RnaChipIntegrator: analysis of genes with peak data
RnaChipIntegrator is a utility that performs integrated analyses
of 'gene' data (a set of genes or other genomic features) with 'peak'
data (a set of regions, for example ChIP peaks) to identify the genes
nearest to each peak, and vice versa.
The program was originally written specifically for ChIP-Seq and RNA-Seq data but works equally well for ChIP-chip and microarray expression data, and can also be used to integrate any set of genomic features (e.g. canonical genes, CpG islands) with peak data.
Install the latest version of the program from the Python Package Index (PyPI):
pip install RnaChipIntegrator
The simplest use of the program is:
RnaChipIntegrator GENES PEAKS
PEAKS are tab-delimited files containing the
'gene' and 'peak' data respectively.
This will output two files with the nearest genes for each peak ("peak-centric" analysis), and the nearest peaks for each gene ("gene-centric" analysis).
Full documentation can be found at ReadTheDocs:
INSTALL file for complete installation instructions.
The source code for the development version of the program is hosted
on GitHub in the
and can be installed directly from GitHub using
pip install git+https://github.com/fls-bioinformatics-core/RnaChipIntegrator.git@devel
The program depends on the Python
libraries, which should be installed automatically if using
Documentation based on
sphinx is available under the
To build do either:
python setup.py sphinx_build
cd docs make html
both of which create the documentation in the
The Python unit tests can be run using:
python setup.py test
Note that this requires the
Example data files can be found in the
examples subdirectory, which
can be used as input to the program for test or demonstration purposes; see
README file in the same directory for more information.
This software is licensed under the Artistic License 2.0; see the