Journal
BIOINFORMATICS
Volume 37, Issue 5, Pages 711-713Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btaa732
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Funding
- Intramural Research Program of the NIH, National Institute of Environmental Health Sciences [Z01 ES049033, Z01 ES049032, Z01 ES044005, P30ES00606]
- NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES [ZIAES049032] Funding Source: NIH RePORTER
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ipDMR is an R software tool for identifying differentially methylated regions (DMRs) in epigenome-wide association analysis, which outperforms current methods with higher true positive rates and lower false discovery rates.
ipDMR is an R software tool for identification of differentially methylated regions (DMRs) using autocorrelated P-values for individual CpGs from epigenome-wide association analysis using array or bisulfite sequencing data. It summarizes P-values for adjacent CpGs, identifies association peaks and then extends peaks to find boundaries of DMRs. ipDMR uses BED format files as input and is easy to use. Simulations guided by real data found that ipDMR outperformed current available methods and provided slightly higher true positive rates and much lower false discovery rates.
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