# Genome Genie
Just dump your fastq files into the "fastq_files" folder and run!
Will require download of a google drive or dropbox resource folder (work in progress)
(Pipeline is still being built out)
Currently produces:
- VCF files
- RNAseq count tables and differential expression analysis
Build docker image
docker build -t bio-pipeline . Run (for docker windows)
docker run -it -d `
--mount type=bind,source="$(pwd)/fastq_files",target=/BIP/fastq_files `
--mount type=bind,source="$(pwd)/outputs",target=/BIP/outputs `
--mount type=bind,source="$(pwd)/resources",target=/BIP/resources `
--mount type=bind,source="$(pwd)/scripts",target=/BIP/scripts `
--mount type=bind,source="$(pwd)/subworkflow",target=/BIP/subworkflow `
bio-pipeline bashUse snakemake config arguments
For variant calling pipeline:
snakemake --config run_variant_calling=True -j {cores}
For RNAseq count matrix:
snakemake --config run_gene_quantification=True -j {cores}
For differential expression:
Will require samplesheet grouping (work in progress)