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main.nf
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#!/usr/bin/env nextflow
nextflow.enable.dsl = 2
import groovy.json.JsonBuilder
include { fastq_ingress } from './lib/fastqingress'
include { run_amr } from './modules/local/amr'
OPTIONAL_FILE = file("$projectDir/data/OPTIONAL_FILE")
process readStats {
label params.process_label
cpus 1
input:
tuple val(meta), path("align.bam"), path("align.bam.bai")
output:
path "*readstats.txt", emit: stats
"""
bamstats align.bam > "${meta.alias}.readstats.txt"
if [[ \$(wc -l <"${meta.alias}.readstats.txt") -le 1 ]]; then
echo "No alignments of reads to reference sequence found."
exit 1
fi
"""
}
process coverStats {
label params.process_label
cpus 2
input:
tuple val(meta), path("align.bam"), path("align.bam.bai")
output:
path "*fwd.regions.bed.gz", emit: fwd
path "*rev.regions.bed.gz", emit: rev
path "*total.regions.bed.gz", emit: all
"""
mosdepth -n --fast-mode --by 200 --flag 16 -t $task.cpus "${meta.alias}.fwd" align.bam
mosdepth -n --fast-mode --by 200 --include-flag 16 -t $task.cpus "${meta.alias}.rev" align.bam
mosdepth -n --fast-mode --by 200 -t $task.cpus "${meta.alias}.total" align.bam
"""
}
process deNovo {
label params.process_label
cpus params.threads
input:
tuple val(meta), path("reads.fastq.gz")
output:
tuple val(meta), path("${meta.alias}.draft_assembly.fasta.gz"), path("${meta.alias}_flye_stats.tsv")
script:
"""
flye --nano-raw reads.fastq.gz --out-dir output --threads "${task.cpus}"
mv output/assembly.fasta "./${meta.alias}.draft_assembly.fasta"
mv output/assembly_info.txt "./${meta.alias}_flye_stats.tsv"
bgzip "${meta.alias}.draft_assembly.fasta"
"""
}
process alignReads {
label params.process_label
cpus params.threads
input:
tuple val(meta), path("reads.fastq.gz"), path("ref.fasta.gz")
output:
tuple val(meta), path("*reads2ref.bam"), path("*reads2ref.bam.bai")
"""
mini_align -i reads.fastq.gz -r ref.fasta.gz -p "${meta.alias}.reads2ref" -t $task.cpus -m
"""
}
process splitRegions {
// split the bam reference sequences into overlapping sub-regions
label "medaka"
cpus 1
input:
tuple val(meta), path("align.bam"), path("align.bam.bai")
output:
stdout
"""
#!/usr/bin/env python
import itertools
import medaka.common
regions = itertools.chain.from_iterable(
x.split(${params.chunk_size}, overlap=1000, fixed_size=False)
for x in medaka.common.get_bam_regions("align.bam"))
region_list = []
for reg in regions:
# don't ask...just grep &split!
print("${meta.alias}" + '&split!' + str(reg))
"""
}
// TODO: in a single GPU environment it would be better just
// to use a single process for the whole bam file. Need
// to read up on conditional channels
process medakaNetwork {
// run medaka consensus for each region
label "medaka"
cpus 2
input:
tuple val(meta), path("align.bam"), path("align.bam.bai"), val(reg), val(medaka_model)
output:
tuple val(meta), path("*consensus_probs.hdf")
script:
def model = medaka_model
"""
medaka --version
echo ${model}
echo ${medaka_model}
medaka consensus align.bam "${meta.alias}.consensus_probs.hdf" \
--threads 2 --regions "${reg}" --model ${model}
"""
}
process medakaVariantConsensus {
// run medaka consensus for each region
label "medaka"
cpus 2
input:
tuple val(meta), path("align.bam"), path("align.bam.bai"), val(reg), val(medaka_model)
output:
tuple val(meta), path("*consensus_probs.hdf")
script:
def model = medaka_model
"""
medaka --version
echo ${model}
echo ${medaka_model}
medaka consensus align.bam "${meta.alias}.consensus_probs.hdf" \
--threads 2 --regions "${reg}" --model ${model}
"""
}
process medakaVariant {
label "medaka"
cpus 1
input:
tuple val(meta), path("consensus_probs*.hdf"), path("align.bam"), path("align.bam.bai"), path("ref.fasta.gz")
output:
path "${meta.alias}.medaka.vcf.gz", emit: variants
path "${meta.alias}.variants.stats", emit: variant_stats
// note: extension on ref.fasta.gz might not be accurate but shouldn't (?) cause issues.
