LOcating Non-Unique matched Tags (LONUT) to Improve the Detection of the Enriched Regions for ChIP-seq Data

One big limitation of computational tools for analyzing ChIP-seq data is that most of them ignore non-unique tags (NUTs) that match the human genome even though NUTs comprise up to 60% of all raw tags in ChIP-seq data. Effectively utilizing these NUTs would increase the sequencing depth and allow a...

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Detalles Bibliográficos
Autores principales: Wang, Rui, Hsu, Hang-Kai, Blattler, Adam, Wang, Yisong, Lan, Xun, Wang, Yao, Hsu, Pei-Yin, Leu, Yu-Wei, Huang, Tim H.-M., Farnham, Peggy J., Jin, Victor X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692479/
https://www.ncbi.nlm.nih.gov/pubmed/23825685
http://dx.doi.org/10.1371/journal.pone.0067788

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692479/
https://www.ncbi.nlm.nih.gov/pubmed/23825685
http://dx.doi.org/10.1371/journal.pone.0067788

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