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dc.contributor.authorKroll, José Eduardo-
dc.contributor.authorGalante, Pedro A. F.-
dc.contributor.authorOhara, Daniel T.-
dc.contributor.authorNavarro, Fábio C. P.-
dc.contributor.authorOhno-Machado, Lucila-
dc.contributor.authorSouza, Sandro José de-
dc.date.accessioned2017-05-31T13:34:01Z-
dc.date.available2017-05-31T13:34:01Z-
dc.date.issued2012-11-
dc.identifier.issn1547-6286-
dc.identifier.urihttps://repositorio.ufrn.br/jspui/handle/123456789/23275-
dc.languageengpt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectbioinformaticspt_BR
dc.subjectalternative splicingpt_BR
dc.subjectcombined alternative splicing eventspt_BR
dc.subjectdatabasept_BR
dc.subjectmethod of analysispt_BR
dc.subjectregular expressionspt_BR
dc.subjectnext-generation sequencingpt_BR
dc.titleSPLOOCE: A new portal for the analysis of human splicing variantspt_BR
dc.typearticlept_BR
dc.description.resumoUnderstanding 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
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