Skip to main content

Do you need to run tools on FASTA files with gnu parallel, and then parse the results? You need prescription strength Fuckitall!

Project description

ope

https://img.shields.io/pypi/v/ope.svg https://img.shields.io/travis/camillescott/ope.svg Documentation Status

Abstracts away running gnu-parallel on tools with FASTA input and provides parsers for some common formats produced by said tools.

Example usage:

ope parallel -j 4 [query.pep.fa] hmmscan --domtblout [results.tbl] -E 1e-05 -o /dev/null /store/biodb/Pfam-A.hmm /dev/stdin

Hence, the only gnu-parallel flag one needs to worry about is -j for the number of cores to use. Note that you also need to set the input in the actual tool invocation as /dev/stdin.

Features

  • TODO

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2019-12-11)

  • First release on PyPI.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ope-0.5.tar.gz (29.4 kB view hashes)

Uploaded Source

Built Distribution

ope-0.5-py2.py3-none-any.whl (15.5 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page