Epigenetic change detection and pattern recognition via Bayesian hierarchical hidden Markov models.

ABSTRACT: Epigenetics is the study of changes to the genome that can switch genes on or off and determine which proteins are transcribed without altering the DNA sequence. Recently, epigenetic changes have been linked to the development and progression of disease such as psychiatric disorders. High-throughput epigenetic experiments have enabled researchers to measure genome-wide epigenetic profiles and yield data consisting of intensity ratios of immunoprecipitation versus reference samples. The intensity ratios can provide a view of genomic regions where protein binding occur under one experimental condition and further allow us to detect epigenetic alterations through comparison between two different conditions. However, such experiments can be expensive, with only a few replicates available. More

SUBMITTER: Wang X 

PROVIDER: S-EPMC4009397 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature