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.

  • mags 12
  • imaging 10
  • assembly 9
  • binning 9
  • contamination 8
  • ancient DNA 8
  • damage 8
  • fasta 7
  • quality 7
  • completeness 7
  • metagenome 7
  • checkm 7
  • mag 7
  • segmentation 7
  • classification 6
  • contigs 6
  • taxonomic classification 6
  • bins 6
  • aDNA 6
  • archaeogenomics 6
  • palaeogenomics 6
  • bam 5
  • metagenomics 5
  • alignment 5
  • long reads 5
  • deamination 5
  • isolates 5
  • fragment 5
  • database 4
  • graph 4
  • virus 4
  • spatial 4
  • miscoding lesions 4
  • palaeogenetics 4
  • archaeogenetics 4
  • image 4
  • genomics 3
  • reference 3
  • sort 3
  • coverage 3
  • download 3
  • visualisation 3
  • de novo assembly 3
  • bin 3
  • cut 3
  • C to T 3
  • mcmicro 3
  • vrhyme 3
  • highly_multiplexed_imaging 3
  • image_analysis 3
  • checkv 3
  • cut up 3
  • spaceranger 3
  • index 2
  • bed 2
  • annotation 2
  • align 2
  • merge 2
  • bacteria 2
  • statistics 2
  • MSA 2
  • filtering 2
  • mkref 2
  • microbiome 2
  • malt 2
  • xeniumranger 2
  • microbes 2
  • CRISPR 2
  • png 2
  • resolve_bioscience 2
  • spatial_transcriptomics 2
  • image_processing 2
  • ome-tif 2
  • MCMICRO 2
  • registration 2
  • microscopy 2
  • MaltExtract 2
  • HOPS 2
  • authentication 2
  • edit distance 2
  • single cells 2
  • genome bins 2
  • vcf 1
  • fastq 1
  • cram 1
  • variant calling 1
  • filter 1
  • map 1
  • gfa 1
  • proteomics 1
  • count 1
  • kmer 1
  • build 1
  • consensus 1
  • tsv 1
  • phage 1
  • mapping 1
  • neural network 1
  • aligner 1
  • machine learning 1
  • validation 1
  • complexity 1
  • pangenome 1
  • plasmid 1
  • short-read 1
  • diversity 1
  • visualization 1
  • cat 1
  • amps 1
  • detection 1
  • profiling 1
  • hic 1
  • redundancy 1
  • quantification 1
  • transcriptomics 1
  • abundance 1
  • bacterial 1
  • mapper 1
  • bakta 1
  • wig 1
  • ancient dna 1
  • rtgtools 1
  • correction 1
  • estimation 1
  • spatial_omics 1
  • cellpose 1
  • extractunbinned 1
  • linkbins 1
  • quality assurnce 1
  • qa 1
  • mapad 1
  • adna 1
  • c to t 1
  • taxonomic composition 1
  • prepare 1
  • catpack 1
  • stardist 1
  • Staging 1
  • post mortem damage 1
  • staging 1
  • resegment 1
  • morphology 1
  • post Post-processing 1
  • cell segmentation 1
  • nuclear segmentation 1
  • import segmentation 1
  • background_correction 1
  • illumiation_correction 1
  • cell_type_identification 1
  • cell_phenotyping 1
  • machine_learning 1
  • clahe 1
  • background 1
  • single-stranded 1
  • ancientDNA 1
  • spot 1
  • authentict 1
  • sage 1
  • mass spectrometry 1
  • guidetree 1
  • autofluorescence 1
  • cycif 1
  • cmseq 1
  • maxbin2 1
  • metagenome-assembled genomes 1
  • functional genomics 1
  • sgRNA 1
  • CRISPR-Cas9 1
  • maximum-likelihood 1
  • rra 1
  • DNA damage 1
  • NGS 1
  • damage patterns 1
  • pixel_classification 1
  • multicut 1
  • pixel classification 1
  • probability_maps 1
  • protein coding genes 1
  • polymorphic sites 1
  • polymorphic 1
  • polymut 1
  • chromosome_visualization 1
  • subcontigs 1
  • nucleotide composition 1
  • concoct 1
  • pmdtools 1
  • rocplot 1
  • pretext 1
  • jpg 1
  • bmp 1
  • contact maps 1
  • genome 0
  • gatk4 0
  • sam 0
  • structural variants 0
  • gff 0
  • variants 0
  • qc 0
  • quality control 0
  • gtf 0
  • nanopore 0
  • classify 0
  • cnv 0
  • split 0
  • k-mer 0
  • variant 0
  • taxonomy 0
  • taxonomic profiling 0
  • pacbio 0
  • sentieon 0
  • somatic 0
  • conversion 0
  • convert 0
  • clustering 0
  • VCF 0
  • single-cell 0
  • copy number 0
  • imputation 0
  • rnaseq 0
  • phylogeny 0
  • trimming 0
  • bedtools 0
  • bisulfite 0
  • bcftools 0
  • sv 0
  • gvcf 0
  • reporting 0
  • variation graph 0
  • isoseq 0
  • methylation 0
  • indexing 0
  • databases 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
  • stats 0
  • serotype 0
  • sequences 0
  • 5mC 0
  • metrics 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
  • samtools 0
  • WGBS 0
  • haplotype 0
  • example 0
