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.

  • bam 9
  • fasta 4
  • genomics 4
  • sort 4
  • snp 4
  • ngscheckmate 4
  • matching 4
  • vcf 3
  • cram 3
  • qc 3
  • QC 3
  • angsd 3
  • fastq 2
  • genome 2
  • reference 2
  • copy number 2
  • expression 2
  • plot 2
  • validation 2
  • population genetics 2
  • NCBI 2
  • differential 2
  • STR 2
  • prefetch 2
  • sequenzautils 2
  • smrnaseq 2
  • fasterq-dump 2
  • sra-tools 2
  • settings 2
  • metagenomics 1
  • index 1
  • alignment 1
  • assembly 1
  • annotation 1
  • bacteria 1
  • map 1
  • statistics 1
  • classification 1
  • k-mer 1
  • clustering 1
  • ancient DNA 1
  • rnaseq 1
  • trimming 1
  • mapping 1
  • serotype 1
  • taxonomic classification 1
  • metrics 1
  • cluster 1
  • scWGBS 1
  • WGBS 1
  • amr 1
  • DNA methylation 1
  • filtering 1
  • example 1
  • biscuit 1
  • aligner 1
  • sequence 1
  • bwa 1
  • seqkit 1
  • bisulfite sequencing 1
  • genotyping 1
  • prokaryote 1
  • short-read 1
  • mirna 1
  • plasmid 1
  • prediction 1
  • json 1
  • adapters 1
  • merging 1
  • genome assembler 1
  • pypgx 1
  • propr 1
  • logratio 1
  • observations 1
  • replace 1
  • insert 1
  • mlst 1
  • PCA 1
  • small genome 1
  • de novo assembler 1
  • proportionality 1
  • Streptococcus pneumoniae 1
  • repeat_expansions 1
  • pharmacogenetics 1
  • xenograft 1
  • short reads 1
  • deseq2 1
  • rna-seq 1
  • ribosomal RNA 1
  • rRNA 1
  • md 1
  • nm 1
  • uq 1
  • Illumina 1
  • microRNA 1
  • genotype likelihood 1
  • circular 1
  • realign 1
  • coexpression 1
  • correlation 1
  • corpcor 1
  • gangstr 1
  • GTDB taxonomy 1
  • archaea 1
  • genome taxonomy database 1
  • allele counts 1
  • nuclear contamination estimate 1
  • doCounts 1
  • sortvcf 1
  • gc_wiggle 1
  • bam2seqz 1
  • features 1
  • density 1
  • boxplot 1
  • exploratory 1
  • shinyngs 1
  • sequence headers 1
  • damage patterns 1
  • NGS 1
  • DNA damage 1
  • gender 1
  • pbmerge 1
  • pbbam 1
  • bed 0
  • gatk4 0
  • sam 0
  • structural variants 0
  • variant calling 0
  • database 0
  • filter 0
  • align 0
  • merge 0
  • gff 0
  • coverage 0
  • variants 0
  • quality control 0
  • nanopore 0
  • download 0
  • gtf 0
  • classify 0
  • cnv 0
  • variant 0
  • split 0
  • MSA 0
  • taxonomy 0
  • taxonomic profiling 0
  • gfa 0
  • contamination 0
  • somatic 0
  • sentieon 0
  • pacbio 0
  • convert 0
  • conversion 0
  • quality 0
  • count 0
  • binning 0
  • proteomics 0
  • VCF 0
  • single-cell 0
  • bedtools 0
  • phylogeny 0
  • contigs 0
  • long reads 0
  • imputation 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
  • databases 0
  • methylation 0
  • stats 0
  • phage 0
  • sequences 0
  • demultiplex 0
  • openms 0
  • imaging 0
  • plink2 0
  • 5mC 0
  • antimicrobial resistance 0
  • depth 0
  • tsv 0
  • haplotype 0
  • pangenome graph 0
  • markduplicates 0
  • histogram 0
  • neural network 0
  • structure 0
  • base quality score recalibration 0
  • samtools 0
  • matrix 0
  • protein sequence 0
  • pairs 0
  • searching 0
  • repeat 0
  • aDNA 0
  • bins 0
  • machine learning 0
  • mmseqs2 0
  • bcf 0
  • completeness 0
  • low-coverage 0
  • mappability 0
  • phasing 0
  • transcript 0
  • annotate 0
  • checkm 0
  • virus 0
  • metagenome 0
  • gzip 0
  • palaeogenomics 0
  • cooler 0
  • LAST 0
  • transcriptome 0
  • gene 0
  • genotype 0
  • archaeogenomics 0
  • damage 0
  • iCLIP 0
  • germline 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
  • 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
  • csv 0
  • extract 0
  • bedGraph 0
  • multiple sequence alignment 0
  • tumor-only 0
  • deduplication 0
  • report 0
  • single 0
  • cnvkit 0
  • duplicates 0
  • pangenome 0
  • antimicrobial peptides 0
  • splicing 0
  • scRNA-seq 0
  • low frequency variant calling 0
  • mitochondria 0
  • kmers 0
  • profile 0
  • mpileup 0
  • idXML 0
  • concatenate 0
  • fragment 0
  • diversity 0
  • profiling 0
  • svtk 0
  • mem 0
  • cat 0
  • kallisto 0
  • detection 0
  • riboseq 0
  • fastx 0
  • summary 0
  • text 0
  • counts 0
  • benchmark 0
  • MAF 0
  • gridss 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
  • hic 0
  • bin 0
  • bigwig 0
  • retrotransposon 0
  • archaeogenetics 0
  • cut 0
  • ganon 0
  • phylogenetic placement 0
  • containment 0
  • SV 0
  • sylph 0
  • isomir 0
  • bedpe 0
  • dna 0
  • HMM 0
  • hmmcopy 0
  • paf 0
  • telomere 0
  • compress 0
  • ccs 0
  • genmod 0
  • resistance 0
  • BGC 0
  • chunk 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
  • 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
  • chimeras 0
  • lossless 0
  • DRAMP 0
  • neubi 0
  • amplify 0
  • macrel 0
  • kinship 0
  • PacBio 0
  • ligate 0
  • rna_structure 0
  • RNA 0
  • virulence 0
  • identity 0
  • dist 0
  • transcripts 0
  • genome assembly 0
  • relatedness 0
  • score 0
  • shapeit 0
  • seqtk 0
  • RNA-seq 0
  • subsample 0
  • pseudoalignment 0
  • SNP 0
  • arriba 0
  • krona chart 0
