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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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書目詳細資料
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
其他作者: DUKE-NUS MEDICAL SCHOOL
格式: Article
出版: Genetics 2020
主題:
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
在線閱讀:https://scholarbank.nus.edu.sg/handle/10635/175229
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https://scholarbank.nus.edu.sg/handle/10635/175229

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