OutSplice: A Novel Tool for the Identification of Tumor-Specific Alternative Splicing Events.

ABSTRACT: Protein variation that occurs during alternative splicing has been shown to play a major role in disease onset and oncogenesis. Due to this, we have developed OutSplice, a user-friendly algorithm to classify splicing outliers in tumor samples compared to a distribution of normal samples. Several tools have previously been developed to help uncover splicing events, each coming with varying methodologies, complexities, and features that can make it difficult for a new researcher to use or to determine which tool they should be using. Therefore, we benchmarked several algorithms to determine which may be best for a particular user's needs and demonstrate how OutSplice differs from these methodologies. We find that despite detecting a lower number of genes with significant aberrant events, Out

SUBMITTER: Bendik J 

PROVIDER: S-EPMC11997874 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature