| Literature DB >> 23064119 |
José Eduardo Kroll1, Pedro A F Galante, Daniel T Ohara, Fábio C P Navarro, Lucila Ohno-Machado, Sandro J de Souza.
Abstract
Understanding alternative splicing is crucial to elucidate the mechanisms behind several biological phenomena, including diseases. The huge amount of expressed sequences available nowadays represents an opportunity and a challenge to catalog and display alternative splicing events (ASEs). Although several groups have faced this challenge with relative success, we still lack a computational tool that uses a simple and straightforward method to retrieve, name and present ASEs. Here we present SPLOOCE, a portal for the analysis of human splicing variants. SPLOOCE uses a method based on regular expressions for retrieval of ASEs. We propose a simple syntax that is able to capture the complexity of ASEs.Entities:
Keywords: alternative splicing; bioinformatics; combined alternative splicing events; database; method of analysis; next-generation sequencing; regular expressions
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Year: 2012 PMID: 23064119 PMCID: PMC3597574 DOI: 10.4161/rna.22182
Source DB: PubMed Journal: RNA Biol ISSN: 1547-6286 Impact factor: 4.652