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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2020
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sg-nus-scholar.10635-1752292020-09-09T13:47:20Z A bayesian approach for analysis of whole-genome bisulfite sequencing data identifies disease-associated changes in DNA methylation Rackham, O.J.L Langley, S.R Oates, T Vradi, E Harmston, N Srivastava, P.K Behmoaras, J Dellaportas, P Bottolo, L Petretto, E DUKE-NUS MEDICAL SCHOOL 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 glomerulonephritis 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 10.1534/genetics.116.195008 Genetics 205 4 1443-1458 2020-09-09T06:25:12Z 2020-09-09T06:25:12Z 2017 Article Rackham, O.J.L, Langley, S.R, Oates, T, Vradi, E, Harmston, N, Srivastava, P.K, Behmoaras, J, Dellaportas, P, Bottolo, L, Petretto, E (2017). A bayesian approach for analysis of whole-genome bisulfite sequencing data identifies disease-associated changes in DNA methylation. Genetics 205 (4) : 1443-1458. ScholarBank@NUS Repository. https://doi.org/10.1534/genetics.116.195008 0016-6731 https://scholarbank.nus.edu.sg/handle/10635/175229 Genetics Unpaywall 20200831 |
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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 glomerulonephritis 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 |
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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 glomerulonephritis 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 Rackham, O.J.L Langley, S.R Oates, T Vradi, E Harmston, N Srivastava, P.K Behmoaras, J Dellaportas, P Bottolo, L Petretto, E A bayesian approach for analysis of whole-genome bisulfite sequencing data identifies disease-associated changes in DNA methylation |
| description |
10.1534/genetics.116.195008 |
| author2 |
DUKE-NUS MEDICAL SCHOOL |
| author_facet |
DUKE-NUS MEDICAL SCHOOL Rackham, O.J.L Langley, S.R Oates, T Vradi, E Harmston, N Srivastava, P.K Behmoaras, J Dellaportas, P Bottolo, L Petretto, E |
| format |
Article |
| author |
Rackham, O.J.L Langley, S.R Oates, T Vradi, E Harmston, N Srivastava, P.K Behmoaras, J Dellaportas, P Bottolo, L Petretto, E |
| author_sort |
Rackham, O.J.L |
| title |
A bayesian approach for analysis of whole-genome bisulfite sequencing data identifies disease-associated changes in DNA methylation |
| title_short |
A bayesian approach for analysis of whole-genome bisulfite sequencing data identifies disease-associated changes in DNA methylation |
| title_full |
A bayesian approach for analysis of whole-genome bisulfite sequencing data identifies disease-associated changes in DNA methylation |
| title_fullStr |
A bayesian approach for analysis of whole-genome bisulfite sequencing data identifies disease-associated changes in DNA methylation |
| title_full_unstemmed |
A bayesian approach for analysis of whole-genome bisulfite sequencing data identifies disease-associated changes in DNA methylation |
| title_sort |
bayesian approach for analysis of whole-genome bisulfite sequencing data identifies disease-associated changes in dna methylation |
| publisher |
Genetics |
| publishDate |
2020 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/175229 |
| _version_ |
1681101895448395776 |