RDATkit is a set of tools for parsing, analyzing, and publishing data of RNA chemical footprinting assays. It allows researchers to share their data using community standard formats, and helps them publish their results on indexable and shareable databases.

RDATKit is a package provides a set of Python and MATLAB scripts that facilitate saving and loading data to and from files with RDAT format. It also supports the ISATAB file format.

• Download the zip or tar file of the repository and unpack; or

git clone https://github.com/ribokit/RDATKit.git

• In MATLAB, go to "Set Path". Then "Add with Subfolders" of the target path/to/RDATKit/MATLAB/.

To install RDATKit, simply:

• Copy path.py.example into rdatkit/path.py. Edit rdatkit/path.py following the instructions in the file to point to local installations of RNAstructure, ViennaRNA, and VARNA.

• Run:

cd path/to/RDATKit/
python setup.py install

For system-wide installation, you must have permissions and use with sudo.

RDATKit requires the following Python packages as dependencies, all of which can be installed through pip.

numpy >= 1.8.0
scipy >= 0.13.0
xlrd >= 0.9.2
xlwt >= 1.0.0

Documentation is available at https://ribokit.github.io/RDATKit/.

Copyright © of RDATKit Source Code is described in LICENSE.md.

Developed by Das lab, Leland Stanford Junior University.

README by t47, March 2016.