  • rsem 0
  • reports 0
  • notebook 0
  • wastewater 0
  • amplicon sequencing 0
  • indel 0
  • dictionary 0
  • miRNA 0
  • eukaryotes 0
  • prokaryotes 0
  • spark 0
  • survivor 0
  • population genomics 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
  • 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
  • wig 0
  • png 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
  • mkfastq 0
  • nucleotide 0
  • C to T 0
  • dump 0
  • das tool 0
  • regions 0
  • roh 0
  • intervals 0
  • fingerprint 0
  • organelle 0
  • genomes 0
  • scaffold 0
  • converter 0
  • vrhyme 0
  • deeparg 0
  • scores 0
  • das_tool 0
  • graph layout 0
  • shigella 0
  • haplogroups 0
  • genetics 0
  • duplicate 0
  • functional analysis 0
  • copyratios 0
  • k-mer frequency 0
  • tnhaplotyper2 0
  • signature 0
  • interactions 0
  • rrna 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
  • mitochondrion 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
  • differential expression 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
  • refine 0
  • svdb 0
  • mudskipper 0
  • reformatting 0
  • iphop 0
  • orf 0
  • vg 0
  • bloom filter 0
  • rtgtools 0
  • instrain 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
  • bustools 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
  • 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
  • MCMICRO 0
  • graft 0
  • trim 0
  • allele-specific 0
  • mirdeep2 0
  • RNA sequencing 0
  • realignment 0
  • microbial 0
  • microscopy 0
  • Pharmacogenetics 0
  • deconvolution 0
  • bayesian 0
  • concat 0
  • tbi 0
  • intersect 0
  • normalize 0
  • norm 0
  • merge mate pairs 0
  • reads merging 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
  • cvnkit 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
  • blastn 0
  • spatial_omics 0
  • human removal 0
  • random forest 0
  • metagenomes 0
  • gene labels 0
  • structural-variant calling 0
  • hostile 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
  • chloroplast 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
  • metaspace 0
  • metabolite annotation 0
  • readwriter 0
  • mzML 0
  • snakemake 0
  • data-download 0
  • Immune Deconvolution 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
  • VCFtools 0
  • wget 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
  • spatial_neighborhoods 0
  • hashing-based deconvolution 0
  • tags 0
  • standard 0
  • impute-info 0
  • functional 0
  • scimap 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
  • 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
  • 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
  • extension 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
  • htseq 0
  • mgi 0
  • sompy 0
  • recovery 0
  • peak picking 0
  • leafcutter 0
  • homology 0
  • p-value 0
  • fastqfilter 0
  • translate 0
  • raw 0
  • mgf 0
  • tarball 0
  • parquet 0
  • parser 0
  • dbsnp 0
  • standardize 0
  • quarto 0
  • python 0
  • r 0
  • tar 0
  • jvarkit 0
  • resistance genes 0
  • setgt 0
  • ATACshift 0
  • assay 0
  • phylogenetics 0
  • shift 0
  • minimum_evolution 0
  • distance-based 0
  • ATACseq 0
  • nucleotide sequence 0
  • targz 0
  • resfinder 0
  • significance statistic 0
  • gaps 0
  • logFC 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
  • controlstatistics 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
  • 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
  • gget 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
  • extract_variants 0
  • gvcftools 0
  • gunzip 0
  • gunc 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
  • illumiation_correction 0
  • BCF 0
  • csi 0
  • deduping 0
  • smaller fastqs 0
  • clumping fastqs 0
  • background_correction 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
  • 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
  • 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
  • target 0
  • export 0
  • antitarget 0
  • access 0
  • protein coding genes 0
  • qa 0
  • polymorphic sites 0
  • polymorphic 0
  • polymut 0
  • chromosome_visualization 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
  • 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
  • error 0
  • rare variants 0
  • relative coverage 0
  • genetic sex 0
  • sex determination 0
  • induce 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
  • 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
  • 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
  • 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
  • jupytext 0
  • effective genome size 0
  • k-mer counting 0
  • digital normalization 0
  • quant 0
  • kallisto/index 0
  • papermill 0
  • Jupyter 0
  • probability_maps 0
  • Python 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
  • Neisseria gonorrhoeae 0
  • HLA-I 0
  • PCR/optical duplicates 0
  • NextGenMap 0
  • graphs 0
  • read 0
  • pair-end 0
  • pbp 0
  • subreads 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

