 0
  • decompress 0
  • polymut 0
  • polya tail 0
  • fast5 0
  • Mycobacterium tuberculosis 0
  • chromosomal rearrangements 0
  • eucaryotes 0
  • coding 0
  • cds 0
  • transcroder 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
  • sniffles 0
  • core 0
  • snippy 0
  • enzyme 0
  • digest 0
  • cooler/balance 0
  • hash sketch 0
  • subcontigs 0
  • dbnsfp 0
  • predictions 0
  • nucleotide composition 0
  • SNPs 0
  • invariant 0
  • constant 0
  • concoct 0
  • partition histograms 0
  • rRNA 0
  • ribosomal RNA 0
  • signatures 0
  • duplicate marking 0
  • flagstat 0
  • ligation junctions 0
  • genetic 0
  • deletions 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
  • 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
  • multimapper 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
  • LCA 0
  • Ancestor 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
  • intervals coverage 0
  • split by chromosome 0
  • deletion 0
  • genomic intervals 0
  • schema 0
  • normal database 0
  • panel of normals 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

BaSiCPy is a python package for background and shading correction of optical microscopy images. It is developed based on the Matlab version of BaSiC tool with major improvements in the algorithm.

01

profiles versions

Chromograph is a python package to create PNG images from genetics data such as BED and WIG files.

01010101010101

plots versions

Calculate the sequence-accessible coordinates in chromosomes from the given reference genome, output as a BED file.

0101

bed versions

cnvkit:

CNVkit is a Python library and command-line software toolkit to infer and visualize copy number from high-throughput DNA sequencing data. It is designed for use with hybrid capture, including both whole-exome and custom target panels, and short-read sequencing platforms such as Illumina and Ion Torrent.

Derive off-target (โ€œantitargetโ€) bins from target regions.

01

bed versions

cnvkit:

CNVkit is a Python library and command-line software toolkit to infer and visualize copy number from high-throughput DNA sequencing data. It is designed for use with hybrid capture, including both whole-exome and custom target panels, and short-read sequencing platforms such as Illumina and Ion Torrent.

Copy number variant detection from high-throughput sequencing data

012010101010

bed cnn cnr cns pdf png versions

cnvkit:

CNVkit is a Python library and command-line software toolkit to infer and visualize copy number from high-throughput DNA sequencing data. It is designed for use with hybrid capture, including both whole-exome and custom target panels, and short-read sequencing platforms such as Illumina and Ion Torrent.

Given segmented log2 ratio estimates (.cns), derive each segmentโ€™s absolute integer copy number

012

cns versions

cnvkit:

CNVkit is a Python library and command-line software toolkit to infer and visualize copy number from high-throughput DNA sequencing data. It is designed for use with hybrid capture, including both whole-exome and custom target panels, and short-read sequencing platforms such as Illumina and Ion Torrent.

Convert copy number ratio tables (.cnr files) or segments (.cns) to another format.

01

output versions

cnvkit:

CNVkit is a Python library and command-line software toolkit to infer and visualize copy number from high-throughput DNA sequencing data. It is designed for use with hybrid capture, including both whole-exome and custom target panels, and short-read sequencing platforms such as Illumina and Ion Torrent.

Copy number variant detection from high-throughput sequencing data

012

tsv cnn versions

cnvkit:

CNVkit is a Python library and command-line software toolkit to infer and visualize copy number from high-throughput DNA sequencing data. It is designed for use with hybrid capture, including both whole-exome and custom target panels, and short-read sequencing platforms such as Illumina and Ion Torrent.

Compile a coverage reference from the given files (normal samples).

000

cnn versions

cnvkit:

CNVkit is a Python library and command-line software toolkit to infer and visualize copy number from high-throughput DNA sequencing data. It is designed for use with hybrid capture, including both whole-exome and custom target panels, and short-read sequencing platforms such as Illumina and Ion Torrent.

Transform bait intervals into targets more suitable for CNVkit.

0101

bed versions

cnvkit:

CNVkit is a Python library and command-line software toolkit to infer and visualize copy number from high-throughput DNA sequencing data. It is designed for use with hybrid capture, including both whole-exome and custom target panels, and short-read sequencing platforms such as Illumina and Ion Torrent.

Filters a differential expression table based on logFC and adjusted p-value thresholds

01012012

filtered versions

pandas:

Python library for data manipulation and analysis

"Python C-extension for a simple validator for fasta files. The module emits the validated file or an error log upon validation failure."

