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docker/Dockerfile

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@@ -4,6 +4,6 @@ RUN apt-get update && apt-get install -y procps
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RUN conda create -n env -c conda-forge python=3.7 numpy>=1.16.2 jinja2>=2.10.1
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RUN echo "source activate env" > ~/.bashrc
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ENV PATH /opt/conda/envs/env/bin:$PATH
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RUN /opt/conda/envs/env/bin/pip install --no-cache-dir covviz==1.3.2
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RUN /opt/conda/envs/env/bin/pip install --no-cache-dir covviz==1.3.3
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RUN wget -qO /usr/bin/goleft https://github.com/brentp/goleft/releases/download/v0.2.3/goleft_linux64
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RUN chmod +x /usr/bin/goleft

main.nf

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@@ -150,9 +150,10 @@ process build_report {
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script:
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gff_opt = params.gff ? "--gff ${gff}" : ""
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gff_attr = params.gffattr ? "--gff-attr ${gffattr}" : ""
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"""
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covviz --min-samples ${params.minsamples} --sex-chroms ${params.sexchroms} --exclude '${params.exclude}' \
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--z-threshold ${params.zthreshold} --distance-threshold ${params.distancethreshold} \
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--slop ${params.slop} --ped ${ped} ${gff_opt} --skip-norm ${bed}
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--slop ${params.slop} --ped ${ped} ${gff_opt} ${gff_attr} --skip-norm ${bed}
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"""
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}

nextflow.config

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@@ -19,13 +19,14 @@ params {
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ped = false
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// column of sample IDs in your custom ped file
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samplecol = 'sample_id'
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gffattr = false
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}
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process {
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errorStrategy = { task.exitStatus in [1,143,137,104,134,139] ? 'retry' : 'terminate' }
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maxRetries = 3
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maxErrors = '-1'
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container = 'brwnj/covviz:v1.3.2'
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container = 'brwnj/covviz:v1.3.3'
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withLabel: 'indexcov' {
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memory = { 8.GB * task.attempt }
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cache = 'deep'
@@ -62,7 +63,7 @@ manifest {
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name = 'brwnj/covviz'
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author = 'Joe Brown'
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description = "find large, coverage-based variations on chromosomes"
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version = '1.3.2'
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version = '1.3.3'
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nextflowVersion = '>=0.32.0'
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homePage = 'https://github.com/brwnj/covviz'
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mainScript = 'main.nf'

setup.py

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@@ -18,7 +18,7 @@
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EMAIL = "brwnjm@gmail.com"
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AUTHOR = "Joe Brown"
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REQUIRES_PYTHON = ">=3.6.0"
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VERSION = "1.3.2"
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VERSION = "1.3.3"
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# What packages are required for this module to be executed?
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REQUIRED = ["Jinja2", "numpy", "pandas"]

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