Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package

As the use of RNA-seq has popularized, there is an increasing consciousness of the importance of experimental design, bias removal, accurate quantification and control of false positives for proper data analysis. We introduce the NOISeq R-package for quality control and analysis of count data. We sh...

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Detalles Bibliográficos
Autores principales: Tarazona, Sonia, Furió-Tarí, Pedro, Turrà, David, Pietro, Antonio Di, Nueda, María José, Ferrer, Alberto, Conesa, Ana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666377/
https://www.ncbi.nlm.nih.gov/pubmed/26184878
http://dx.doi.org/10.1093/nar/gkv711

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666377/
https://www.ncbi.nlm.nih.gov/pubmed/26184878
http://dx.doi.org/10.1093/nar/gkv711

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