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
  • reports 2
  • notebook 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
  • checkm 1
  • validation 1
  • genotyping 1
  • prediction 1
  • profile 1
  • scRNA-seq 1
  • kallisto 1
  • summary 1
  • SV 1
  • PacBio 1
  • png 1
  • population genomics 1
  • wig 1
  • microscopy 1
  • differential expression 1
  • bustools 1
  • instrain 1
  • mitochondrion 1
  • spatial_omics 1
  • htseq 1
  • chloroplast 1
  • p-value 1
  • logFC 1
  • significance statistic 1
  • controlstatistics 1
  • quarto 1
  • python 1
  • r 1
  • scimap 1
  • spatial_neighborhoods 1
  • gget 1
  • gunc 1
  • illumiation_correction 1
  • background_correction 1
  • target 1
  • export 1
  • antitarget 1
  • access 1
  • chromosome_visualization 1
  • papermill 1
  • jupytext 1
  • Jupyter 1
  • Python 1
  • fastq 0
  • index 0
  • alignment 0
  • gatk4 0
  • cram 0
  • sam 0
  • variant calling 0
  • structural variants 0
  • align 0
  • merge 0
  • gff 0
  • bacteria 0
  • map 0
  • coverage 0
  • statistics 0
  • qc 0
  • classification 0
  • nanopore 0
  • classify 0
  • k-mer 0
  • MSA 0
  • split 0
  • gfa 0
  • taxonomic profiling 0
  • taxonomy 0
  • contamination 0
  • sentieon 0
  • somatic 0
  • pacbio 0
  • conversion 0
  • convert 0
  • proteomics 0
  • clustering 0
  • quality 0
  • binning 0
  • ancient DNA 0
  • VCF 0
  • contigs 0
  • imputation 0
  • bedtools 0
  • long reads 0
  • trimming 0
  • rnaseq 0
  • phylogeny 0
  • build 0
  • variation graph 0
  • kmer 0
  • mags 0
  • isoseq 0
  • sv 0
  • graph 0
  • reporting 0
  • bcftools 0
  • bisulfite 0
  • gvcf 0
  • QC 0
  • illumina 0
  • compression 0
  • bqsr 0
  • consensus 0
  • long-read 0
  • visualisation 0
  • protein 0
  • picard 0
  • methylseq 0
  • wgs 0
  • cna 0
  • bisulphite 0
  • table 0
  • methylation 0
  • indexing 0
  • 5mC 0
  • depth 0
  • serotype 0
  • mapping 0
  • demultiplex 0
  • antimicrobial resistance 0
  • taxonomic classification 0
  • stats 0
  • phage 0
  • metrics 0
  • tsv 0
  • openms 0
  • sequences 0
  • example 0
  • WGBS 0
  • samtools 0
  • matrix 0
  • DNA methylation 0
  • expression 0
  • cluster 0
  • bins 0
  • amr 0
  • protein sequence 0
  • searching 0
  • pangenome graph 0
  • scWGBS 0
  • pairs 0
  • neural network 0
  • base quality score recalibration 0
  • aDNA 0
  • structure 0
  • plot 0
  • markduplicates 0
  • haplotype 0
  • repeat 0
  • histogram 0
  • filtering 0
  • virus 0
  • phasing 0
  • biscuit 0
  • machine learning 0
  • aligner 0
  • completeness 0
  • low-coverage 0
  • metagenome 0
  • gzip 0
  • bcf 0
  • transcriptome 0
  • bwa 0
  • db 0
  • mappability 0
  • annotate 0
  • bisulfite sequencing 0
  • cooler 0
  • iCLIP 0
  • plink2 0
  • gene 0
  • seqkit 0
  • archaeogenomics 0
  • palaeogenomics 0
  • LAST 0
  • mmseqs2 0
  • germline 0
  • transcript 0
  • genotype 0
  • damage 0
  • mkref 0
  • complexity 0
  • newick 0
  • kraken2 0
  • ncbi 0
  • evaluation 0
  • ucsc 0
  • hmmsearch 0
  • msa 0
  • umi 0
  • spatial 0
  • mag 0
  • segmentation 0
  • blast 0
  • dedup 0
  • decompression 0
  • bismark 0
  • glimpse 0
  • hmmer 0
  • peaks 0
  • gff3 0
  • sequence 0
  • sketch 0
  • population genetics 0
  • bedGraph 0
  • reads 0
  • mitochondria 0
  • deduplication 0
  • short-read 0
  • mirna 0
  • vsearch 0
  • snp 0
  • differential 0
  • report 0
  • antimicrobial resistance genes 0
  • json 0
  • feature 0
  • demultiplexing 0
  • low frequency variant calling 0
  • kmers 0
  • plasmid 0
  • pangenome 0
  • antimicrobial peptides 0
  • single 0
  • tumor-only 0
  • splicing 0
  • NCBI 0
  • duplicates 0
