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

Internet

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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