Resolwe SDK for Python
Project description
Resolwe is a dataflow package for the Django framework. Resolwe Bioinformatics is an extension of Resolwe that provides bioinformatics pipelines. Resolwe SDK for Python supports writing dataflow pipelines for Resolwe and Resolwe Bioinformatics.
Docs & Help
Read the detailed description in documentation.
Install
Install from PyPI:
pip install resdk
To install for development, fork on Github and run:
git clone https://github.com/<GITHUB_USER>/resolwe-bio-py.git cd resolwe-bio-py pip install -e .[docs,package,test]
Quick Start
Connect to a Resolwe server:
from resdk import Resolwe
re = Resolwe('admin', 'admin', 'https://torta.bcm.genialis.com')Get sample by ID and download the aligned reads (BAM file):
sample = re.sample.get(1)
sample.download(type='bam')Find human samples and download all aligned reads (BAM files):
samples = re.sample.filter(descriptor__organism="Homo sapiens")
for sample in samples:
sample.download(type='bam')Primary analysis (e.g., filtering, alignment, expression estimation) starts automatically when samples are annotated. A step in primary analysis is represented as Data object, attached to the sample. A Sample object includes sample annotation. A Data object includes input parameters, results and analysis annotation. Print the steps in primary analysis pipeline:
for data_id in sample.data:
data = re.data.get(data_id)
print data.process_nameFind ROSE2 analysis results and display a ??? plot of the first result:
rose2 = re.data.filter(type='data:chipseq:rose2:')
# TODO: Plot resultsRun Bowtie2 mapping on the reads Data object of the above sample:
genome = re.data.filter(type='data:genome:fasta:')[0]
reads = sample.data[0]
aligned = re.run('alignment-bowtie-2-2-3_trim', input={
genome: genome.id,
reads: reads.id,
reporting: {rep_mode: 'k', k_reports: 1}
})
aligned.status()Continue in the Getting Started section of Documentation, where we explain how to upload files, create samples and provide details about the Resolwe backend. Bioinformaticians can learn how to develop pipelines in Writing Pipelines.
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