SPLOOCE: A new portal for the analysis of human splicing variants

• Autor(a) principal: Kroll, José Eduardo
• Data de Publicação: 2012
• Outros Autores: Galante, Pedro A. F., Ohara, Daniel T., Navarro, Fábio C. P., Ohno-Machado, Lucila, Souza, Sandro José de
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFRN
• Texto Completo: https://repositorio.ufrn.br/jspui/handle/123456789/23275
• topic: bioinformatics; alternative splicing; combined alternative splicing events; database; method of analysis; regular expressions; next-generation sequencing

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.