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Unconstrained mining of transcript data reveals increased alternative splicing complexity in the human transcriptome

Mining massive amounts of transcript data for alternative splicing information is paramount to help understand how the maturation of RNA regulates gene expression. We developed an algorithm to cluster transcript data to annotated genes to detect unannotated splice variants. A higher number of altern...

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Detalles Bibliográficos
Autores principales: Mollet, I. G., Ben-Dov, Claudia, Felício-Silva, Daniel, Grosso, A. R., Eleutério, Pedro, Alves, Ruben, Staller, Ray, Silva, Tito Santos, Carmo-Fonseca, Maria
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2919708/
https://www.ncbi.nlm.nih.gov/pubmed/20385588
http://dx.doi.org/10.1093/nar/gkq197