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Computational Study of Transcriptional Regulation- From Sequence To Expression

By Shan Zhong and Roni Rosenfeld

Abstract

Transcription is the process during which RNA molecules are synthesized based on the DNAs in cells. Transcription leads to gene expression, and it is the first step in the flow of genetic information from DNA to proteins that carry out biological functions. Transcription is tightly regulated both spatially and temporally at multiple levels, so that the amount of mRNAs produced for different genes is controlled across different kinds of cells and tissues, as well as in different developmental stages and in response to different environmental stimulus. In eukaryotes, transcription is a complicated process and its regulation involves both cis-regulatory elements and trans-acting factors. By studying spatiotemporally what genes are regulated by which cis-elements and trans-factors, we can get a better understanding of how we develop, how we react to environmental signals, and the mechanisms behind diseases like cancer that, at least in part, result from failures in proper transcriptional regulation. In this thesis, we present a suite of computational methods and analyses that, combined, provide a solution to problems related to the identification of DNA bindin

Topics: Motif finding, Transcriptional regulatory network, p53, Protein binding microarray, Tissue specificity, EIN3, Ethylene responseTo my parents, my wife, and my soon-to-be-born son. ivAbstract
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.363.406
Provided by: CiteSeerX
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