ZipHiC: a novel Bayesian framework to identify enriched interactions and experimental biases in Hi-C data

MOTIVATION: Several computational and statistical methods have been developed to analyze data generated through the 3C-based methods, especially the Hi-C. Most of the existing methods do not account for dependency in Hi-C data. RESULTS: Here, we present ZipHiC, a novel statistical method to explore...

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Detalles Bibliográficos
Autores principales: Osuntoki, Itunu G, Harrison, Andrew, Dai, Hongsheng, Bao, Yanchun, Zabet, Nicolae Radu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272800/
https://www.ncbi.nlm.nih.gov/pubmed/35678507
http://dx.doi.org/10.1093/bioinformatics/btac387

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272800/
https://www.ncbi.nlm.nih.gov/pubmed/35678507
http://dx.doi.org/10.1093/bioinformatics/btac387

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