  • structure 0
  • pangenome graph 0
  • matrix 0
  • plot 0
  • expression 0
  • amr 0
  • cluster 0
  • bisulfite sequencing 0
  • mappability 0
  • transcriptome 0
  • LAST 0
  • bwa 0
  • plink2 0
  • low-coverage 0
  • transcript 0
  • genotype 0
  • bcf 0
  • seqkit 0
  • cooler 0
  • phasing 0
  • gzip 0
  • germline 0
  • iCLIP 0
  • annotate 0
  • sequence 0
  • gene 0
  • mmseqs2 0
  • db 0
  • biscuit 0
  • decompression 0
  • ncbi 0
  • hmmer 0
  • ucsc 0
  • gff3 0
  • feature 0
  • newick 0
  • umi 0
  • genotyping 0
  • peaks 0
  • evaluation 0
  • kraken2 0
  • msa 0
  • blast 0
  • bismark 0
  • glimpse 0
  • population genetics 0
  • hmmsearch 0
  • dedup 0
  • sketch 0
  • reads 0
  • json 0
  • demultiplexing 0
  • mitochondria 0
  • cnvkit 0
  • snp 0
  • profile 0
  • report 0
  • differential 0
  • multiple sequence alignment 0
  • low frequency variant calling 0
  • antimicrobial peptides 0
  • prokaryote 0
  • bedGraph 0
  • deduplication 0
  • kmers 0
  • prediction 0
  • scRNA-seq 0
  • single 0
  • splicing 0
  • vsearch 0
  • extract 0
  • NCBI 0
  • duplicates 0
  • antimicrobial resistance genes 0
  • tumor-only 0
  • mirna 0
  • benchmark 0
  • ptr 0
  • distance 0
  • mem 0
  • concatenate 0
  • interval 0
  • single cell 0
  • tabular 0
  • fastx 0
  • csv 0
  • de novo 0
  • FASTQ 0
  • text 0
  • mutect2 0
  • kallisto 0
  • arg 0
  • summary 0
  • ont 0
  • call 0
  • MAF 0
  • sourmash 0
  • counts 0
  • indels 0
  • svtk 0
  • structural 0
  • coptr 0
  • wxs 0
  • antibiotic resistance 0
  • compare 0
  • idXML 0
  • adapters 0
  • mpileup 0
  • reference-free 0
  • 3-letter genome 0
  • clipping 0
  • merging 0
  • query 0
  • gridss 0
  • riboseq 0
  • view 0
  • ccs 0
  • family 0
  • bedpe 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
  • ganon 0
  • ATAC-seq 0
  • add 0
  • microsatellite 0
  • union 0
  • retrotransposon 0
  • isomir 0
  • compress 0
  • bgzip 0
  • telomere 0
  • skani 0
  • interval_list 0
  • deep learning 0
  • paf 0
  • haplotypecaller 0
  • resistance 0
  • pypgx 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
  • DNA sequencing 0
  • umitools 0
  • parsing 0
  • BGC 0
  • public datasets 0
  • clean 0
  • ranking 0
  • phylogenetic placement 0
  • targeted sequencing 0
  • SV 0
  • genmod 0
  • DNA sequence 0
  • mtDNA 0
  • sample 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
  • 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
  • covid 0
  • benchmarking 0
  • dictionary 0
  • lineage 0
  • polishing 0
  • indel 0
  • PCA 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
  • aln 0
  • bwameth 0
  • npz 0
  • windowmasker 0
  • amplicon sequences 0
  • hi-c 0
  • nucleotide 0
  • mkfastq 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
  • 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
  • chimeras 0
  • PacBio 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
  • notebook 0
  • reports 0
  • ataqv 0
  • informative sites 0
  • kinship 0
  • identity 0
  • relatedness 0
  • repeat expansion 0
  • virulence 0
  • krona chart 0
  • survivor 0
  • miRNA 0
  • cool 0
  • pseudoalignment 0
  • dist 0
  • dump 0
  • lossless 0
  • observations 0
  • shapeit 0
  • khmer 0
  • krona 0
  • prefetch 0
  • wastewater 0
  • atac-seq 0
  • tabix 0
  • ambient RNA removal 0
  • chip-seq 0
  • ligate 0
  • population genomics 0
  • cfDNA 0
  • uLTRA 0
  • gstama 0
  • profiles 0
  • ichorcna 0
  • mash 0
  • tama 0
  • pigz 0
  • bustools 0
  • refine 0
  • gene set 0
  • trancriptome 0
  • gene set analysis 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
  • instrain 0
  • pair 0
  • long terminal repeat 0
  • trgt 0
  • cgMLST 0
  • regression 0
  • taxids 0
  • SimpleAF 0
  • taxon name 0
  • zlib 0
  • differential expression 0
  • variation 0
  • vg 0
  • vcflib 0
  • ampgram 0
  • amptransformer 0
  • orthologs 0
  • WGS 0
  • dereplicate 0
  • taxon tables 0
  • otu tables 0
  • standardisation 0
  • standardise 0
  • standardization 0
  • repeats 0
  • svdb 0
  • de novo assembler 0