  • multiple sequence alignment 0
  • extract 0
  • call 0
  • fragment 0
  • adapters 0
  • antibiotic resistance 0
  • merging 0
  • sourmash 0
  • 3-letter genome 0
  • fastx 0
  • FASTQ 0
  • ptr 0
  • single cell 0
  • isolates 0
  • svtk 0
  • tabular 0
  • microbiome 0
  • amps 0
  • arg 0
  • ont 0
  • text 0
  • counts 0
  • csv 0
  • coptr 0
  • mem 0
  • cat 0
  • de novo 0
  • concatenate 0
  • diversity 0
  • clipping 0
  • compare 0
  • mutect2 0
  • profiling 0
  • mpileup 0
  • de novo assembly 0
  • interval 0
  • indels 0
  • MAF 0
  • deamination 0
  • visualization 0
  • view 0
  • wxs 0
  • reference-free 0
  • query 0
  • detection 0
  • distance 0
  • idXML 0
  • benchmark 0
  • gridss 0
  • structural 0
  • genmod 0
  • bgzip 0
  • preprocessing 0
  • interval_list 0
  • CLIP 0
  • happy 0
  • compress 0
  • peak-calling 0
  • transcriptomics 0
  • hic 0
  • xeniumranger 0
  • haplotypecaller 0
  • circrna 0
  • ranking 0
  • HiFi 0
  • dna 0
  • cut 0
  • hmmcopy 0
  • HMM 0
  • bedgraph 0
  • retrotransposon 0
  • read depth 0
  • ccs 0
  • logratio 0
  • telomere 0
  • mtDNA 0
  • bedpe 0
  • paf 0
  • public datasets 0
  • bin 0
  • snps 0
  • deep learning 0
  • diamond 0
  • microsatellite 0
  • enrichment 0
  • ngscheckmate 0
  • family 0
  • bigwig 0
  • matching 0
  • phylogenetic placement 0
  • STR 0
  • gsea 0
  • genome assembler 0
  • umitools 0
  • propr 0
  • sequencing 0
  • ganon 0
  • DNA sequencing 0
  • containment 0
  • targeted sequencing 0
  • miscoding lesions 0
  • fgbio 0
  • palaeogenetics 0
  • archaeogenetics 0
  • hybrid capture sequencing 0
  • copy number alteration calling 0
  • quantification 0
  • isomir 0
  • redundancy 0
  • sample 0
  • bcl2fastq 0
  • rna 0
  • BGC 0
  • union 0
  • image 0
  • normalization 0
  • ATAC-seq 0
  • ampir 0
  • abundance 0
  • DNA sequence 0
  • ancestry 0
  • add 0
  • chromosome 0
  • parsing 0
  • fai 0
  • microarray 0
  • chunk 0
  • clean 0
  • skani 0
  • resistance 0
  • biosynthetic gene cluster 0
  • fungi 0
  • malt 0
  • html 0
  • vrhyme 0
  • krona 0
  • pairsam 0
  • pan-genome 0
  • survivor 0
  • spark 0
  • covid 0
  • mlst 0
  • pangolin 0
  • khmer 0
  • lineage 0
  • roh 0
  • image_analysis 0
  • pseudoalignment 0
  • typing 0
  • benchmarking 0
  • variant_calling 0
  • transposons 0
  • krona chart 0
  • somatic variants 0
  • fingerprint 0
  • dist 0
  • PCA 0
  • minimap2 0
  • spaceranger 0
  • uLTRA 0
  • quality trimming 0
  • genotype-based deconvoltion 0
  • comparisons 0
  • duplication 0
  • bacterial 0
  • repeat expansion 0
  • ligate 0
  • combine 0
  • seqtk 0
  • macrel 0
  • popscle 0
  • mcmicro 0
  • highly_multiplexed_imaging 0
  • host 0
  • hidden Markov model 0
  • wastewater 0
  • mask 0
  • angsd 0
  • UMI 0
  • intervals 0
  • miRNA 0
  • insert 0
  • converter 0
  • amplicon sequences 0
  • pileup 0
  • SNP 0
  • npz 0
  • bamtools 0
  • windowmasker 0
  • bakta 0
  • transcripts 0
  • entrez 0
  • structural_variants 0
  • prokka 0
  • guide tree 0
  • amplicon sequencing 0
  • indel 0
  • tabix 0
  • virulence 0
  • ambient RNA removal 0
  • fastk 0
  • mapper 0
  • cfDNA 0
  • fam 0
  • replace 0
  • bim 0
  • long_read 0
  • adapter trimming 0
  • subsample 0
  • unzip 0
  • cellranger 0
  • zip 0
  • dump 0
  • RNA 0
  • rna_structure 0
  • relatedness 0
  • identity 0
  • CRISPR 0
  • cool 0
  • mkfastq 0
  • uncompress 0
  • panel 0
  • untar 0
  • shapeit 0
  • prokaryotes 0
  • organelle 0
  • arriba 0
  • gene expression 0
  • nucleotide 0
  • archiving 0
  • atac-seq 0
  • remove 0
  • checkv 0
  • mzml 0
  • chip-seq 0
  • fcs-gx 0
  • score 0
  • microbes 0
  • DRAMP 0
  • observations 0
