DNA methylation patterns facilitate the identification of microRNA transcription start sites: a brain-specific study.

ABSTRACT: Predicting the transcription start sites (TSSs) of microRNAs (miRNAs) is important for understanding how these small RNA molecules, known to regulate translation and stability of protein-coding genes, are regulated themselves. Previous approaches are primarily based on genetic features, trained on TSSs of protein-coding genes, and have low prediction accuracy. Recently, a support vector machine based technique has been proposed for miRNA TSS prediction that uses known miRNA TSS for training the classifier along with a set of existing and novel CpG island based features. Current progress in epigenetics research has provided genomewide and tissue-specific reports about various phenotypic traits. We hypothesize that incorporating epigenetic characteristics into statistical models may lead to

SUBMITTER: Bhadra T 

PROVIDER: S-EPMC3691241 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature