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020 ▼a 9780438098848
035 ▼a (MiAaPQ)AAI10901946
035 ▼a (MiAaPQ)OhioLINK:osu1512041623395438
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 574
1001 ▼a Ouma, Zachary Wilberforce.
24510 ▼a Topological Properties of Eukaryotic Gene Regulatory Networks.
260 ▼a [S.l.] : ▼b The Ohio State University., ▼c 2017
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2017
300 ▼a 178 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Richard Slotkin.
5021 ▼a Thesis (Ph.D.)--The Ohio State University, 2017.
520 ▼a Understanding transcriptional regulation of gene expression on a genome-wide scale is predicated on deciphering interactions between all participating regulatory proteins and DNA. Advances in genomics are facilitating the high-throughput identif
520 ▼a In this work, I first present an investigative inquiry whose goal was to identify the source of unaligned sequence reads generated in studies aimed at identifying transcription factor binding sites (TFBSs). Determining TFBSs and the resulting ar
520 ▼a Secondly, I describe the architectural organization and associated emergent topological properties of GRNs that describe protein-DNA interactions (PDIs) in several model eukaryotes. By analyzing GRN connectivity, results presented here show that
520 ▼a Lastly, I discuss future perspectives of this work. I briefly present models that can be used to capture GRN dynamics. I focus on a class of logical models---the Boolean network model, and propose a framework for constructing and implementing a
590 ▼a School code: 0168.
650 4 ▼a Molecular biology.
650 4 ▼a Bioinformatics.
650 4 ▼a Developmental biology.
690 ▼a 0307
690 ▼a 0715
690 ▼a 0758
71020 ▼a The Ohio State University. ▼b Molecular, Cellular and Developmental Biology.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0168
791 ▼a Ph.D.
792 ▼a 2017
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000337 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자