This README describes the software SplAdder, short for Splicing Adder, a toolbox for alternative splicing analysis based on RNA-Seq alignment data. Briefly, the software takes a given annotation and RNA-Seq read alignments in standardized formats, transforms the annotation into a splicing graph representation, augments the splicing graph with additional information extracted from the read data, extracts alternative splicing events from the graph and quantifies the events based on the alignment data. The quantified events can then be used for differential analysis.
SplAdder relies on Python3 and requires only few standard packages. A complete list of dependencies can be found in requirements.txt
We recommend using a python package manager such as anaconda to organize dependencies.
- Installation via
pip:pip install spladder - Installation from source:
- clone this repository
- Within the SplAdder root directory, run
make install
This README provides only a high-level overview of a basic SplAdder run. For further reading, please consider the online Documentation.
After installation, the command spladder becomes available in your path.
Invoking SplAdder without any parameters will print a description of the
command line interface to the screen.
If you installed SplAdder from source, you can test the installation by invoking make test in the SplAdder root directory.
Previous versions of SplAdder were provided for both Matlab and Python. Since 2019, the Matlab code is no longer provided as part of the SplAdder package. If you are interested in the Matlab code, please download the initial release.
If you are interested in previous versions of SplAdder capable of running under Python 2.7, please use release 1.2.1. Please note, that the Python 2.7 code will be no longer maintained.
Information on how to contact the authors can be found in the AUTHORS file.
All licensing information can be found in the COPYRIGHT file.
