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2 changes: 2 additions & 0 deletions modules/local/sra_to_samplesheet/main.nf
Original file line number Diff line number Diff line change
Expand Up @@ -44,6 +44,8 @@ process SRA_TO_SAMPLESHEET {
pipeline_map << [ replicate: 1 ]
} else if (pipeline == 'taxprofiler') {
pipeline_map << [ fasta: '' ]
} else if (pipeline == 'ampliseq'){
pipeline_map << [ run: '']
}
}
pipeline_map << meta_clone
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2 changes: 1 addition & 1 deletion nextflow_schema.json
Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,7 @@
"type": "string",
"fa_icon": "fab fa-apple",
"description": "Name of supported nf-core pipeline e.g. 'rnaseq'. A samplesheet for direct use with the pipeline will be created with the appropriate columns.",
"enum": ["rnaseq", "atacseq", "viralrecon", "taxprofiler"]
"enum": ["rnaseq", "atacseq", "viralrecon", "taxprofiler", "ampliseq"]
},
"nf_core_rnaseq_strandedness": {
"type": "string",
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55 changes: 55 additions & 0 deletions workflows/sra/tests/sra_nf_core_pipeline_ampliseq.nf.test
Original file line number Diff line number Diff line change
@@ -0,0 +1,55 @@
nextflow_workflow {

name "Test workflow: sra/main.nf"
script "../main.nf"
workflow "SRA"
tag "SRA_NF_CORE_PIPELINE_AMPLISEQ"

// Dependencies
tag "SRA_IDS_TO_RUNINFO"
tag "SRA_RUNINFO_TO_FTP"
tag "SRA_FASTQ_FTP"
tag "SRA_TO_SAMPLESHEET"
tag "MULTIQC_MAPPINGS_CONFIG"

test("Parameters: --nf_core_pipeline ampliseq") {

when {
workflow {
"""
input[0] = Channel.from("DRX026011", "ERX1234253", "SRX6725035")
"""
}
params {
nf_core_pipeline = "ampliseq"
}
}

then {
assert workflow.success

assertAll(
{
with(workflow.out.samplesheet) {
assert path(get(0)).readLines().size() == 4
assert path(get(0)).readLines()*.split(',')[0].take(4) == ['"sample', '"fastq_1"', '"fastq_2"', '"run"']
assert path(get(0)).readLines()*.split(',').collect { it[0] } == ['"sample"', '"DRX026011"', '"ERX1234253"', '"SRX6725035"']
assert path(get(0)).text.contains('Illumina HiSeq 2500')
}
},
{
with(workflow.out.mappings) {
assert path(get(0)).readLines().size() == 4
assert path(get(0)).readLines()*.split(',').collect { it[0] } == ['"sample"', '"DRX026011"', '"ERX1234253"', '"SRX6725035"']
assert path(get(0)).text.contains('Illumina HiSeq 2500')
}
},
{
with(workflow.out.sample_mappings) {
assert path(get(0)[0]).md5 == "1ac06bb95b503703430e74660bbdd768"
}
}
)
}
}
}
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