Skip to main content

Tools to make pipelines easier to run and distribute for large biological datasets

Project description

ModuleUltra
===========

.. image:: https://img.shields.io/circleci/project/github/dcdanko/ModuleUltra/master.svg
:alt: CircleCI master

.. image:: https://img.shields.io/pypi/v/ModuleUltra.svg
:target: https://pypi.python.org/pypi/ModuleUltra
:alt: Latest PyPI version

.. image:: https://www.codefactor.io/repository/github/dcdanko/ModuleUltra/badge
:target: https://www.codefactor.io/repository/github/dcdanko/ModuleUltra
:alt: CodeFactor

.. image:: https://img.shields.io/pypi/pyversions/ModuleUltra.svg
:alt: PyPI - Python version

.. image:: https://img.shields.io/pypi/dm/ModuleUltra.svg
:alt: PyPI - Downloads

.. image:: https://img.shields.io/github/license/dcdanko/ModuleUltra.svg
:alt: Github license

Easy to use pipelines for large biological datasets.

Goals
-----

Bioinformatics pipelines often involve a large number of files with complex organization and metadata, complex paths, and lots of dependencies. ModuleUltra is intended to make it easier run and distribute complex pipelines. It is built on top of DataSuper and SnakeMake. ModuleUltra defines both an API and CLI.

ModuleUltra is probably overkill for small projects, it has been designed in particular for the MetaSUB project which has thousands of samples and complex analysis pipelines. ModuleUltra makes it easier to do consistent analysis on thousands of samples across many sites.

MetaSUB is also developing a program called DataSuper which tracks complex data and metadata.

In summary:
- ModuleUltra makes it easy to install complex pipelines
- ModuleUltra makes it easy to run pipelines only on slected subsets of the data
- ModuleUltra makes it easy to run parts of large complex pipelines
- ModuleUltra automatically tracks output of pipelines in DataSuper
- ModuleUltra allows you to write most of your pipelines logic in SnakeMake, a popular pipeline system
- ModuleUltra reduces the amount of boilerplate code necessary to make a pipeline

ModuleUltra is intended to improve reproducibility, features are being added to improve file provenance.

Installation
------------

Be aware that ModuleUltra is still an Alpha. There are still bugs and some unimplemented features.

ModuleUltra is currently being used on Ubuntu and RHEL systems. It should work on any *nix system.

To install:


.. code-block:: bash

git clone <url>

python setup.py develop


Licence
-------
MIT License

Authors
-------

`ModuleUltra` was written by `David C. Danko <dcdanko@gmail.com>`_.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

ModuleUltra-0.1.8-py3-none-any.whl (24.4 kB view details)

Uploaded Python 3

File details

Details for the file ModuleUltra-0.1.8-py3-none-any.whl.

File metadata

File hashes

Hashes for ModuleUltra-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 15a1a196082d68bc50d89eb978dae900f550b856cb520419aeabfc950e51ac34
MD5 1f7f8bd564e5137f845b702487a12616
BLAKE2b-256 6d55bd793ffa08aa70b9a319ea75bf703115f30bb32d0ffee5a5f7d86048fcc5

See more details on using hashes here.

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