  • small genome 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
  • mitochondrion 0
  • orf 0
  • leviosam2 0
  • lift 0
  • metamaps 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
  • Streptococcus pneumoniae 0
  • sequenzautils 0
  • transformation 0
  • rename 0
  • salmonella 0
  • smrnaseq 0
  • varcal 0
  • fusions 0
  • Pharmacogenetics 0
  • scaffold 0
  • fixmate 0
  • retrotransposons 0
  • dict 0
  • collate 0
  • bam2fq 0
  • frame-shift correction 0
  • long-read sequencing 0
  • scaffolding 0
  • sequence analysis 0
  • junctions 0
  • pharmacogenetics 0
  • runs_of_homozygosity 0
  • polish 0
  • taxonomic profile 0
  • assembly evaluation 0
  • concordance 0
  • duplex 0
  • deconvolution 0
  • 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
  • gatk 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
  • calling 0
  • cnv calling 0
  • immunoprofiling 0
  • structural-variant calling 0
  • cvnkit 0
  • vdj 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
  • htseq 0
  • inbreeding 0
  • shiftBed 0
  • multinterval 0
  • sompy 0
  • overlapped bed 0
  • maskfasta 0
  • peak picking 0
  • drep 0
  • homology 0
  • co-orthology 0
  • clumping fastqs 0
  • deduping 0
  • plastid 0
  • smaller fastqs 0
  • resfinder 0
  • resistance genes 0
  • raw 0
  • mgf 0
  • parquet 0
  • parser 0
  • dbsnp 0
  • standardize 0
  • quarto 0
  • masking 0
  • python 0
  • r 0
  • low-complexity 0
  • coexpression 0
  • correlation 0
  • corpcor 0
  • GFF/GTF 0
  • assay 0
  • trio binning 0
  • tandem repeats 0
  • phylogenetics 0
  • minimum_evolution 0
  • parallel 0
  • csi 0
  • Read coverage histogram 0
  • biallelic 0
  • sequence similarity 0
  • spectral clustering 0
  • agat 0
  • longest 0
  • comparative genomics 0
  • isoform 0
  • autozygosity 0
  • homozygosity 0
  • 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
  • hifi 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
  • 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
  • chloroplast 0
  • confidence 0
  • blat 0
  • alr 0
  • clr 0
  • Salmonella enterica 0
  • boxcox 0
  • sorted 0
  • bgen file 0
  • Escherichia coli 0
  • createreadcountpanelofnormals 0
  • workflow_mode 0
  • pangenome-scale 0
  • yahs 0
  • all versus all 0
  • mashmap 0
  • wavefront 0
  • 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
  • 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
  • mzML 0
  • microRNA 0
  • multiqc 0
  • mass_error 0
  • search engine 0
  • poolseq 0
  • variant-calling 0
  • vsearch/dereplicate 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
  • xml 0
  • svg 0
  • standard 0
  • haplotag 0
  • atlas 0
  • targz 0
  • Computational Immunology 0
  • bias 0
  • scanpy 0
  • nuclear contamination estimate 0
  • fix 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
  • 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
  • controlstatistics 0
  • source tracking 0
  • emoji 0
  • regex 0
  • paired reads re-pairing 0
  • installation 0
  • doublet_detection 0
  • barcodes 0
  • doCounts 0
  • subsetting 0
  • logFC 0
  • significance statistic 0
  • p-value 0
  • scvi 0
  • solo 0
  • redundant 0
  • hmmpress 0
  • identity-by-descent 0
  • go 0
  • scimap 0
  • Bayesian 0
  • host removal 0
  • structural-variants 0
  • omics 0
  • biological activity 0
  • bamtools/split 0
  • prior knowledge 0
  • tag 0
  • cell_barcodes 0
  • haploype 0
  • mygene 0
  • yaml 0
  • associations 0
  • impute 0
  • bedgraphtobigwig 0
  • bamtools/convert 0
  • reference compression 0
  • pile up 0
  • mouse 0
  • reference panel 0
  • bacphlip 0
  • virulent 0
  • nanopore sequencing 0
  • rna velocity 0
  • cobra 0
  • spatial_neighborhoods 0
  • Indel 0
  • grea 0
  • seqfu 0
  • multi-tool 0
  • predict 0
  • 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
  • element 0
  • trimBam 0
  • bamUtil 0
  • shuffleBed 0
  • SNV 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
  • regulatory network 0
  • transcription factors 0
  • paraphase 0
  • selector 0
  • size 0
  • Pacbio 0
  • quality check 0
  • realign 0
  • circular 0
