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

• 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

10.1534/genetics.116.195008