Identification of protein features encoded by alternative exons using Exon Ontology.

ABSTRACT: Transcriptomic genome-wide analyses demonstrate massive variation of alternative splicing in many physiological and pathological situations. One major challenge is now to establish the biological contribution of alternative splicing variation in physiological- or pathological-associated cellular phenotypes. Toward this end, we developed a computational approach, named "Exon Ontology," based on terms corresponding to well-characterized protein features organized in an ontology tree. Exon Ontology is conceptually similar to Gene Ontology-based approaches but focuses on exon-encoded protein features instead of gene level functional annotations. Exon Ontology describes the protein features encoded by a selected list of exons and looks for potential Exon Ontology term enrichment. By applying th

SUBMITTER: Tranchevent LC 

PROVIDER: S-EPMC5453322 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature