Modeling and Predicting Differential Alternative Splicing Events and Applications Thereof

摘要

The present disclosure includes a method for predicting differential alternative splicing events from ribonucleic acid (RNA) sequencing data that includes receiving RNA sequence reads for two or more samples; generating directed acyclic graphs from the RNA sequence reads, wherein each directed acyclic graph represents at least a portion of a gene model; extracting count data from the directed acyclic graphs; and generating differential alternative splicing event information from the count data using a Dirichlet multinomial (DMN) regression.

主权项

1. A method for predicting differential alternative splicing events from RNA comprising:
a) sequencing at least one said RNA sample to produce RNA sequence data reads per sample; b) generating one or more directed acyclic graphs from the RNA sequence reads, wherein each directed acyclic graph represents at least a portion of a gene model; c) extracting count data from the directed acyclic graphs; and d) generating differential alternative splicing information from the count data using a Dirichlet multinomial (DMN) regression.