Configure corto for WES k8s execution
- Update main.nf: hardcode Harbor container image, add workflow block, use PVC mount path defaults, remove stageInMode copy and legacy params - Update nextflow.config: add k8s profile with container, add process resource limits, update manifest to point to Gitea - Update params.json: use s3:// prefixed paths for WES, remove container_corto, containerOptions, and project_name params
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30
main.nf
30
main.nf
@@ -1,19 +1,21 @@
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#!/usr/bin/env nextflow
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nextflow.enable.dsl=2
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// Parameters
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params.TPM = '/omic/eureka/corto/20002_1289_female_patient_0_TPM.csv'
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params.regulon = '/omic/eureka/corto/regulon.rda'
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params.outdir = '/omic/eureka/corto/output'
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process CORTO {
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container "${params.container_corto}"
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containerOptions "${params.containerOptions}"
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publishDir "${params.outdir}/${params.project_name}", mode: 'copy'
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container 'harbor.cluster.omic.ai/omic/digital-patients/corto:latest'
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publishDir params.outdir, mode: 'copy'
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debug true
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// maxForks 1
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stageInMode 'copy'
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input:
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path TPM
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path regulon
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// path TPM_ref
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// Define output channels
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output:
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path "*_metabolome.csv", emit: csv_metabol
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@@ -24,21 +26,17 @@ process CORTO {
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library(data.table)
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TPM <- as.matrix(fread("$TPM"),rownames=1)
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#TPM_ref <- as.matrix(fread("TPM_ref"),rownames=1) #dollar sign is missing
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#try normalization; dont use
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#TPM <- scale(TPM)
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#TPM_log2 = log2(TPM + 1)
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load("$regulon")
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predicted<-mra(TPM, regulon=regulon)
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#use this if we want to compare patients and reference TPM, data formet output is not csv -> work on data saving if needed
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#predicted<-mra(TPM, path TPM_ref, regulon=regulon)
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predicted<-mra(TPM, regulon=regulon)
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name = strsplit(strsplit("$TPM", split = "/")[[1]][length(strsplit("$TPM", split = "/")[[1]])], split = "_TPM.csv")[[1]][1]
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name = paste(name, "_metabolome.csv", sep="")
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write.csv(predicted, name)
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"""
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}
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workflow {
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CORTO(Channel.of(file(params.TPM)), Channel.of(file(params.regulon)))
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}
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