A bayesian approach for analysis of whole-genome bisulfite sequencing data identifies disease-associated changes in DNA methylation

A bayesian approach for analysis of whole-genome bisulfite sequencing data identifies disease-associated changes in DNA methylation

10.1534/genetics.116.195008

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Bibliographic Details
Main Authors:	Rackham, O.J.L, Langley, S.R, Oates, T, Vradi, E, Harmston, N, Srivastava, P.K, Behmoaras, J, Dellaportas, P, Bottolo, L, Petretto, E
Other Authors:	DUKE-NUS MEDICAL SCHOOL
Format:	Article
Published:	Genetics 2020
Subjects:	DNA transcription factor JunD IFITM3 protein, rat membrane protein animal cell animal experiment Article Bayesian learning controlled study CpG island DNA methylation gene gene expression gene function gene identification gene repression glomerulonephritis lfitm3 gene macrophage nonhuman pathogenesis priority journal promoter region protein binding rat RNA sequence whole genome bisulfite sequencing whole genome sequencing animal Bayes theorem DNA sequence genetics genome high throughput sequencing Lewis rat procedures sensitivity and specificity Wistar Kyoto rat Animals Bayes Theorem DNA Methylation Genome Glomerulonephritis High-Throughput Nucleotide Sequencing Membrane Proteins Promoter Regions, Genetic Rats Rats, Inbred Lew Rats, Inbred WKY Sensitivity and Specificity Sequence Analysis, DNA
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/175229
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Institution:	National University of Singapore

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