Trim sequencing adapters and collapse overlapping reads

010

singles_truncated discarded paired_truncated collapsed collapsed_truncated paired_interleaved settings versions

A tool to estimate nuclear contamination in males based on heterozygosity in the female chromosome.

0101

txt versions

angsd:

ANGSD: Analysis of next generation Sequencing Data

Calculates base frequency statistics across reference positions from BAM.

0123

depth_sample depth_global qs pos counts icounts versions

angsd:

ANGSD: Analysis of next generation Sequencing Data

Calculated genotype likelihoods from BAM files.

010101

genotype_likelihood versions

angsd:

ANGSD: Analysis of next generation Sequencing Data

A fast, compact one-liner to produce duplicate-marked, sorted, and indexed BAM files using Biscuit

010101

bam bai versions

biscuit:

A utility for analyzing sodium bisulfite conversion-based DNA methylation/modification data

samblaster:

samblaster is a fast and flexible program for marking duplicates in read-id grouped paired-end SAM files. It can also optionally output discordant read pairs and/or split read mappings to separate SAM files, and/or unmapped/clipped reads to a separate FASTQ file. By default, samblaster reads SAM input from stdin and writes SAM to stdout.

samtools:

SAMtools is a set of utilities for interacting with and post-processing short DNA sequence read alignments in the SAM, BAM and CRAM formats, written by Heng Li. These files are generated as output by short read aligners like BWA.

