Identifying differentially expressed transcripts from RNA-seq data with biological variation

Motivation: High-throughput sequencing enables expression analysis at the level of individual transcripts. The analysis of transcriptome expression levels and differential expression (DE) estimation requires a probabilistic approach to properly account for ambiguity caused by shared exons and finite...

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Detalles Bibliográficos
Autores principales: Glaus, Peter, Honkela, Antti, Rattray, Magnus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3381971/
https://www.ncbi.nlm.nih.gov/pubmed/22563066
http://dx.doi.org/10.1093/bioinformatics/bts260

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3381971/
https://www.ncbi.nlm.nih.gov/pubmed/22563066
http://dx.doi.org/10.1093/bioinformatics/bts260

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