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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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| Main Authors: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2919708/ https://ncbi.nlm.nih.gov/pubmed/20385588 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkq197 |
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