BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues

BACKGROUND: Bisulfite sequencing is widely employed to study the role of DNA methylation in disease; however, the data suffer from biases due to coverage depth variability. Imputation of methylation values at low-coverage sites may mitigate these biases while also identifying important genomic featu...

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Detalles Bibliográficos
Autores principales: Zou, Luli S., Erdos, Michael R., Taylor, D. Leland, Chines, Peter S., Varshney, Arushi, Parker, Stephen C. J., Collins, Francis S., Didion, John P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5966887/
https://www.ncbi.nlm.nih.gov/pubmed/29792182
http://dx.doi.org/10.1186/s12864-018-4766-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5966887/
https://www.ncbi.nlm.nih.gov/pubmed/29792182
http://dx.doi.org/10.1186/s12864-018-4766-y

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