01

success_log error_log versions

fasta_validate:

"Python C-extension for a simple C code to validate a fasta file. It only checks a few things, and by default only sets its response via the return code, so you will need to check that!"

gget is a free, open-source command-line tool and Python package that enables efficient querying of genomic databases. gget consists of a collection of separate but interoperable modules, each designed to facilitate one type of database querying in a single line of code.

01

files output versions

gget:

gget enables efficient querying of genomic databases

Download database for GUNC detection of Chimerism and Contamination in Prokaryotic Genomes

0

db versions

gunc:

Python package for detection of chimerism and contamination in prokaryotic genomes.

Merging of CheckM and GUNC results in one summary table

012

tsv versions

gunc:

Python package for detection of chimerism and contamination in prokaryotic genomes.

Detection of Chimerism and Contamination in Prokaryotic Genomes

010

maxcss_level_tsv all_levels_tsv versions

gunc:

Python package for detection of chimerism and contamination in prokaryotic genomes.

count how many reads map to each feature

01201

txt versions

htseq/count:

HTSeq is a Python library to facilitate processing and analysis of data from high-throughput sequencing (HTS) experiments.

A Python application to generate self-contained HTML reports for variant review and other genomic applications

0123012

report versions

inStrain is python program for analysis of co-occurring genome populations from metagenomes that allows highly accurate genome comparisons, analysis of coverage, microdiversity, and linkage, and sensitive SNP detection with gene localization and synonymous non-synonymous identification

01000

profile snvs gene_info genome_info linkage mapping_info scaffold_info versions

instrain:

Calculation of strain-level metrics

Render jupyter (or jupytext) notebooks to HTML reports. Supports parametrization through papermill.

0100

report artifacts versions

jupytext:

Jupyter notebooks as plain text scripts or markdown documents

papermill:

Parameterize, execute, and analyze notebooks

nbconvert:

Parameterize, execute, and analyze notebooks

quantifies scRNA-seq data from fastq files using kb-python.

01000000

count versions matrix

kb:

kallisto and bustools are wrapped in an easy-to-use program called kb

A python workflow that assembles mitogenomes from Pacbio HiFi reads

010000

fasta stats gb gff all_potential_contigs contigs_annotations contigs_circularization contigs_filtering coverage_mapping coverage_plot final_mitogenome_annotation final_mitogenome_choice final_mitogenome_coverage potential_contigs reads_mapping_and_assembly shared_genes versions

mitohifi.py:

A python workflow that assembles mitogenomes from Pacbio HiFi reads

Compute summary statistics for control gene from BAM files.

01200

control_stats versions

pypgx:

A Python package for pharmacogenomics research

Call SNVs/indels from BAM files for all target genes.

0120100

vcf tbi versions

pypgx:

A Python package for pharmacogenomics research

Prepare a depth of coverage file for all target genes with SV from BAM files.

01200

coverage versions

pypgx:

A Python package for pharmacogenomics research

PyPGx pharmacogenomics genotyping pipeline for NGS data.

012345010

results cnv_calls consolidated_variants versions

pypgx:

A Python package for pharmacogenomics research

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

Render a Quarto notebook, including parametrization.

01000

html notebook artifacts params_yaml extensions versions

papermill:

Parameterize, execute, and analyze notebooks

Accurate detection of short and long active ORFs using Ribo-seq data

01201

protocol bam_summary read_length_dist metagene_profile_5p metagene_profile_3p metagene_plots psite_offsets pos_wig neg_wig orfs versions

ribotricer:

Python package to detect translating ORF from Ribo-seq data

Accurate detection of short and long active ORFs using Ribo-seq data

012

candidate_orfs versions

ribotricer:

Python package to detect translating ORF from Ribo-seq data

SpatialLDA uses an LDA based approach for the identification of cellular neighborhoods, using cell type identities.

01

spatial_lda_output composition_plot motif_location_plot versions

scimap:

Scimap is a scalable toolkit for analyzing spatial molecular data. The underlying framework is generalizable to spatial datasets mapped to XY coordinates. The package uses the anndata framework making it easy to integrate with other popular single-cell analysis toolkits. It includes preprocessing, phenotyping, visualization, clustering, spatial analysis and differential spatial testing. The Python-based implementation efficiently deals with large datasets of millions of cells.

Click here to trigger an update.