A simple program to parse Illumina NGS data and check it for quality criteria

010

report versions

A method to improve mappings on circular genomes, using the BWA mapper.

010101

fasta elongated versions

circulargenerator:

Creating a modified reference genome, with an elongation of the an specified amount of bases

Realign reads mapped with BWA to elongated reference genome

01010101

bam versions

circularmapper:

A method to improve mappings on circular genomes such as Mitochondria.

Test for the presence of suitable NCBI settings or create them on the fly.

0

ncbi_settings versions

sratools:

SRA Toolkit and SDK from NCBI

Estimate repeat sizes using NGS data

012010101

vcf json bam versions

"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!"

GangSTR is a tool for genome-wide profiling tandem repeats from short reads.

012300

vcf samplestats versions

GTDB-Tk is a software toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes based on the Genome Database Taxonomy GTDB.

010100

summary tree markers msa user_msa filtered failed log warnings versions

gtdbtk:

GTDB-Tk is a software toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes based on the Genome Database Taxonomy GTDB.

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

A tool for quality control and tracing taxonomic origins of microRNA sequencing data

0120

html json tsv all_fa rnatype_unknown_fa versions

mirtrace:

miRTrace is a new quality control and taxonomic tracing tool developed specifically for small RNA sequencing data (sRNA-Seq). Each sample is characterized by profiling sequencing quality, read length, sequencing depth and miRNA complexity and also the amounts of miRNAs versus undesirable sequences (derived from tRNAs, rRNAs and sequencing artifacts). In addition to these routine quality control (QC) analyses, miRTrace can accurately and sensitively resolve taxonomic origins of small RNA-Seq data based on the composition of clade-specific miRNAs. This feature can be used to detect cross-clade contaminations in typical lab settings. It can also be applied for more specific applications in forensics, food quality control and clinical diagnosis, for instance tracing the origins of meat products or detecting parasitic microRNAs in host serum.

Determines the gender of a sample from the BAM/CRAM file.

01201010

tsv versions

ngsbits:

Short-read sequencing tools

Determining whether sequencing data comes from the same individual by using SNP matching. This module generates vaf files for individual fastq file(s), ready for the vafncm module.

0101

vaf versions

ngscheckmate:

NGSCheckMate is a software package for identifying next generation sequencing (NGS) data files from the same individual, including matching between DNA and RNA.

Determining whether sequencing data comes from the same individual by using SNP matching. Designed for humans on vcf or bam files.

010101

corr_matrix matched all pdf vcf versions

ngscheckmate:

NGSCheckMate is a software package for identifying next generation sequencing (NGS) data files from the same individual, including matching between DNA and RNA.

Determining whether sequencing data comes from the same individual by using SNP matching. This module generates PT files from a bed file containing individual positions.

010101

pt versions

ngscheckmate:

NGSCheckMate is a software package for identifying next generation sequencing (NGS) data files from the same individual, including matching between DNA and RNA.

Determining whether sequencing data comes from the same individual by using SNP matching. This module generates PT files from a bed file containing individual positions.

01

pdf corr_matrix all matched versions

ngscheckmate:

NGSCheckMate is a software package for identifying next generation sequencing (NGS) data files from the same individual, including matching between DNA and RNA.

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

01

bam pbi versions

pbbam:

PacBio BAM C++ library

Collect metrics about the insert size distribution of a paired-end library.

01

metrics histogram versions

picard:

Java tools for working with NGS data in the BAM format

This tool takes in a coordinate-sorted SAM or BAM and calculatesthe NM, MD, and UQ tags by comparing with the reference.