// Also the first step may create an index if not already existing so the alternative
// reference.* will break
"""
medaka variant ref.fasta.gz consensus_probs*.hdf vanilla.vcf
medaka tools annotate vanilla.vcf ref.fasta.gz align.bam "${meta.alias}.medaka.vcf"
bgzip -i "${meta.alias}.medaka.vcf"
bcftools stats "${meta.alias}.medaka.vcf.gz" > "${meta.alias}.variants.stats"
"""
}
process medakaConsensus {
label "medaka"
cpus 1
input:
tuple val(meta), path("align.bam"), path("align.bam.bai"), path("consensus_probs*.hdf"), path("reference*")
output:
tuple val(meta), path("${meta.alias}.medaka.fasta.gz")
"""
medaka stitch --threads $task.cpus consensus_probs*.hdf reference* "${meta.alias}.medaka.fasta"
bgzip "${meta.alias}.medaka.fasta"
"""
}
process runProkka {
// run prokka in a basic way on the consensus sequence
label "prokka"
cpus params.threads
input:
tuple val(meta), path("consensus.fasta.gz")
output:
path "*prokka_results/*prokka.gff"
script:
def prokka_opts = params.prokka_opts ?: ""
"""
gunzip -rf consensus.fasta.gz
prokka $prokka_opts --outdir "${meta.alias}.prokka_results" \
--cpus $task.cpus --prefix "${meta.alias}.prokka" *consensus.fasta
"""
}
process prokkaVersion {
label "prokka"
output:
path "prokka_version.txt"
"""
prokka --version | sed 's/ /,/' >> "prokka_version.txt"
"""
}
process medakaVersion {
label "medaka"
input:
path "input_versions.txt"
output:
path "medaka_version.txt"
"""
cat "input_versions.txt" >> "medaka_version.txt"
medaka --version | sed 's/ /,/' >> "medaka_version.txt"
"""
}
process getVersions {
label params.process_label
cpus 1
input:
path "input_versions.txt"
output:
path "versions.txt"
"""
cat "input_versions.txt" >> versions.txt
python -c "import pysam; print(f'pysam,{pysam.__version__}')" >> versions.txt
fastcat --version | sed 's/^/fastcat,/' >> versions.txt
mosdepth --version | sed 's/ /,/' >> versions.txt
flye --version | sed 's/^/flye,/' >> versions.txt
python -c "import pomoxis; print(f'pomoxis,{pomoxis.__version__}')" >> versions.txt
python -c "import dna_features_viewer; print(f'dna_features_viewer,{dna_features_viewer.__version__}')" >> versions.txt
"""
}
process getParams {
label params.process_label
cpus 1
output:
path "params.json"
script:
def paramsJSON = new JsonBuilder(params).toPrettyString()
"""
# Output nextflow params object to JSON
echo '$paramsJSON' > params.json
"""
}
process makeReport {
label params.process_label
cpus 1
input:
path "versions/*"
path "params.json"
path "variants/*"
val sample_ids
path "prokka/*"
path per_read_stats
path "fwd/*"
path "rev/*"
path "total_depth/*"
path "flye_stats/*"
path "resfinder/*"
output:
path "wf-bacterial-genomes-*.html"
script:
report_name = "wf-bacterial-genomes-report.html"
denovo = params.reference_based_assembly as Boolean ? "" : "--denovo"
prokka = params.run_prokka as Boolean ? "--prokka" : ""
resfinder = params.isolates as Boolean ? "--resfinder" : ""
samples = sample_ids.join(" ")
String stats_args = \
(per_read_stats.name == OPTIONAL_FILE.name) ? "" : "--stats $per_read_stats"
// NOTE: the script assumes the various subdirectories
"""
workflow-glue report \
$stats_args \
$prokka $denovo \
$resfinder \
--versions versions \
--params params.json \
--output $report_name \
--sample_ids $samples
"""
}
// See https://github.com/nextflow-io/nextflow/issues/1636
// This is the only way to publish files from a workflow whilst
// decoupling the publish from the process steps.