  • phylogenies 0
  • hmmscan 0
  • orthogroup 0
  • featuretable 0
  • extraction 0
  • AC/NS/AF 0
  • functional enrichment 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
  • 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
  • duplicate removal 0
  • bedtointervallist 0
  • mash/sketch 0
  • calibratedragstrmodel 0
  • reduced 0
  • representations 0
  • getpileupsummaries 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
  • composestrtablefile 0
  • short variant discovery 0
  • combinegvcfs 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
  • gget 0
  • genome statistics 0
  • genome manipulation 0
  • genome summary 0
  • tama_collapse.py 0
  • gfastats 0
  • TAMA 0
  • gvcftools 0
  • Mykrobe 0
  • gstama/merge 0
  • Salmonella Typhi 0
  • repeat content 0
  • gstama/polyacleanup 0
  • GTDB taxonomy 0
  • genome heterozygosity 0
  • genome taxonomy database 0
  • archaea 0
  • genome size 0
  • gunc 0
  • gunzip 0
  • models 0
  • shiftfasta 0
  • hmtnote 0
  • reorder 0
  • Klebsiella 0
  • readorientationartifacts 0
  • learnreadorientationmodel 0
  • indexfeaturefile 0
  • readcountssummary 0
  • getpileupsumaries 0
  • kallisto/index 0
  • quant 0
  • germlinevariantsites 0
  • germlinecnvcaller 0
  • germline contig ploidy 0
  • digital normalization 0
  • k-mer counting 0
  • effective genome size 0
  • pneumoniae 0
  • jupytext 0
  • panelofnormalscreation 0
  • kegg 0
  • kofamscan 0
  • jointgenotyping 0
  • combining 0
  • genomicsdbimport 0
  • genomicsdb 0
  • gatherbqsrreports 0
  • tranche filtering 0
  • filtervarianttranches 0
  • filterintervals 0
  • estimatelibrarycomplexity 0
  • duplication metrics 0
  • papermill 0
  • Jupyter 0
  • annotations 0
  • 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
  • Python 0
  • reblockgvcf 0
  • printsvevidence 0
  • printreads 0
  • interproscan 0
  • preprocessintervals 0
  • postprocessgermlinecnvcalls 0
  • genomic islands 0
  • insertion 0
  • snvs 0
  • mutectstats 0
  • mergebamalignment 0
  • leftalignandtrimvariants 0
  • jasminesv 0
  • jasmine 0
  • PCR/optical duplicates 0
  • upper-triangular matrix 0
  • sequencing adapters 0
  • custom 0
  • sertotype 0
  • interleave 0
  • header 0
  • seq 0
  • na 0
  • selection 0
  • random draw 0
  • pseudohaploid 0
  • pseudodiploid 0
  • freqsum 0
  • bam2seqz 0
  • gc_wiggle 0
  • induce 0
  • sex determination 0
  • sequence headers 0
  • genetic sex 0
  • relative coverage 0
  • Cores 0
  • Segmentation 0
  • rare variants 0
  • error 0
  • TMA dearray 0
  • de-novo 0
  • longread 0
  • sha256 0
  • 256 bit 0
  • UNet 0
  • shinyngs 0
  • cls 0
  • grep 0
  • boxplot 0
  • scramble 0
  • amplicon 0
  • ampliconclip 0
  • scatterplot 0
  • calmd 0
  • corrrelation 0
  • faidx 0
  • track 0
  • insert size 0
  • repair 0
  • paired 0
  • read pairs 0
  • readgroup 0
  • paired-end 0
  • cluster analysis 0
  • subseq 0
  • clusteridentifier 0
  • peak-caller 0
  • cut&tag 0
  • cut&run 0
  • chromatin 0
  • seacr 0
  • pcr duplicates 0
  • assembly-binning 0
  • applyvarcal 0
  • 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
  • detecting svs 0
  • short-read sequencing 0
  • svtk/baftest 0
  • baftest 0
  • countsvtypes 0
  • rdtest 0
  • antitarget 0
  • vcf2bed 0
  • decompress 0
  • polya tail 0
  • fast5 0
  • Mycobacterium tuberculosis 0
  • chromosomal rearrangements 0
  • eucaryotes 0
  • coding 0
  • cds 0
  • transcroder 0
  • access 0
  • fracminhash sketch 0
  • features 0
  • cload 0
  • mcool 0
  • sliding window 0
  • genomic bins 0
  • makebins 0
  • CRAM 0
  • SMN1 0
  • SMN2 0
  • POA 0
  • sniffles 0
  • core 0
  • snippy 0
  • enzyme 0
  • digest 0
  • cooler/balance 0
  • hash sketch 0
  • dbnsfp 0
  • predictions 0
  • SNPs 0
  • invariant 0
  • constant 0
  • partition histograms 0
  • rRNA 0
  • ribosomal RNA 0
  • target 0
  • export 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
  • 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
  • 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
  • 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

