Mixture models reveal multiple positional bias types in RNA-Seq data and lead to accurate transcript concentration estimates

Accuracy of transcript quantification with RNA-Seq is negatively affected by positional fragment bias. This article introduces Mix(2) (rd. “mixquare”), a transcript quantification method which uses a mixture of probability distributions to model and thereby neutralize the effects of positional fragm...

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Detalles Bibliográficos
Autores principales: Tuerk, Andreas, Wiktorin, Gregor, Güler, Serhat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5448817/
https://www.ncbi.nlm.nih.gov/pubmed/28505151
http://dx.doi.org/10.1371/journal.pcbi.1005515

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5448817/
https://www.ncbi.nlm.nih.gov/pubmed/28505151
http://dx.doi.org/10.1371/journal.pcbi.1005515

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