process output {
// publish inputs to output directory
label params.process_label
publishDir "${params.out_dir}", mode: 'copy', pattern: "*"
input:
path fname
output:
path fname
"""
echo "Writing output files"
"""
}
process lookup_medaka_consensus_model {
label params.process_label
input:
path("lookup_table")
val basecall_model
output:
stdout
shell:
'''
medaka_model=$(workflow-glue resolve_medaka_model lookup_table '!{basecall_model}' "medaka_consensus")
echo $medaka_model
'''
}
process lookup_medaka_variant_model {
label params.process_label
input:
path("lookup_table")
val basecall_model
output:
stdout
shell:
'''
medaka_model=$(workflow-glue resolve_medaka_model lookup_table '!{basecall_model}' "medaka_variant")
echo $medaka_model
'''
}
// Creates a new directory named after the sample alias and moves the fastcat results
// into it.
process collectFastqIngressResultsInDir {
label params.process_label
input:
// both the fastcat seqs as well as stats might be `OPTIONAL_FILE` --> stage in
// different sub-directories to avoid name collisions
tuple val(meta), path(concat_seqs, stageAs: "seqs/*"), path(fastcat_stats,
stageAs: "stats/*")
output:
// use sub-dir to avoid name clashes (in the unlikely event of a sample alias
// being `seq` or `stats`)
path "out/*"
script:
String outdir = "out/${meta["alias"]}"
String metaJson = new JsonBuilder(meta).toPrettyString()
String concat_seqs = \
(concat_seqs.fileName.name == OPTIONAL_FILE.name) ? "" : concat_seqs
String fastcat_stats = \
(fastcat_stats.fileName.name == OPTIONAL_FILE.name) ? "" : fastcat_stats
"""
mkdir -p $outdir
echo '$metaJson' > metamap.json
mv metamap.json $concat_seqs $fastcat_stats $outdir
"""
}
// modular workflow
workflow calling_pipeline {
take:
reads
reference
main:
per_read_stats = reads.map {
it[2] ? it[2].resolve('per-read-stats.tsv') : null
}
| collectFile ( keepHeader: true )
| ifEmpty ( OPTIONAL_FILE )
input_reads = reads.map { meta, reads, stats -> [meta, reads] }
sample_ids = reads.map { meta, reads, stats -> meta.alias }
if (params.reference_based_assembly && !params.reference){
throw new Exception("Reference based assembly selected, a reference sequence must be provided through the --reference parameter.")
}
if (!params.reference_based_assembly){
log.info("Running Denovo assembly.")
denovo_assem = deNovo(input_reads)
named_refs = denovo_assem.map { it -> [it[0], it[1]] }
read_ref_groups = input_reads.join(named_refs)
} else {
log.info("Reference based assembly selected.")
references = channel.fromPath(params.reference)
read_ref_groups = input_reads.combine(references)
named_refs = read_ref_groups.map { it -> [it[0], it[2]] }
}
alignments = alignReads(read_ref_groups)
read_stats = readStats(alignments)
depth_stats = coverStats(alignments)
regions = splitRegions(alignments).splitText()
named_regions = regions.map {
it -> return tuple(it.split(/&split!/)[0], it.split(/&split!/)[1])
}
if(params.medaka_consensus_model) {
log.warn "Overriding Medaka Consensus model with ${params.medaka_consensus_model}."
medaka_consensus_model = Channel.fromList([params.medaka_consensus_model])
}
else {
lookup_table = Channel.fromPath("${projectDir}/data/medaka_models.tsv", checkIfExists: true)
medaka_consensus_model = lookup_medaka_consensus_model(lookup_table, params.basecaller_cfg)
}
if(params.medaka_variant_model) {
log.warn "Overriding Medaka Variant model with ${params.medaka_variant_model}."
