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Universal Count Correction for High-Throughput Sequencing

We show that existing RNA-seq, DNase-seq, and ChIP-seq data exhibit overdispersed per-base read count distributions that are not matched to existing computational method assumptions. To compensate for this overdispersion we introduce a nonparametric and universal method for processing per-base seque...

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Detalles Bibliográficos
Autores principales:	Hashimoto, Tatsunori B., Edwards, Matthew D., Gifford, David K.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2014
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3945112/ https://www.ncbi.nlm.nih.gov/pubmed/24603409 http://dx.doi.org/10.1371/journal.pcbi.1003494

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