  • kraken 0
  • gatk4spark 0
  • fusion 0
  • cut up 0
  • RNA-seq 0
  • sylph 0
  • complement 0
  • prefetch 0
  • polishing 0
  • comparison 0
  • rsem 0
  • das_tool 0
  • neubi 0
  • deeparg 0
  • proteome 0
  • eukaryotes 0
  • das tool 0
  • amplify 0
  • bracken 0
  • genome mining 0
  • aln 0
  • dictionary 0
  • genomes 0
  • bwameth 0
  • genome assembly 0
  • C to T 0
  • small indels 0
  • lossless 0
  • informative sites 0
  • ataqv 0
  • hi-c 0
  • regions 0
  • kinship 0
  • scores 0
  • taxids 0
  • metamaps 0
  • regression 0
  • baf 0
  • import 0
  • interactions 0
  • concordance 0
  • genetics 0
  • genomad 0
  • MaltExtract 0
  • edit distance 0
  • phase 0
  • zlib 0
  • taxon name 0
  • gem 0
  • vg 0
  • vcflib 0
  • gene set analysis 0
  • variant pruning 0
  • ChIP-seq 0
  • functional analysis 0
  • concat 0
  • authentication 0
  • variation 0
  • library 0
  • bfiles 0
  • adapter 0
  • subset 0
  • trim 0
  • HOPS 0
  • preseq 0
  • gstama 0
  • tama 0
  • trancriptome 0
  • gene set 0
  • lift 0
  • leviosam2 0
  • nextclade 0
  • artic 0
  • multiallelic 0
  • megan 0
  • transcriptomic 0
  • mudskipper 0
  • aggregate 0
  • checksum 0
  • demultiplexed reads 0
  • nucleotides 0
  • k-mer frequency 0
  • tree 0
  • cnvnator 0
  • minhash 0
  • RiPP 0
  • mash 0
  • NRPS 0
  • graph layout 0
  • proportionality 0
  • simulate 0
  • GC content 0
  • archive 0
  • antibiotics 0
  • tumor 0
  • rrna 0
  • msi 0
  • instability 0
  • MSI 0
  • homoploymer 0
  • antismash 0
  • reformatting 0
  • tnhaplotyper2 0
  • removal 0
  • spatial_transcriptomics 0
  • resolve_bioscience 0
  • rgfa 0
  • profiles 0
  • orthology 0
  • parallelized 0
  • assembly evaluation 0
  • small variants 0
  • RNA-Seq 0
  • xz 0
  • COBS 0
  • haplogroups 0
  • ichorcna 0
  • polyA_tail 0
  • refine 0
  • maximum likelihood 0
  • iphop 0
  • ped 0
  • SimpleAF 0
  • parse 0
  • read-group 0
  • GPU-accelerated 0
  • reformat 0
  • xenograft 0
  • mapcounter 0
  • hlala_typing 0
  • hla_typing 0
  • hlala 0
  • hla 0
  • graft 0
  • salmon 0
  • amptransformer 0
  • k-mer index 0
  • secondary metabolites 0
  • bloom filter 0
  • lofreq 0
  • serogroup 0
  • barcode 0
  • primer 0
  • pharokka 0
  • function 0
  • registration 0
  • kma 0
  • image_processing 0
  • retrotransposons 0
  • pair 0
  • interactive 0
  • krakenuniq 0
  • long terminal repeat 0
  • krakentools 0
  • long terminal retrotransposon 0
  • screen 0
  • ampgram 0
  • tbi 0
  • micro-satellite-scan 0
  • UMIs 0
  • RNA sequencing 0
  • dict 0
  • Streptococcus pneumoniae 0
  • smrnaseq 0
  • unaligned 0
  • taxonomic profile 0
  • FracMinHash sketch 0
  • fixmate 0
  • short reads 0
  • duplex 0
  • sequenzautils 0
  • metagenomes 0
  • fetch 0
  • GEO 0
  • random forest 0
  • pigz 0
  • collate 0
  • reads merging 0
  • signature 0
  • eido 0
  • settings 0
  • taxon tables 0
  • otu tables 0
  • ome-tif 0
  • sra-tools 0
  • fasterq-dump 0
  • standardisation 0
  • ancient dna 0
  • merge mate pairs 0
  • allele 0
  • MCMICRO 0
  • bam2fq 0
  • doublets 0
  • mirdeep2 0
  • structural-variant calling 0
  • standardise 0
  • intersection 0
  • version 0
  • blastp 0
  • sizes 0
  • emboss 0
  • gwas 0
  • bases 0
  • de novo assembler 0
  • varcal 0
  • rename 0
  • fusions 0
  • eigenstrat 0
  • frame-shift correction 0
  • long-read sequencing 0
  • validate 0
  • salmonella 0
  • samplesheet 0
  • format 0
  • region 0
  • svdb 0
  • heatmap 0
  • repeat_expansions 0
  • metagenomic 0
  • identifier 0
  • soft-clipped clusters 0
  • blastn 0
  • standardization 0
  • expansionhunterdenovo 0
  • windows 0
  • deseq2 0
  • find 0