medaka_variant_model = Channel.fromList([params.medaka_variant_model])
}
else {
lookup_table = Channel.fromPath("${projectDir}/data/medaka_models.tsv", checkIfExists: true)
medaka_variant_model = lookup_medaka_variant_model(lookup_table, params.basecaller_cfg)
}
// medaka consensus
named_alignments = alignments.map{ meta, bam, bai -> [meta.alias, meta, bam, bai] }
regions_bams = named_alignments.combine(named_regions, by: 0).map{it[1..-1]}
regions_model = regions_bams.combine(medaka_consensus_model)
hdfs = medakaNetwork(regions_model)
hdfs_grouped = alignments.combine(hdfs.groupTuple(), by: 0).join(named_refs)
consensus = medakaConsensus(hdfs_grouped)
if (!params.reference_based_assembly){
flye_info = denovo_assem.map { it -> it[2] }
}else{
flye_info = Channel.empty()
}
// medaka variants
if (params.reference_based_assembly){
bam_model = regions_bams.combine(medaka_variant_model)
hdfs_variant = medakaVariantConsensus(bam_model)
hdfs_grouped = hdfs_variant.groupTuple().combine(alignments, by: [0]).join(named_refs)
variant = medakaVariant(hdfs_grouped)
variants = variant.variant_stats
vcf_variant = variant.variants
} else {
variants = Channel.empty()
vcf_variant = Channel.empty()
}
if (params.run_prokka) {
prokka = runProkka(consensus)
} else {
prokka = Channel.empty()
}
// amr calling
if (params.isolates) {
run_amr = run_amr(
consensus,
params.species,
"${params.resfinder_threshold}",
"${params.resfinder_coverage}")
amr = run_amr.amr
amr_results = run_amr.report_table
} else {
amr = Channel.empty()
amr_results = Channel.empty()
}
prokka_version = prokkaVersion()
medaka_version = medakaVersion(prokka_version)
software_versions = getVersions(medaka_version)
workflow_params = getParams()
report = makeReport(
software_versions.collect(),
workflow_params,
variants.collect().ifEmpty(file("${projectDir}/data/OPTIONAL_FILE")),
sample_ids.collect(),
prokka.collect().ifEmpty(file("${projectDir}/data/OPTIONAL_FILE")),
per_read_stats,
depth_stats.fwd.collect(),
depth_stats.rev.collect(),
depth_stats.all.collect(),
flye_info.collect().ifEmpty(file("${projectDir}/data/OPTIONAL_FILE")),
amr_results.collect().ifEmpty(file("${projectDir}/data/OPTIONAL_FILE")))
fastq_stats = reads
// replace `null` with path to optional file
| map { [ it[0], it[1] ?: OPTIONAL_FILE, it[2] ?: OPTIONAL_FILE ] }
| collectFastqIngressResultsInDir
all_out = variants.concat(
vcf_variant,
consensus.map {meta, assembly -> assembly},
report,
prokka,
fastq_stats,
amr.map {meta, resfinder -> resfinder},
workflow_params
)
emit:
all_out
}
// entrypoint workflow
WorkflowMain.initialise(workflow, params, log)
workflow {
if (params.disable_ping == false) {
Pinguscript.ping_post(workflow, "start", "none", params.out_dir, params)
}
samples = fastq_ingress([
"input":params.fastq,
"sample":params.sample,
"sample_sheet":params.sample_sheet,
"analyse_unclassified":params.analyse_unclassified,
"fastcat_stats": params.wf.fastcat_stats,
"fastcat_extra_args": ""])
reference = params.reference
results = calling_pipeline(samples, reference)
output(results.all_out)
}
if (params.disable_ping == false) {
workflow.onComplete {
Pinguscript.ping_post(workflow, "end", "none", params.out_dir, params)
}
workflow.onError {
Pinguscript.ping_post(workflow, "error", "$workflow.errorMessage", params.out_dir, params)
}
}