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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
- Host: GitHub
- URL: https://github.com/ratschlab/RiboDiff
- Owner: ratschlab
- License: gpl-3.0
- Created: 2015-03-10T14:55:02.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2016-10-03T18:29:11.000Z (about 8 years ago)
- Last Synced: 2024-08-05T15:04:03.781Z (5 months ago)
- Language: Python
- Size: 2.9 MB
- Stars: 21
- Watchers: 9
- Forks: 16
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: COPYING
Awesome Lists containing this project
- awesome-riboseq - Code
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 >= 0.5.0These 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.