  • metadata 0
  • BAM 0
  • transformation 0
  • small genome 0
  • awk 0
  • tab 0
  • rna-seq 0
  • mRNA 0
  • sequence analysis 0
  • anndata 0
  • junctions 0
  • calling 0
  • panelofnormals 0
  • nanostring 0
  • human removal 0
  • orthologs 0
  • evidence 0
  • cgMLST 0
  • decontamination 0
  • genome bins 0
  • scatter 0
  • WGS 0
  • single cells 0
  • screening 0
  • norm 0
  • normalize 0
  • filtermutectcalls 0
  • gatk 0
  • duplicate 0
  • effect prediction 0
  • CNV 0
  • intersect 0
  • split_kmers 0
  • contig 0
  • hostile 0
  • runs_of_homozygosity 0
  • joint genotyping 0
  • scaffold 0
  • msisensor-pro 0
  • polish 0
  • corrupted 0
  • Duplication purging 0
  • Read depth 0
  • cleaning 0
  • snpeff 0
  • switch 0
  • shigella 0
  • immunoprofiling 0
  • join 0
  • trgt 0
  • microbial 0
  • recombination 0
  • eCLIP 0
  • gene labels 0
  • deconvolution 0
  • bayesian 0
  • repeats 0
  • correction 0
  • splice 0
  • purge duplications 0
  • haplotypes 0
  • scaffolding 0
  • cnv calling 0
  • vdj 0
  • estimation 0
  • reheader 0
  • nacho 0
  • snpsift 0
  • interval list 0
  • rtgtools 0
  • dereplicate 0
  • realignment 0
  • cancer genomics 0
  • allele-specific 0
  • spatype 0
  • decoy 0
  • snippy 0
  • tnscope 0
  • groupby 0
  • helitron 0
  • bgen 0
  • spa 0
  • hash sketch 0
  • melon 0
  • simulation 0
  • hmmfetch 0
  • decompose 0
  • constant 0
  • invariant 0
  • SNPs 0
  • reverse complement 0
  • predictions 0
  • dbnsfp 0
  • rRNA 0
  • ribosomal RNA 0
  • transmembrane 0
  • confidence 0
  • Read coverage histogram 0
  • propd 0
  • Escherichia coli 0
  • signatures 0
  • genome graph 0
  • fracminhash sketch 0
  • tnseq 0
  • boxcox 0
  • clr 0
  • alr 0
  • blat 0
  • remove samples 0
  • gemini 0
  • streptococcus 0
  • genotype dosages 0
  • gtftogenepred 0
  • refflat 0
  • genepred 0
  • graph projection to vcf 0
  • bedtobigbed 0
  • extractunbinned 0
  • linkbins 0
  • bigbed 0
  • bedgraphtobigwig 0
  • sintax 0
  • construct 0
  • sequencing adapters 0
  • vsearch/sort 0
  • transcroder 0
  • cds 0
  • coding 0
  • eucaryotes 0
  • chromosomal rearrangements 0
  • usearch 0
  • long read alignment 0
  • pangenome-scale 0
  • ucsc/liftover 0
  • umicollapse 0
  • mashmap 0
  • snv 0
  • subsample bam 0
  • maf 0
  • lua 0
  • bedcov 0
  • genome polishing 0
  • assembly polishing 0
  • toml 0
  • downsample bam 0
  • downsample 0
  • disomy 0
  • scRNA-Seq 0
  • vcfbreakmulti 0
  • uniq 0
  • deduplicate 0
  • VCFtools 0
  • uniparental 0
  • upd 0
  • verifybamid 0
  • comp 0
  • DNA contamination estimation 0
  • files 0
  • all versus all 0
  • wavefront 0
  • dnascope 0
  • baftest 0
  • snakemake 0
  • vcf2db 0
  • workflow_mode 0
  • rdtest 0
  • createreadcountpanelofnormals 0
  • rdtest2vcf 0
  • copyratios 0
  • denoisereadcounts 0
  • countsvtypes 0
  • svtk/baftest 0
  • sliding 0
  • network 0
  • pca 0
  • short-read sequencing 0
  • detecting svs 0
  • SINE 0
  • plant 0
  • readwriter 0
  • variantcalling 0
  • sccmec 0
  • dnamodelapply 0
  • plink2_pca 0
  • bgen file 0
  • Mycobacterium tuberculosis 0
  • mapad 0
  • whamg 0
  • wham 0
  • copy-number 0
  • copy number analysis 0
  • gender determination 0
  • copy number alterations 0
  • copy number variation 0
  • yahs 0
  • geo 0
  • adna 0
  • hicPCA 0
  • vcf file 0
  • fast5 0
  • polya tail 0
  • decompress 0
  • wget 0
  • c to t 0
  • proteus 0
  • readproteingroups 0
  • vcf2bed 0
  • eigenvectors 0
  • workflow 0
  • distance-based 0
  • sompy 0
  • script 0
  • Read trimming 0
  • Read report 0
  • drug categorization 0
  • uniques 0
  • Illumina 0
  • functional 0
  • reference panel 0
