https://github.com/cokelaer/gdsctools
Tools related to the Genomics of Drug Sensitivity in Cancer (GDSC) projects (http://www.cancerrxgene.org/ )
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Tools related to the Genomics of Drug Sensitivity in Cancer (GDSC) projects (http://www.cancerrxgene.org/ )
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README.rst
GDSCTools
============
.. image:: https://badge.fury.io/py/gdsctools.svg
:target: https://pypi.python.org/pypi/gdsctools
.. image:: https://secure.travis-ci.org/CancerRxGene/gdsctools.png
:target: http://travis-ci.org/CancerRxGene/gdsctools
.. image:: https://coveralls.io/repos/CancerRxGene/gdsctools/badge.svg?branch=master&service=github
:target: https://coveralls.io/github/CancerRxGene/gdsctools?branch=master
.. image:: https://readthedocs.org/projects/gdsctools/badge/?version=master
:target: http://gdsctools.readthedocs.io/en/master/?badge=master
:alt: Documentation Status
|License|
:Citation: Cokelaer et al. GDSCTools for mining pharmacogenomic interactions in
cancer. Bioinformatics, 2017, https://doi.org/10.1093/bioinformatics/btx744
:Note: Developed and tested for Python 3.7, 3.8, 3.9
:Contributions: Please join https://github.com/CancerRxGene/gdsctools project
:Documentation: `On ReadTheDocs `_
:GitHub: `On github `_
Overview
-----------
Genomics of Drug Sensitivity in Cancer (GDSC) tools including pipelines related to http://www.cancerrxgene.org/
Installation
---------------
::
pip install gdsctools
For beginners, please visit the main documentation `Installation
`_ section.
QuickStart
-------------
You will need 2 input matrices:
#. an IC50 matrix with COSMIC identifiers as rows and drugs as columns,
#. a genomic feature matrix with COSMIC identifiers as rows and features as columns.
Then, you can analyse the data with the standalone application::
gdsctools_anova --input-ic50 ic50.txt --input-features features.txt
or as a script::
from gdsctools import anova, ic50_test
an = ANOVA(ic50_test, features_filename) # second arg is optional
an.anova_all()
More examples are provided in the `documentation on ReadThedoc `_.
Note that first versions (ANOVA analysis) were based on https://github.com/francescojm/FI.GDSC.ANOVA repository. New tools have been added (regression based on Ridge, Lasso, OmniBEM tool, ...).
.. |License| image:: https://img.shields.io/badge/license-BSD-blue.svg
:alt: BSD License
:target: https://github.com/CancerRxGene/gdsctools/blob/master/LICENSE
Changelog
~~~~~~~~~
Prior to v0.20, please see the online documentation (link above)
========= ====================================================================
Version Description
========= ====================================================================
1.1.0 * fix regression bug introduced in snakemake 6.9.0
1.0.1 * fix the MANIFEST to include requirements.txt
1.0.0 * First release of GDSCTools with test coverage, singularity, CI
0.20.0 * Fixing dependencies. added Snakemake example
========= ====================================================================
Owner
- Name: Thomas Cokelaer
- Login: cokelaer
- Kind: user
- Location: Paris, France
- Company: Institut Pasteur
- Website: http://thomas-cokelaer.info/
- Twitter: ThomasCokelaer
- Repositories: 62
- Profile: https://github.com/cokelaer
Bioinformatician, Scientific Software Developer, Python developer