SPLOOCE: A new portal for the analysis of human splicing variants
dc.contributor.author | Kroll, José Eduardo | |
dc.contributor.author | Galante, Pedro A. F. | |
dc.contributor.author | Ohara, Daniel T. | |
dc.contributor.author | Navarro, Fábio C. P. | |
dc.contributor.author | Ohno-Machado, Lucila | |
dc.contributor.author | Souza, Sandro José de | |
dc.date.accessioned | 2017-05-31T13:34:01Z | |
dc.date.available | 2017-05-31T13:34:01Z | |
dc.date.issued | 2012-11 | |
dc.description.resumo | 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. | pt_BR |
dc.identifier.issn | 1547-6286 | |
dc.identifier.uri | https://repositorio.ufrn.br/jspui/handle/123456789/23275 | |
dc.language | eng | pt_BR |
dc.rights | Acesso Aberto | pt_BR |
dc.subject | bioinformatics | pt_BR |
dc.subject | alternative splicing | pt_BR |
dc.subject | combined alternative splicing events | pt_BR |
dc.subject | database | pt_BR |
dc.subject | method of analysis | pt_BR |
dc.subject | regular expressions | pt_BR |
dc.subject | next-generation sequencing | pt_BR |
dc.title | SPLOOCE: A new portal for the analysis of human splicing variants | pt_BR |
dc.type | article | pt_BR |
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