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Stochastic Modeling Of Rna Polymerase Predicts Transcription Factor Activity, Joseph Gaspare Azofeifa Jan 2017

Stochastic Modeling Of Rna Polymerase Predicts Transcription Factor Activity, Joseph Gaspare Azofeifa

Computer Science Graduate Theses & Dissertations

Seventy-six percent of disease associated variants occur in non-genic sites of open chromatin suggesting that the regulation of gene expression plays a crucial role in human health. Nucleosome- free with flanking chromatin modifications, these regulatory loci are optimal platforms for tran- scription binding and, in fact, recruit RNA Polymerase. The subsequent transcription of these sites is an unintuitive discovery as these regulatory loci do not harbor an open reading frame.

The role these enhancer RNAs (eRNA) play in downstream gene regulation remains an open and exciting question. However, fast RNA degradation rates challenge eRNA identification, requiring non-traditional sequencing technologies. Global ...