Post-processing script of the MaltExtract component of the HOPS package

000

json summary_pdf tsv candidate_pdfs versions

Alignment by Simultaneous Harmonization of Layer/Adjacency Registration

0100

tif versions

Estimate the post-mortem damage patterns of DNA

012300

empiric exponential counts table versions

atlas:

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

Use deamination patterns to estimate contamination in single-stranded libraries

010101

txt versions

authentict:

Estimates present-day DNA contamination in ancient DNA single-stranded libraries.

Pixel-by-pixel channel subtraction scaled by exposure times of pre-stitched tif images.

0101

backsub_tif markerout versions

Annotation of bacterial genomes (isolates, MAGs) and plasmids

01000

embl faa ffn fna gbff gff hypotheticals_tsv hypotheticals_faa tsv txt versions

bakta:

Rapid & standardized annotation of bacterial genomes, MAGs & plasmids.

Downloads BAKTA database from Zenodo

NO input

db versions

bakta:

Rapid & standardized annotation of bacterial genomes, MAGs & plasmids

Render an assembly graph in GFA 1.0 format to PNG and SVG image formats

01

png svg versions

bandage:

Bandage - a Bioinformatics Application for Navigating De novo Assembly Graphs Easily

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

Taxonomic classification of long DNA sequences and metagenome assembled genomes (e.g. MAGs / bins).

0101

txt versions

catpack:

CAT/BAT: tool for taxonomic classification of contigs and metagenome-assembled genomes (MAGs)

Taxonomic classification of long DNA sequences and metagenome assembled genomes (e.g. MAGs / bins).

0101010101

orf2lca bin2classification log diamond faa gff versions

catpack:

CAT/BAT: tool for taxonomic classification of contigs and metagenome-assembled genomes (MAGs)

Taxonomic classification of long DNA sequences and metagenome assembled genomes (e.g. contigs, MAGs / bins).

