A Fast Divide-and-Conquer Algorithm for Indexing Human Genome Sequences-Reference-Cited by-同舟云学术

A Fast Divide-and-Conquer Algorithm for Indexing Human Genome Sequences

Published:2011 Issue:7 Volume:E94-D Page:1369-1377
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

LOH Woong-Kee¹,MOON Yang-Sae²,LEE Wookey³

Affiliation:

1. Department of Multimedia, Sungkyul University

2. Department of Computer Science, Kangwon National University

3. Department of Industrial Engineering, Inha University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

http://www.jstage.jst.go.jp/article/transinf/E94.D/7/E94.D_7_1369/_pdf

Reference24 articles.

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3. [3] M. Barsky, U. Stege, A. Thomo, and C. Upton, “A new method for indexing genomes using on-disk suffix trees,” Proc. ACM Conference on Information and Knowledge Management (CIKM), pp.649-658, Napa Valley, California, Oct. 2008.

4. [4] S.J. Bedathur and J.R. Haritsa, “Engineering a fast online persistent suffix tree construction,” Proc. Int'l Conf. on Data Engineering (ICDE), IEEE, pp.720-731, Boston, Massachusetts, March 2004.

5. [5] C.-F. Cheung, J. Yu, and H. Lu, “Constructing suffix tree for gigabyte sequences with megabyte memory,” IEEE Trans. Knowl. Data Eng., vol.17, no.1, pp.90-105, Jan. 2005.

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2. Prospects and limitations of full-text index structures in genome analysis;Nucleic Acids Research;2012-05-13

3. A Storage-Efficient Suffix Tree Construction Algorithm for Human Genome Sequences;IEICE Transactions on Information and Systems;2011