Differential methylation analysis for BS-seq data under general experimental design
University of Pittsburgh · Emory University
Abstract
MOTIVATION: DNA methylation is an epigenetic modification with important roles in many biological processes and diseases. Bisulfite sequencing (BS-seq) has emerged recently as the technology of choice to profile DNA methylation because of its accuracy, genome coverage and higher resolution. Current statistical methods to identify differential methylation mainly focus on comparing two treatment groups. With an increasing number of experiments performed under a general and multiple-factor design, particularly in reduced representation bisulfite sequencing, there is a need to develop more flexible, powerful and computationally efficient methods. RESULTS: We present a novel statistical model to detect…
Citation impact
- FWCI
- 12.01
- Percentile
- 100%
- References
- 47
Authors
2Topics & keywords
- Bioconductor
- Bisulfite sequencing
- DNA methylation
- Computer science
- Negative binomial distribution
- Epigenetics
- Computational biology
- Data mining