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https://github.com/ratschlab/RiboDiff

RiboDiff: Tool to detect changes in translational efficiency based on ribosome footprinting data
https://github.com/ratschlab/RiboDiff

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RiboDiff: Tool to detect changes in translational efficiency based on ribosome footprinting data

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README

        

SOFTWARE: RiboDiff
----------

###VERSION

0.2.1

###Authors

Yi Zhong, Theofanis Karaletsos, Philipp Drewe, Vipin Sreedharan, David Kuo and Gunnar Raetsch.

###DESCRIPTION

RiboDiff is a statistical tool to detect the protein translation
efficiency change from ribosome footprint profiling data and RNA-Seq
data under two different experimental conditions.

###URL

http://bioweb.me/ribodiff

###REQUIREMENTS
* Python2 >= 2.6.6 (Python3 is not supported yet.)
* Numpy >= 1.8.0
* Scipy >= 0.13.3
* Matplotlib >= 1.3.0
* Statsmodels >= 0.5.0

These requirements can either be installed individually or as a Python distribution
that includes all the required packages. Please find more details at
http://www.scipy.org/install.html

###INSTALLATION

To install RiboDiff, please refer to INSTALL file in this directory.

###CONTENTS

All relevant scripts for RiboDiff are located in the subdirectory src.

* src - main codebase for RiboDiff;
* tests - dataset and script for functional test;
* test-data - test dataset for Galaxy system;
(move to your galaxy_root_folder/test-data/)
You may need to move the test files into your test-data directory so galaxy can find them.
If you want to run the functional tests example as:

sh run_functional_tests.sh -id ribodiff

* tools - util functions for simulating negative binomial count data.
* scripts - TE.py - the main script to start RiboDiff.

###GALAXY

https://galaxy.cbio.mskcc.org/tool_runner?tool_id=ribodiff

###DOCUMENTATION

To use RiboDiff, please refer to the instructions in MANUAL in this directory.

###LICENSE

RiboDiff is licensed under the GPL version 3 or any later version
(cf. LICENSE).

###CITE US

If you use RiboDiff in your research you are kindly asked to cite the
following publication:

Zhong Y, Karaletsos T, Drewe P, et al. RiboDiff: Detecting Changes of Translation
Efficiency from Ribosome Footprints. bioRxiv. doi: 10.1101/017111.