0101010101

orf2lca contig2classification log diamond faa gff versions

catpack:

CAT/BAT: tool for taxonomic classification of contigs and metagenome-assembled genomes (MAGs)

Downloads the required files for either Nr or GTDB for building into a CAT database

01

rawdb versions

catpack:

CAT/BAT: tool for taxonomic classification of contigs and metagenome-assembled genomes (MAGs)

Creates a CAT_pack database based on input FASTAs

01000

db taxonomy versions versions

catpack:

CAT/BAT: tool for taxonomic classification of contigs and metagenome-assembled genomes (MAGs)

Taxonomic classification plus read-based abundance estimation from long DNA sequences and metagenome assembled genomes (e.g. contigs, MAGs / bins).

0101010101001010101010101

rat_log complete_abundance contig_abundance read2classification alignment_diamond contig2classification cat_log orf2lca faa gff unmapped_diamond unmapped_fasta unmapped2classification versions

catpack:

CAT/BAT: tool for taxonomic classification of contigs and metagenome-assembled genomes (MAGs)

Summarises results from CAT/BAT/RAT classification steps

0101

txt versions

catpack:

CAT/BAT: tool for taxonomic classification of contigs and metagenome-assembled genomes (MAGs)

Unsupervised machine learning for cell type identification in multiplexed imaging using protein expression and cell neighborhood information without ground truth

01000

celltypes quality versions

cellpose segments cells in images

010

mask flows versions

CheckM provides a set of tools for assessing the quality of genomes recovered from isolates, single cells, or metagenomes.

0100

checkm_output marker_file checkm_tsv versions

checkm:

Assess the quality of microbial genomes recovered from isolates, single cells, and metagenomes.

CheckM provides a set of tools for assessing the quality of genomes recovered from isolates, single cells, or metagenomes.

01230

output fasta versions

checkm:

Assess the quality of microbial genomes recovered from isolates, single cells, and metagenomes.

CheckM2 database download

0

database versions

checkm2:

CheckM2 - Rapid assessment of genome bin quality using machine learning

CheckM2 bin quality prediction

0101

checkm2_output checkm2_tsv versions

checkm2:

CheckM2 - Rapid assessment of genome bin quality using machine learning

Construct the database necessary for checkv's quality assessment

NO input

checkv_db versions

checkv:

Assess the quality of metagenome-assembled viral genomes.

Assess the quality of metagenome-assembled viral genomes.

010

quality_summary completeness contamination complete_genomes proviruses viruses versions

checkv:

Assess the quality of metagenome-assembled viral genomes.

Construct the database necessary for checkv's quality assessment

010

checkv_db versions

checkv:

Assess the quality of metagenome-assembled viral genomes.

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

01010101010101

plots versions

Calculates polymorphic site rates over protein coding genes

01234

polymut versions

cmseq:

Set of utilities on sequences and BAM files

Unsupervised binning of metagenomic contigs by using nucleotide composition - kmer frequencies - and coverage data for multiple samples

012

args_txt clustering_csv log_txt original_data_csv pca_components_csv pca_transformed_csv versions

concoct:

Clustering cONtigs with COverage and ComposiTion

Generate the input coverage table for CONCOCT using a BEDFile

0123

tsv versions

concoct:

Clustering cONtigs with COverage and ComposiTion

Cut up fasta file in non-overlapping or overlapping parts of equal length.

010

fasta bed versions

concoct:

Clustering cONtigs with COverage and ComposiTion

Creates a FASTA file for each new cluster assigned by CONCOCT

012

fasta versions

concoct:

Clustering cONtigs with COverage and ComposiTion

Merge consecutive parts of the original contigs original cut up by cut_up_fasta.py

01

csv versions

concoct:

Clustering cONtigs with COverage and ComposiTion

A Java based tool to determine damage patterns on ancient DNA as a replacement for mapDamage

01000

results versions

Deepcell/mesmer segmentation for whole-cell

0101

mask versions

mesmer:

Deep cell is a collection of tools to segment imaging data

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

0123401010101

vcf vcf_tbi gvcf gvcf_tbi versions

Ilastik is a tool that utilizes machine learning algorithms to classify pixels, segment, track and count cells in images. Ilastik contains a graphical user interface to interactively label pixels. However, this nextflow module will implement the --headless mode, to apply pixel classification using a pre-trained .ilp file on an input image.

0120

mask versions

ilastik:

Ilastik is a user friendly tool that enables pixel classification, segmentation and analysis.

Ilastik is a tool that utilizes machine learning algorithms to classify pixels, segment, track and count cells in images. Ilastik contains a graphical user interface to interactively label pixels. However, this nextflow module will implement the --headless mode, to apply pixel classification using a pre-trained .ilp file on an input image.

