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osu1325276730.pdf (1.13 MB)
ETD Abstract Container
Abstract Header
Graphic Network based Methods in Discovering TFBS Motifs
Author Info
Li, Lizhi
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1325276730
Abstract Details
Year and Degree
2012, Master of Science, Ohio State University, Biophysics.
Abstract
To find motifs of transcriptional factors binding sites (TFBS) is essential to understand many biological processes in a cell. Currently the algorithms in discovering the motifs can be divided into three categories: word numeration methods, probabilistic based methods and newly developed graphic network based methods. Graphic network based methods show their advantages over the other two categories of algorithms on prediction accuracy, sensitivity and specificity. This thesis gives a comprehensive overview the main motif discovery methods which are being used now and especially, focuses on the introduction of graphic network based methods. In addition, a study in discovering the TFBS motifs of E2F1, which is a well-known transcription factor, is performed by applying graphic network based algorithms.
Committee
Kun Huang (Advisor)
Victor Jin (Committee Member)
Pages
38 p.
Subject Headings
Biophysics
Keywords
Motif
;
discovery
;
graph
;
graphic
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Citations
Li, L. (2012).
Graphic Network based Methods in Discovering TFBS Motifs
[Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1325276730
APA Style (7th edition)
Li, Lizhi.
Graphic Network based Methods in Discovering TFBS Motifs.
2012. Ohio State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1325276730.
MLA Style (8th edition)
Li, Lizhi. "Graphic Network based Methods in Discovering TFBS Motifs." Master's thesis, Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1325276730
Chicago Manual of Style (17th edition)
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Document number:
osu1325276730
Download Count:
881
Copyright Info
© 2011, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.