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Create ampir module
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43
modules/ampir/main.nf
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43
modules/ampir/main.nf
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process AMPIR {
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tag "$meta.id"
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label 'process_low'
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conda (params.enable_conda ? "conda-forge::r-ampir=1.1.0" : null)
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container "${ workflow.containerEngine == 'singularity' && !task.ext.singularity_pull_docker_container ?
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'https://depot.galaxyproject.org/singularity/r-ampir:1.1.0':
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'quay.io/biocontainers/r-ampir:1.1.0' }"
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input:
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tuple val(meta), path(faa)
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val cut_off
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val model
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val output_name
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output:
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tuple val(meta), path(output_name) , emit: amps
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path "versions.yml" , emit: versions
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when:
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task.ext.when == null || task.ext.when
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script:
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def args = task.ext.args ?: ''
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def prefix = task.ext.prefix ?: "${meta.id}"
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"""
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#!/usr/bin/env Rscript
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library(ampir)
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protein_seqs <- read_faa("${faa}")
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prediction <- predict_amps(protein_seqs, model = '$model')
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prediction <- protein_seqs[which(prediction\$prob_AMP >= as.integer($cut_off)), ]
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df_to_faa(protein_seqs, '$output_name')
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version_file_path <- "versions.yml"
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version_ampir <- paste(unlist(packageVersion("ampir")), collapse = ".")
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f <- file(version_file_path, "w")
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writeLines('"${task.process}":', f)
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writeLines(" ampir: ", f, sep = "")
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writeLines(version_ampir, f)
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close(f)
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"""
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}
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55
modules/ampir/meta.yml
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55
modules/ampir/meta.yml
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name: "ampir"
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description: A fast and user-friendly method to predict antimicrobial peptides (AMPs) from any given size protein dataset. ampir uses a supervised statistical machine learning approach to predict AMPs.
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keywords:
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- ampir
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- amp
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- antimicrobial peptide prediction
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tools:
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- "ampir":
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description: "A toolkit to predict antimicrobial peptides from protein sequences on a genome-wide scale."
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homepage: "https://github.com/Legana/ampir"
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documentation: "https://github.com/Legana/ampir"
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tool_dev_url: "https://github.com/Legana/ampir"
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doi: "10.1093/bioinformatics/btaa653"
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licence: ["GPL v2"]
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input:
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- meta:
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type: map
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description: |
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Groovy Map containing sample information
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e.g. [ id:'test', single_end:false ]
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- faa:
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type: file
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description: FASTA file containing amino acid sequences
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pattern: "*.{faa,fasta}"
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- model:
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type: value
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description: Model for AMP prediction
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pattern: "{precursor,mature}"
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- cut_off:
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type: value
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description: Cut-off for AMP prediction
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pattern: "[0-9][0-9]"
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output:
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- meta:
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type: map
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description: |
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Groovy Map containing sample information
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e.g. [ id:'test', single_end:false ]
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- versions:
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type: file
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description: File containing software versions
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pattern: "versions.yml"
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- amps:
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type: file
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description: File containing AMP predictions
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pattern: "prediction.fasta"
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- output_name:
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type: value
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description: File name of the FASTA output file
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pattern: "*.{faa,fasta}"
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authors:
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- "@jasmezz"
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@ -26,6 +26,10 @@ allelecounter:
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- modules/allelecounter/**
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- tests/modules/allelecounter/**
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ampir:
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- modules/ampir/**
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- tests/modules/ampir/**
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amplify/predict:
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- modules/amplify/predict/**
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- tests/modules/amplify/predict/**
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20
tests/modules/ampir/main.nf
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20
tests/modules/ampir/main.nf
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#!/usr/bin/env nextflow
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nextflow.enable.dsl = 2
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include { AMPIR } from '../../../modules/ampir/main.nf'
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workflow test_ampir {
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fasta = [ [ id:'test', single_end:false ], // meta map
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file(params.test_data['candidatus_portiera_aleyrodidarum']['genome']['proteome_fasta'], checkIfExists: true),
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]
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cut_off = "80"
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model = "precursor"
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output_name = "prediction.fasta"
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AMPIR ( fasta, cut_off, model, output_name )
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}
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5
tests/modules/ampir/nextflow.config
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5
tests/modules/ampir/nextflow.config
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process {
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publishDir = { "${params.outdir}/${task.process.tokenize(':')[-1].tokenize('_')[0].toLowerCase()}" }
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}
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9
tests/modules/ampir/test.yml
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9
tests/modules/ampir/test.yml
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- name: "ampir"
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command: nextflow run ./tests/modules/ampir -entry test_ampir -c ./tests/config/nextflow.config -c ./tests/modules/ampir/nextflow.config
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tags:
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- "ampir"
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files:
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- path: output/ampir/prediction.fasta
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md5sum: e605d38752fd90261c924d51f7007189
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- path: output/ampir/versions.yml
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md5sum: 4a11d25b8a904a7ffb34ae88f6826888
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