01230

output versions

ilastik:

Ilastik is a user friendly tool that enables pixel classification, segmentation and analysis.

mageck count for functional genomics, reads are usually mapped to a specific sgRNA

010

count norm versions

mageck:

MAGeCK (Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout), an algorithm to process, QC, analyze and visualize CRISPR screening data.

maximum-likelihood analysis of gene essentialities computation

010

gene_summary sgrna_summary versions

mageck:

MAGeCK (Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout), an algorithm to process, QC, analyze and visualize CRISPR screening data.

Mageck test performs a robust ranking aggregation (RRA) to identify positively or negatively selected genes in functional genomics screens.

01

gene_summary sgrna_summary r_script versions

mageck:

MAGeCK (Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout), an algorithm to process, QC, analyze and visualize CRISPR screening data.

Multiple Sequence Alignment using Graph Clustering

01010

alignment versions

magus:

Multiple Sequence Alignment using Graph Clustering

Multiple Sequence Alignment using Graph Clustering

01

tree versions

magus:

Multiple Sequence Alignment using Graph Clustering

Tool for evaluation of MALT results for true positives of ancient metagenomic taxonomic screening

0100

results versions

Map short-reads to an indexed reference genome

01010000000

bam versions

mapad:

An aDNA aware short-read mapper

Computational framework for tracking and quantifying DNA damage patterns among ancient DNA sequencing reads generated by Next-Generation Sequencing platforms.

010

runtime_log fragmisincorporation_plot length_plot misincorporation lgdistribution dnacomp stats_out_mcmc_hist stats_out_mcmc_iter stats_out_mcmc_trace stats_out_mcmc_iter_summ_stat stats_out_mcmc_post_pred stats_out_mcmc_correct_prob dnacomp_genome rescaled pctot_freq pgtoa_freq fasta folder versions

MaxBin is a software that is capable of clustering metagenomic contigs

0123

binned_fastas summary abundance log marker_counts unbinned_fasta tooshort_fasta marker_bins marker_genes versions

Mcquant extracts single-cell data given a multi-channel image and a segmentation mask.

010101

csv versions

Staging module for MCMICRO transforming Imaging Mass Cytometry .txt files to .tif files with OME-XML metadata. Includes optional hot pixel removal.

01

tif versions

mcstaging:

Staging modules for MCMICRO

Staging module for MCMICRO transforming PhenoImager .tif files into stacked and normalized ome-tif files per cycle, compatible as ASHLAR input.

01

tif versions

mcstaging:

Staging modules for MCMICRO

marks duplicate spots along gridline edges.

01

marked_dups_spots versions

mindagap:

Takes a single panorama image and fills the empty grid lines with neighbour-weighted values.

Takes a single panorama image and fills the empty grid lines with neighbour-weighted values.

01

tiff versions

mindagap:

Mindagap is a collection of tools to process multiplexed FISH data, such as produced by Resolve Biosciences Molecular Cartography.

Contrast-limited adjusted histogram equalization (CLAHE) on single-channel tif images.

01

img_clahe versions

molkartgarage:

One-stop-shop for scripts and tools for processing data for molkart and spatial omics pipelines.

Visualise metagenome redundancy curves in PNG format from multiple Nonpareil npo files in a single image

01

png versions

nonpareil:

Estimate average coverage and create curves for metagenomic datasets

Create visualizations from a tsv coverage histogram created with panacus.

01

image versions

panacus:

panacus is a tool for computing counting statistics for GFA files

assembles bacterial plasmids

010

html tab images logs data database fasta_files kmer versions

pmdtools command to filter ancient DNA molecules from others

01200

bam versions

pmdtools:

Compute postmortem damage patterns and decontaminate ancient genomes

a module to generate images from Pretext contact maps.

01

image versions

Damage parameter estimation for ancient DNA

012

csv versions

pydamage:

Damage parameter estimation for ancient DNA

Damage parameter estimation for ancient DNA

01

csv versions

pydamage:

Damage parameter estimation for ancient DNA

Plot ROC curves from vcfeval ROC data files, either to an image, or an interactive GUI. The interactive GUI isn't possible for nextflow.

01

png svg versions

rtgtools:

RealTimeGenomics Tools -- Utilities for accurate VCF comparison and manipulation

sage is a search software for proteomics data

010101

results_tsv results_json results_pin versions tmt_tsv lfq_tsv

sageproteomics:

Proteomics searching so fast it feels like magic.

