Analyse genes against peak data, and vice versa
Project description
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.
Quick Start
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
where GENES and 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:
Licensing
This software is licensed under the Artistic License 2.0.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for RnaChipIntegrator-3.0.0-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 65f0b0388d62cb613005e35ec8089a67ac4af0f39748465809b9abe38a1559ab |
|
| MD5 | 23c2340c2a3b3c94f72b21840c8f7394 |
|
| BLAKE2b-256 | e9d3d49d00edc2ff633ee1d6dde05e84c1772e202dfc920b4d44db2af04cbb1c |