  • impute-info 0
  • tags 0
  • tag2tag 0
  • junction 0
  • hashing-based deconvolution 0
  • rank 0
  • java 0
  • xml 0
  • nanoq 0
  • svg 0
  • standard 0
  • haplotag 0
  • staging 0
  • phylogenies 0
  • Staging 0
  • hmmscan 0
  • hmmpress 0
  • microRNA 0
  • multiqc 0
  • hhsuite 0
  • 16S 0
  • CRISPRi 0
  • mass_error 0
  • Read filters 0
  • redundant 0
  • poolseq 0
  • regulatory network 0
  • lexogen 0
  • genotype-based demultiplexing 0
  • donor deconvolution 0
  • cellsnp 0
  • trimfq 0
  • vcflib/vcffixup 0
  • AC/NS/AF 0
  • Pacbio 0
  • guidetree 0
  • bwamem2 0
  • bwameme 0
  • grabix 0
  • ribosomal 0
  • 10x 0
  • reference compression 0
  • extraction 0
  • transcription factors 0
  • paraphase 0
  • selector 0
  • cram-size 0
  • size 0
  • quality check 0
  • realign 0
  • circular 0
  • spot 0
  • sniffles 0
  • orthogroup 0
  • sage 0
  • mass spectrometry 0
  • featuretable 0
  • search engine 0
  • variant-calling 0
  • busco 0
  • partitioning 0
  • quality_control 0
  • chip 0
  • updatedata 0
  • run 0
  • pdb 0
  • block substitutions 0
  • decomposeblocksub 0
  • identity-by-descent 0
  • doublet_detection 0
  • barcodes 0
  • subsetting 0
  • scvi 0
  • emoji 0
  • solo 0
  • import segmentation 0
  • nuclear segmentation 0
  • cell segmentation 0
  • relabel 0
  • mgi 0
  • recovery 0
  • resegment 0
  • morphology 0
  • leafcutter 0
  • metagenome assembler 0
  • scanpy 0
  • regtools 0
  • plotting 0
  • malformed 0
  • source tracking 0
  • stardist 0
  • tar 0
  • telseq 0
  • vsearch/dereplicate 0
  • vsearch/fastqfilter 0
  • taxonomic composition 0
  • mzML 0
  • prepare 0
  • catpack 0
  • fastqfilter 0
  • ATACseq 0
  • shift 0
  • ATACshift 0
  • setgt 0
  • jvarkit 0
  • translate 0
  • Computational Immunology 0
  • doublet 0
  • fix 0
  • paired reads re-pairing 0
  • regex 0
  • patterns 0
  • elprep 0
  • elfasta 0
  • nucleotide content 0
  • tarball 0
  • AT content 0
  • nucBed 0
  • bclconvert 0
  • targz 0
  • Immune Deconvolution 0
  • Bioinformatics Tools 0
  • droplet based single cells 0
  • InterProScan 0
  • pruning 0
  • resistance genes 0
  • introns 0
  • install 0
  • microbial genomics 0
  • joint-genotyping 0
  • genotypegvcf 0
  • drep 0
  • agat 0
  • longest 0
  • isoform 0
  • variancepartition 0
  • parallel 0
  • dream 0
  • plastid 0
  • resfinder 0
  • raw 0
  • dereplication 0
  • mgf 0
  • parquet 0
  • parser 0
  • dbsnp 0
  • standardize 0
  • md 0
  • coexpression 0
  • nm 0
  • correlation 0
  • corpcor 0
  • assay 0
  • gaps 0
  • transform 0
  • minimum_evolution 0
  • bam2fastx 0
  • linkage equilibrium 0
  • peak picking 0
  • f coefficient 0
  • site frequency spectrum 0
  • ancestral alleles 0
  • derived alleles 0
  • tnfilter 0
  • array_cgh 0
  • cytosure 0
  • vector 0
  • gprofiler2 0
  • gost 0
  • rad 0
  • structural variant 0
  • bam2fastq 0
  • covariance model 0
  • spectral clustering 0
  • idx 0
  • mutect 0
  • deep variant 0
  • inbreeding 0
  • comparative genomics 0
  • sequence similarity 0
  • immcantation 0
  • heterozygous genotypes 0
  • homology 0
  • homozygous genotypes 0
  • co-orthology 0
  • immunoinformatics 0
  • airrseq 0
  • phylogenetics 0
  • nucleotide sequence 0
  • MMseqs2 0
  • extension 0
  • long read 0
  • shuffleBed 0
  • prior knowledge 0
  • tag 0
  • cell_barcodes 0
  • mygene 0
  • go 0
  • SNV 0
  • pile up 0
  • Indel 0
  • host removal 0
  • nanopore sequencing 0
  • rna velocity 0
  • cobra 0
  • haploype 0
  • biological activity 0
  • grea 0
  • functional enrichment 0
  • impute 0
  • translation 0
  • paired reads merging 0
  • overlap-based merging 0
  • check 0