Module to use the 10x Space Ranger pipeline to process 10x spatial transcriptomics data

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outs versions

spaceranger:

Visium Spatial Gene Expression is a next-generation molecular profiling solution for classifying tissue based on total mRNA. Space Ranger is a set of analysis pipelines that process Visium Spatial Gene Expression data with brightfield and fluorescence microscope images. Space Ranger allows users to map the whole transcriptome in formalin fixed paraffin embedded (FFPE) and fresh frozen tissues to discover novel insights into normal development, disease pathology, and clinical translational research. Space Ranger provides pipelines for end to end analysis of Visium Spatial Gene Expression experiments.

Module to build a filtered GTF needed by the 10x Genomics Space Ranger tool. Uses the spaceranger mkgtf command.

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gtf versions

spaceranger:

Visium Spatial Gene Expression is a next-generation molecular profiling solution for classifying tissue based on total mRNA. Space Ranger is a set of analysis pipelines that process Visium Spatial Gene Expression data with brightfield and fluorescence microscope images. Space Ranger allows users to map the whole transcriptome in formalin fixed paraffin embedded (FFPE) and fresh frozen tissues to discover novel insights into normal development, disease pathology, and clinical translational research. Space Ranger provides pipelines for end to end analysis of Visium Spatial Gene Expression experiments.

Module to build the reference needed by the 10x Genomics Space Ranger tool. Uses the spaceranger mkref command.

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reference versions

spaceranger:

Visium Spatial Gene Expression is a next-generation molecular profiling solution for classifying tissue based on total mRNA. Space Ranger is a set of analysis pipelines that process Visium Spatial Gene Expression data with brightfield and fluorescence microscope images. Space Ranger allows users to map the whole transcriptome in formalin fixed paraffin embedded (FFPE) and fresh frozen tissues to discover novel insights into normal development, disease pathology, and clinical translational research. Space Ranger provides pipelines for end to end analysis of Visium Spatial Gene Expression experiments.

Spotiflow, accurate and efficient spot detection with stereographic flow.

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spots versions

Cell and nuclear segmentation with star-convex shapes

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mask versions

Create fasta consensus with TOPAS toolkit with options to penalize substitutions for typical DNA damage present in ancient DNA

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fasta vcf ccf log versions

topas:

This toolkit allows the efficient manipulation of sequence data in various ways. It is organized into modules: The FASTA processing modules, the FASTQ processing modules, the GFF processing modules and the VCF processing modules.

Extracting sequences that were unbinnned by vRhyme into a FASTA file

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unbinned_sequences versions

vrhyme:

vRhyme functions by utilizing coverage variance comparisons and supervised machine learning classification of sequence features to construct viral metagenome-assembled genomes (vMAGs).

Linking bins output by vRhyme to create one sequences per bin

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linked_bins versions

vrhyme:

vRhyme functions by utilizing coverage variance comparisons and supervised machine learning classification of sequence features to construct viral metagenome-assembled genomes (vMAGs).

Binning virus genomes from metagenomes

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bins membership summary versions

vrhyme:

vRhyme functions by utilizing coverage variance comparisons and supervised machine learning classification of sequence features to construct viral metagenome-assembled genomes (vMAGs).

The xeniumranger import-segmentation module allows you to specify 2D nuclei and/or cell segmentation results for assigning transcripts to cells and recalculate all Xenium Onboard Analysis (XOA) outputs that depend on segmentation. Segmentation results can be generated by community-developed tools or prior Xenium segmentation result.

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outs versions

xeniumranger:

Xenium Ranger is a set of analysis pipelines that process Xenium In Situ Gene Expression data to relabel, resegment, or import new segmentation results from community-developed tools. Xenium Ranger provides flexible off-instrument reanalysis of Xenium In Situ data. Relabel transcripts, resegment cells with the latest 10x segmentation algorithms, or import your own segmentation data to assign transcripts to cells.

The xeniumranger resegment module allows you to generate a new segmentation of the morphology image space by rerunning the Xenium Onboard Analysis (XOA) segmentation algorithms with modified parameters.

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outs versions

xeniumranger:

Xenium Ranger is a set of analysis pipelines that process Xenium In Situ Gene Expression data to relabel, resegment, or import new segmentation results from community-developed tools. Xenium Ranger provides flexible off-instrument reanalysis of Xenium In Situ data. Relabel transcripts, resegment cells with the latest 10x segmentation algorithms, or import your own segmentation data to assign transcripts to cells.

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