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Showing module(s) with keyword "bacteria"

Module Keywords Description
nf-core/abricate/run bacteria assembly antimicrobial resistance Screen assemblies for antimicrobial resistance against multiple databases
nf-core/abricate/summary bacteria assembly antimicrobial reistance Screen assemblies for antimicrobial resistance against multiple databases
nf-core/abritamr/run bacteria fasta antibiotic resistance A NATA accredited tool for reporting the presence of antimicrobial resistance genes in bacterial genomes
nf-core/amrfinderplus/run bacteria fasta antibiotic resistance Identify antimicrobial resistance in gene or protein sequences
nf-core/amrfinderplus/update bacteria fasta antibiotic resistance Identify antimicrobial resistance in gene or protein sequences
nf-core/antismash/antismash secondary metabolites BGC biosynthetic gene cluster genome mining NRPS RiPP antibiotics prokaryotes bacteria eukaryotes fungi antismash antiSMASH allows the rapid genome-wide identification, annotation and analysis of secondary metabolite biosynthesis gene clusters.
nf-core/antismash/antismashdownloaddatabases secondary metabolites BGC biosynthetic gene cluster genome mining NRPS RiPP antibiotics prokaryotes bacteria eukaryotes fungi antismash database antiSMASH allows the rapid genome-wide identification, annotation and analysis of secondary metabolite biosynthesis gene clusters. This module downloads the antiSMASH databases for conda and docker/singularity runs.
nf-core/antismash/antismashlite secondary metabolites BGC biosynthetic gene cluster genome mining NRPS RiPP antibiotics prokaryotes bacteria eukaryotes fungi antismash antiSMASH allows the rapid genome-wide identification, annotation and analysis of secondary metabolite biosynthesis gene clusters.
nf-core/antismash/antismashlitedownloaddatabases secondary metabolites BGC biosynthetic gene cluster genome mining NRPS RiPP antibiotics prokaryotes bacteria eukaryotes fungi antismash database antiSMASH allows the rapid genome-wide identification, annotation and analysis of secondary metabolite biosynthesis gene clusters. This module downloads the antiSMASH databases for conda and docker/singularity runs.
nf-core/bakta/bakta annotation fasta bacteria Annotation of bacterial genomes (isolates, MAGs) and plasmids
nf-core/bakta/baktadbdownload bakta annotation fasta bacteria database download Downloads BAKTA database from Zenodo
nf-core/deepbgc/download database download BGC biosynthetic gene cluster deep learning neural network random forest genomes bacteria fungi Database download module for DeepBGC which detects BGCs in bacterial and fungal genomes using deep learning.
nf-core/deepbgc/pipeline BGC biosynthetic gene cluster deep learning neural network random forest genomes bacteria fungi DeepBGC detects BGCs in bacterial and fungal genomes using deep learning.
nf-core/gapseq/doall metabolic model gap filling pathway prediction bacteria genome-scale model complete workflow Complete gapseq workflow from genome to gap-filled model
nf-core/gapseq/draft metabolic model draft reconstruction bacteria genome-scale model Create draft metabolic model from pathway and transporter predictions
nf-core/gapseq/fill metabolic model gap filling bacteria genome-scale model Perform gap filling on draft metabolic model
nf-core/gapseq/find metabolic pathways genomics bacteria pathway prediction Predict metabolic pathways from genomic data using gapseq
nf-core/gapseq/findtransport transporters genomics bacteria transporter prediction Predict transporters from genomic data using gapseq
nf-core/gtdbtk/classifywf GTDB taxonomy taxonomic classification metagenomics classification genome taxonomy database bacteria archaea GTDB-Tk is a software toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes based on the Genome Database Taxonomy GTDB.
nf-core/gtdbtk/gtdbtoncbimajorityvote gtdb taxonomy ncbi taxonomy taxonomic classification conversion taxonomy classification genome taxonomy database bacteria archaea Converts the output classifications of GTDB-TK from GTDB taxonomy to NCBI taxonomy