  • hamming-distance 0
  • hashing-based deconvoltion 0
  • gnu 0
  • coreutils 0
  • generic 0
  • transposable element 0
  • retrieval 0
  • tandem repeats 0
  • trio binning 0
  • homologs 0
  • seqfu 0
  • uq 0
  • multi-tool 0
  • predict 0
  • short 0
  • hardy-weinberg 0
  • hwe statistics 0
  • hwe equilibrium 0
  • reference-independent 0
  • genotype likelihood 0
  • collapse 0
  • intron 0
  • liftover 0
  • probabilistic realignment 0
  • masking 0
  • n50 0
  • omics 0
  • GWAS 0
  • structural-variants 0
  • Bayesian 0
  • associations 0
  • case/control 0
  • GFF/GTF 0
  • cell_type_identification 0
  • low-complexity 0
  • association 0
  • refresh 0
  • clahe 0
  • machine_learning 0
  • cell_phenotyping 0
  • core 0
  • contour map 0
  • POA 0
  • short variant discovery 0
  • targets 0
  • annotateintervals 0
  • variant quality score recalibration 0
  • vqsr 0
  • asereadcounter 0
  • bedtointervallist 0
  • calculatecontamination 0
  • cross-samplecontamination 0
  • getpileupsummaries 0
  • calibratedragstrmodel 0
  • cnnscorevariants 0
  • collectreadcounts 0
  • collectsvevidence 0
  • combinegvcfs 0
  • composestrtablefile 0
  • gangstr 0
  • filtervarianttranches 0
  • panelofnormalscreation 0
  • jointgenotyping 0
  • genomicsdbimport 0
  • genomicsdb 0
  • gatherbqsrreports 0
  • tranche filtering 0
  • filterintervals 0
  • dragstr 0
  • estimatelibrarycomplexity 0
  • duplication metrics 0
  • determinegermlinecontigploidy 0
  • createsomaticpanelofnormals 0
  • createsequencedictionary 0
  • condensedepthevidence 0
  • heattree 0
  • gene-calling 0
  • germlinecnvcaller 0
  • faqcs 0
  • public 0
  • ENA 0
  • SRA 0
  • ANI 0
  • ARGs 0
  • antibiotic resistance genes 0
  • str 0
  • duplexumi 0
  • cache 0
  • percent on target 0
  • endogenous DNA 0
  • Streptococcus pyogenes 0
  • swissprot 0
  • genbank 0
  • consensus sequence 0
  • groupreads 0
  • gamma 0
  • rust 0
  • UShER 0
  • bootstrapping 0
  • bacterial variant calling 0
  • germline variant calling 0
  • somatic variant calling 0
  • variant caller 0
  • fq 0
  • unmapped 0
  • lint 0
  • random 0
  • generate 0
  • single molecule 0
  • zipperbams 0
  • ubam 0
  • germline contig ploidy 0
  • germlinevariantsites 0
  • split by chromosome 0
  • low coverage 0
  • merge compare 0
  • GNU 0
  • joint-variant-calling 0
  • Imputation 0
  • Haplotypes 0
  • Sample 0
  • tama_collapse.py 0
  • genome statistics 0
  • genome manipulation 0
  • genome summary 0
  • gfastats 0
  • Mykrobe 0
  • Salmonella Typhi 0
  • genomes on a tree 0
  • gene model 0
  • genome heterozygosity 0
  • gvcftools 0
  • rgi 0
  • fARGene 0
  • amrfinderplus 0
  • abricate 0
  • extractvariants 0
  • extract_variants 0
  • gunzip 0
  • TAMA 0
  • archaea 0
  • genome taxonomy database 0
  • GTDB taxonomy 0
  • gstama/polyacleanup 0
  • gstama/merge 0
  • repeat content 0
  • genome size 0
  • getpileupsumaries 0
  • snvs 0
  • revert 0
  • reblockgvcf 0
  • printsvevidence 0
  • printreads 0
  • preprocessintervals 0
  • postprocessgermlinecnvcalls 0
  • mutectstats 0
  • shiftchain 0
  • mergebamalignment 0
  • leftalignandtrimvariants 0
  • readorientationartifacts 0
  • learnreadorientationmodel 0
  • indexfeaturefile 0
  • readcountssummary 0
  • selectvariants 0
  • shiftfasta 0
  • models 0
  • variantrecalibrator 0
  • compound 0
  • genome profile 0
  • bgc 0
  • file parsing 0
  • txt 0
  • gawk 0
  • recalibration model 0
  • shiftintervals 0
  • variantfiltration 0
  • svcluster 0
  • svannotate 0
  • splitintervals 0
  • splitcram 0
  • site depth 0
  • embl 0
  • deletion 0
  • hbd 0
  • BCF 0
  • csi 0
  • deduping 0
  • smaller fastqs 0
