Efficient retrieval of DNA sequences using multi-way clustering

Sungmin Joo; Motomichi Toyama

doi:10.1109/ICDE.2005.215

Efficient retrieval of DNA sequences using multi-way clustering

Sungmin Joo, Motomichi Toyama

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A retrieval on large DNA sequence data is very important in bioinformatics. However, it takes much time to search and comparison on large DNA sequence data. In this paper, we propose multi-way clustering for improving both the speed of retrieval and implement them. The result shows that multi-way clustering is a more efficient approach for retrieval of DNA sequence.

Original language	English
Title of host publication	Proceedings - International Workshop on Biomedical Data Engineering, BMDE2005
Publisher	IEEE Computer Society
Pages	1262-1265
Number of pages	4
ISBN (Print)	0769526578, 9780769526577
DOIs	https://doi.org/10.1109/ICDE.2005.215
Publication status	Published - 2005
Event	21st International Conference on Data Engineering Workshops 2005 - Tokyo, Japan Duration: 2005 Apr 3 → 2005 Apr 4

Publication series

Name	Proceedings - International Workshop on Biomedical Data Engineering, BMDE2005
Volume	2005

Other

Other	21st International Conference on Data Engineering Workshops 2005
Country/Territory	Japan
City	Tokyo
Period	05/4/3 → 05/4/4

ASJC Scopus subject areas

Engineering(all)

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10.1109/ICDE.2005.215

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Efficient retrieval of DNA sequences using multi-way clustering. / Joo, Sungmin; Toyama, Motomichi.

Proceedings - International Workshop on Biomedical Data Engineering, BMDE2005. IEEE Computer Society, 2005. p. 1262-1265 1647879 (Proceedings - International Workshop on Biomedical Data Engineering, BMDE2005; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Joo, S & Toyama, M 2005, Efficient retrieval of DNA sequences using multi-way clustering. in Proceedings - International Workshop on Biomedical Data Engineering, BMDE2005., 1647879, Proceedings - International Workshop on Biomedical Data Engineering, BMDE2005, vol. 2005, IEEE Computer Society, pp. 1262-1265, 21st International Conference on Data Engineering Workshops 2005, Tokyo, Japan, 05/4/3. https://doi.org/10.1109/ICDE.2005.215

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title = "Efficient retrieval of DNA sequences using multi-way clustering",

abstract = "A retrieval on large DNA sequence data is very important in bioinformatics. However, it takes much time to search and comparison on large DNA sequence data. In this paper, we propose multi-way clustering for improving both the speed of retrieval and implement them. The result shows that multi-way clustering is a more efficient approach for retrieval of DNA sequence.",

author = "Sungmin Joo and Motomichi Toyama",

year = "2005",

doi = "10.1109/ICDE.2005.215",

language = "English",

isbn = "0769526578",

series = "Proceedings - International Workshop on Biomedical Data Engineering, BMDE2005",

publisher = "IEEE Computer Society",

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note = "21st International Conference on Data Engineering Workshops 2005 ; Conference date: 03-04-2005 Through 04-04-2005",

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AB - A retrieval on large DNA sequence data is very important in bioinformatics. However, it takes much time to search and comparison on large DNA sequence data. In this paper, we propose multi-way clustering for improving both the speed of retrieval and implement them. The result shows that multi-way clustering is a more efficient approach for retrieval of DNA sequence.

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BT - Proceedings - International Workshop on Biomedical Data Engineering, BMDE2005

PB - IEEE Computer Society

T2 - 21st International Conference on Data Engineering Workshops 2005

Y2 - 3 April 2005 through 4 April 2005

ER -

Efficient retrieval of DNA sequences using multi-way clustering

Abstract

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ASJC Scopus subject areas

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