Table of Contents
ISRN Bioinformatics
Volume 2013, Article ID 174064, 9 pages
Research Article

NucVoter: A Voting Algorithm for Reliable Nucleosome Prediction Using Next-Generation Sequencing Data

Institute of Molecular Medicine and Genetics, Georgia Regents University, Augusta, GA 30912, USA

Received 17 July 2013; Accepted 8 September 2013

Academic Editors: A. Bolshoy, B. Haubold, S. Liuni, A. Pulvirenti, and C.-A. Tsai

Copyright © 2013 Boseon Byeon. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Nucleosomes, which consist of DNA wrapped around histone octamers, are dynamic, and their structure, including their location, size, and occupancy, can be transformed. Nucleosomes can regulate gene expression by controlling the DNA accessibility of proteins. Using next-generation sequencing techniques along with such laboratory methods as micrococcal nuclease digestion, predicting the genomic locations of nucleosomes is possible. However, the true locations of nucleosomes are unknown, and it is difficult to determine their exact locations using next-generation sequencing data. This paper proposes a novel voting algorithm, NucVoter, for the reliable prediction of nucleosome locations. Multiple models verify the consensus areas in which nucleosomes are placed by the model with the highest priority. NucVoter significantly improves the performance of nucleosome prediction.