  • clumping fastqs 0
  • element 0
  • biallelic 0
  • trimBam 0
  • bamUtil 0
  • bamtools/split 0
  • yaml 0
  • bamtools/convert 0
  • mouse 0
  • update header 0
  • homozygosity 0
  • virulent 0
  • chunking 0
  • subtract 0
  • slopBed 0
  • shiftBed 0
  • multinterval 0
  • overlapped bed 0
  • maskfasta 0
  • jaccard 0
  • autozygosity 0
  • overlap 0
  • getfasta 0
  • genomecov 0
  • closest 0
  • bamtobed 0
  • sorting 0
  • bacphlip 0
  • temperate 0
  • bioawk 0
  • amp 0
  • allele counts 0
  • nuclear contamination estimate 0
  • post Post-processing 0
  • model 0
  • AMPs 0
  • antimicrobial peptide prediction 0
  • Staphylococcus aureus 0
  • installation 0
  • affy 0
  • reference panels 0
  • admixture 0
  • adapterremoval 0
  • antimicrobial reistance 0
  • contiguate 0
  • doCounts 0
  • HLA 0
  • lifestyle 0
  • read group 0
  • autofluorescence 0
  • cycif 0
  • background 0
  • single-stranded 0
  • ancientDNA 0
  • authentict 0
  • bias 0
  • utility 0
  • ATLAS 0
  • sequencing_bias 0
  • post mortem damage 0
  • atlas 0
  • mkarv 0
  • http(s) 0
  • unionBedGraphs 0
  • file manipulation 0
  • circos 0
  • TMA dearray 0
  • gct 0
  • cls 0
  • na 0
  • custom 0
  • Cores 0
  • Segmentation 0
  • UNet 0
  • pcr duplicates 0
  • mcool 0
  • genomic bins 0
  • makebins 0
  • enzyme 0
  • digest 0
  • cload 0
  • cutesv 0
  • paired-end 0
  • subcontigs 0
  • depth information 0
  • eklipse 0
  • eigenstratdatabasetools 0
  • pep 0
  • schema 0
  • PEP 0
  • escherichia coli 0
  • structural variation 0
  • track 0
  • duphold 0
  • segment 0
  • blastx 0
  • cumulative coverage 0
  • scatterplot 0
  • corrrelation 0
  • cooler/balance 0
  • nucleotide composition 0
  • sorted 0
  • compartments 0
  • multiomics 0
  • mkvdjref 0
  • cellpose 0
  • hifi 0
  • Assembly 0
  • domains 0
  • topology 0
  • antibody capture 0
  • calder2 0
  • cadd 0
  • postprocessing 0
  • tblastn 0
  • subtyping 0
  • Salmonella enterica 0
  • antigen capture 0
  • crispr 0
  • concoct 0
  • protein coding genes 0
  • partition histograms 0
  • cmseq 0
  • polymorphic sites 0
  • qa 0
  • polymorphic 0
  • polymut 0
  • duplicate removal 0
  • chromap 0
  • quality assurnce 0
  • ibd 0
  • beagle 0
  • SMN2 0
  • haplotype purging 0
  • variant genetic 0
  • pmdtools 0
  • porechop_abi 0
  • contact 0
  • pretext 0
  • jpg 0
  • bmp 0
  • contact maps 0
  • gene finding 0
  • intervals coverage 0
  • genomic intervals 0
  • normal database 0
  • panel of normals 0
  • cutoff 0
  • duplicate purging 0
  • identifiers 0
  • subsampling 0
  • experiment 0
  • strandedness 0
  • bamstat 0
  • R 0
  • rhocall 0
  • long uncorrected reads 0
  • neighbour-joining 0
  • false duplications 0
  • quast 0
  • purging 0
  • Assembly curation 0
  • False duplications 0
  • Haplotype purging 0
  • assembly curation 0
  • scoring 0
  • whole genome association 0
  • fragment_size 0
  • phylogenetic composition 0
  • sortvcf 0
  • picard/renamesampleinvcf 0
  • pcr 0
  • liftovervcf 0
  • mate-pair 0
  • hybrid-selection 0
  • illumina datasets 0
  • insertions 0
  • identification 0
  • prophage 0
  • phantom peaks 0
  • ChIP-Seq 0
  • motif 0
  • pedigrees 0
  • deletions 0
  • tandem duplications 0
  • recode 0
  • PRO-seq 0
  • indep pairwise 0
  • indep 0
  • variant identifiers 0
  • exclude 0
  • genetic 0
  • GRO-seq 0
  • STRIPE-seq 0
  • CoPRO 0
  • csRNA-seq 0
  • RAMPAGE 0
  • NETCAGE 0
  • CAGE 0
  • PRO-cap 0
  • GRO-cap 0
  • read_pairs 0
  • inner_distance 0
  • pair-end 0
  • selection 0
  • gc_wiggle 0
  • bam2seqz 0
  • freqsum 0
  • pseudodiploid 0
  • pseudohaploid 0
  • random draw 0
  • seq 0
