| abstract |
Disclosed herein are systems and methods for quantification and analysis of alternative splicing events, and prediction of biological relevance of alternative splicing events comprising a software module: quantifying alternative splicing events using biological data related to a genome, a transcriptome, or both provided by a user; processing the quantified alternative splicing events with information stored in a database; identifying statistically significant alternative splicing events, predicting functional impact of alternative splicing events on protein structures, protein functions, RNA stability, RNA integrity, or biological pathways,predicting druggability and reversibility of aberrant splicing events as well as controllability of splicing in general using statistical modeling and machine learning algorithms |