DocumentCode
599173
Title
Joint clustering and alignment for nucleosome occupancy analysis
Author
Liu, T.L. ; Yu Zhang ; Dennis, J.H.
Author_Institution
James S. Richards High Sch., Tallahassee, FL, USA
fYear
2012
fDate
4-7 Oct. 2012
Firstpage
934
Lastpage
936
Abstract
Several studies show that nucleosome occupancy patterns around transcription starting sites provide evolutionary and regulatory information about genes. However, as transcription starting sites may not accurately reflect physical nucleosome occupancy patterns, clustering of nucleosome occupancy patterns centered at transcription starting sites may give rise to inaccurate and blurred cluster centers, leading to potentially inaccurate conclusions. In this paper, we propose a joint clustering and alignment method and apply it to clustering of nucleosome occupancy patterns around transcription starting sites. The experimental results using the human genome-wide data show that alignment affects the significant majority of genes and leads to more pronounced local nucleosome occupancy patterns.
Keywords
genomics; macromolecules; molecular biophysics; pattern clustering; gene evolutionary information; gene regulatory information; human genome-wide data; joint clustering alignment method; local nucleosome occupancy patterns; nucleosome occupancy pattern clustering; transcription starting sites; Bioinformatics; Clustering algorithms; Genomics; Joints; Standards; Vectors; alignment; clustering; nucleosome occupancy;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
Conference_Location
Philadelphia, PA
Print_ISBN
978-1-4673-2746-6
Electronic_ISBN
978-1-4673-2744-2
Type
conf
DOI
10.1109/BIBMW.2012.6470269
Filename
6470269
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