0101

bam bai versions

picard:

Java tools for working with NGS data in the BAM format

Sorts vcf files

010101

vcf versions

picard:

Java tools for working with NGS data in the BAM/CRAM/SAM and VCF format

Perform logratio-based correlation analysis -> get proportionality & basis shrinkage partial correlation coefficients. One can also compute standard correlation coefficients, if required.

01

propr matrix fdr adj warnings session_info versions

propr:

Logratio methods for omics data

corpcor:

Efficient Estimation of Covariance and (Partial) Correlation

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

Seqcluster collapse reduces computational complexity by collapsing identical sequences in a FASTQ file.

01

fastq versions

seqcluster:

Small RNA analysis from NGS data. Seqcluster generates a list of clusters of small RNA sequences, their genome location, their annotation and the abundance in all the sample of the project.

Use seqkit to find/replace strings within sequences and sequence headers

01

fastx versions

seqkit:

Cross-platform and ultrafast toolkit for FASTA/Q file manipulation, written by Wei Shen.

Sequenza-utils bam2seqz process BAM and Wiggle files to produce a seqz file

01200

seqz versions

sequenzautils:

Sequenza-utils provides 3 main command line programs to transform common NGS file format - such as FASTA, BAM - to input files for the Sequenza R package. The program - bam2seqz - process a paired set of BAM/pileup files (tumour and matching normal), and GC-content genome-wide information, to extract the common positions with A and B alleles frequencies.

Sequenza-utils gc_wiggle computes the GC percentage across the sequences, and returns a file in the UCSC wiggle format, given a fasta file and a window size.

01

wig versions

sequenzautils:

Sequenza-utils provides 3 main command line programs to transform common NGS file format - such as FASTA, BAM - to input files for the Sequenza R package. The program -gc_wiggle- takes fasta file as an input, computes GC percentage across the sequences and returns a file in the UCSC wiggle format.

Determine Streptococcus pneumoniae serotype from Illumina paired-end reads

01

tsv txt versions

seroba:

SeroBA is a k-mer based pipeline to identify the Serotype from Illumina NGS reads for given references.

build and deploy Shiny apps for interactively mining differential abundance data

01230120

app versions

shinyngs:

Provides Shiny applications for various array and NGS applications. Currently very RNA-seq centric, with plans for expansion.

Make plots for interpretation of differential abundance statistics

010123

volcanos_png volcanos_html versions

shinyngs:

Provides Shiny applications for various array and NGS applications. Currently very RNA-seq centric, with plans for expansion.

Make exploratory plots for analysis of matrix data, including PCA, Boxplots and density plots

0123

boxplots_png boxplots_html densities_png densities_html pca2d_png pca2d_html pca3d_png pca3d_html mad_png mad_html dendro versions

shinyngs:

Provides Shiny applications for various array and NGS applications. Currently very RNA-seq centric, with plans for expansion.

validate consistency of feature and sample annotations with matrices and contrasts

0120101

sample_meta feature_meta assays contrasts versions

shinyngs:

Provides Shiny applications for various array and NGS applications. Currently very RNA-seq centric, with plans for expansion.

Local sequence alignment tool for filtering, mapping and clustering.

010101

reads log index versions

SortMeRNA:

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

Assembles a small genome (bacterial, fungal, viral)

012300

scaffolds contigs transcripts gene_clusters gfa warnings log versions

Test for the presence of suitable NCBI settings or create them on the fly.

NO input

versions ncbi_settings

sratools:

SRA Toolkit and SDK from NCBI

Scans genome contigs against the ResFinder, PlasmidFinder, and PointFinder databases.

01

results_xlsx summary_tsv detailed_summary_tsv resfinder_tsv plasmidfinder_tsv mlst_tsv settings_txt pointfinder_tsv versions

staramr:

Scan genome contigs against the ResFinder and PointFinder databases. In order to use the PointFinder databases, you will have to add --pointfinder-organism ORGANISM to the ext.args options.

Fast lightweight accurate xenograft sorting

00000

hash info versions

xengsort:

A fast xenograft read sorter based on space-efficient k-mer hashing

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