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

012

results log versions

metaspace2020:

Python package providing programmatic access to the METASPACE platform

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.