Cargando…
Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation
Autores principales: | Love, Michael I., Hogenesch, John B., Irizarry, Rafael A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5143225/ https://www.ncbi.nlm.nih.gov/pubmed/27669167 http://dx.doi.org/10.1038/nbt.3682 |
Ejemplares similares
-
IVT-seq reveals extreme bias in RNA sequencing
por: Lahens, Nicholas F, et al.
Publicado: (2014) -
Accounting for GC-content bias reduces systematic errors and batch effects in ChIP-seq data
por: Teng, Mingxiang, et al.
Publicado: (2017) -
Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias
por: Zhan, Shuhua, et al.
Publicado: (2021) -
Improving RNA-Seq expression estimates by correcting for fragment bias
por: Roberts, Adam, et al.
Publicado: (2011) -
Overcoming bias and systematic errors in next generation sequencing data
por: Taub, Margaret A, et al.
Publicado: (2010)