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
Link To Document :
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