  • sex determination 0
  • header 0
  • interleave 0
  • sertotype 0
  • sequence headers 0
  • grep 0
  • subseq 0
  • induce 0
  • genetic sex 0
  • VQSR 0
  • exploratory 0
  • SMN1 0
  • CRAM 0
  • sliding window 0
  • features 0
  • density 0
  • boxplot 0
  • shinyngs 0
  • relative coverage 0
  • 256 bit 0
  • sha256 0
  • longread 0
  • de-novo 0
  • error 0
  • rare variants 0
  • variant recalibration 0
  • applyvarcal 0
  • read distribution 0
  • salsa 0
  • sambamba 0
  • flagstat 0
  • multimapper 0
  • Ancestor 0
  • LCA 0
  • salsa2 0
  • rtg-tools 0
  • amplicon 0
  • rocplot 0
  • pedfilter 0
  • rtg 0
  • integrity 0
  • mapping-based 0
  • sequence-based 0
  • duplicate marking 0
  • ampliconclip 0
  • assembly-binning 0
  • cluster analysis 0
  • seacr 0
  • chromatin 0
  • cut&run 0
  • cut&tag 0
  • peak-caller 0
  • clusteridentifier 0
  • scramble 0
  • calmd 0
  • readgroup 0
  • read pairs 0
  • paired 0
  • repair 0
  • insert size 0
  • faidx 0
  • read 0
  • pbp 0
  • mitochondrial 0
  • adapter removal 0
  • Listeria monocytogenes 0
  • limma 0
  • pneumophila 0
  • clinical 0
  • legionella 0
  • collapsing 0
  • train 0
  • lofreq/filter 0
  • spliced 0
  • reorder 0
  • combining 0
  • kofamscan 0
  • kegg 0
  • pneumoniae 0
  • lofreq/call 0
  • qualities 0
  • effective genome size 0
  • NGS 0
  • representations 0
  • reduced 0
  • mash/sketch 0
  • taxonomic assignment 0
  • estimate 0
  • damage patterns 0
  • DNA damage 0
  • AMP 0
  • rra 0
  • maximum-likelihood 0
  • CRISPR-Cas9 0
  • sgRNA 0
  • functional genomics 0
  • peptide prediction 0
  • Klebsiella 0
  • k-mer counting 0
  • metagenome-assembled genomes 0
  • hmtnote 0
  • igv 0
  • IDR 0
  • panel_of_normals 0
  • haemophilus 0
  • pos 0
  • annotations 0
  • Hidden Markov Model 0
  • js 0
  • amino acid 0
  • HMMER 0
  • readcounter 0
  • gccounter 0
  • haplotype resolution 0
  • Haemophilus influenzae 0
  • igv.js 0
  • genome browser 0
  • digital normalization 0
  • jasmine 0
  • quant 0
  • kallisto/index 0
  • jasminesv 0
  • multicut 0
  • insertion 0
  • genomic islands 0
  • interproscan 0
  • probability_maps 0
  • pixel_classification 0
  • pixel classification 0
  • maxbin2 0
  • mass-spectroscopy 0
  • subreads 0
  • graph drawing 0
  • graph formats 0
  • graph unchopping 0
  • graph stats 0
  • combine graphs 0
  • odgi 0
  • squeeze 0
  • graph construction 0
  • tumor/normal 0
  • gender 0
  • Neisseria gonorrhoeae 0
  • ngm 0
  • NextGenMap 0
  • sequencing summary 0
  • mobile element insertions 0
  • graph viz 0
  • hla-typing 0
  • cancer genome 0
  • pairstools 0
  • pbmerge 0
  • pbbam 0
  • graphs 0
  • paragraph 0
  • select 0
  • restriction fragments 0
  • pairtools 0
  • ILP 0
  • ligation junctions 0
  • upper-triangular matrix 0
  • flip 0
  • PCR/optical duplicates 0
  • block-compressed 0
  • HLA-I 0
  • somatic structural variations 0
  • contaminant 0
  • mcr-1 0
  • Neisseria meningitidis 0
  • metaphlan 0
  • unionsum 0
  • ploidy 0
  • smudgeplot 0
  • Merqury 0
  • 3D heat map 0
  • rma6 0
  • mbias 0
  • daa 0
  • debruijn 0
  • denovo 0
  • megahit 0
  • 128 bit 0
  • MD5 0
  • methylation bias 0
  • assembler 0
  • SNP table 0
  • scan 0
  • GATK UnifiedGenotyper 0
  • Beautiful stand-alone HTML report 0
  • bioinformatics tools 0
  • mitochondrial to nuclear ratio 0
  • ratio 0
  • mtnucratio 0
  • microsatellite instability 0
  • de Bruijn 0
  • otu table 0
  • mosdepth 0
  • reference genome 0
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  • microrna 0
  • scanner 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.

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