Open Access

Downloads

Download data is not yet available.

Abstract

We have developed a system for supporting the query in a database of DNA sequences. We would like to develop a system for grouping similar DNA sequences into clusters based on frequent motifs or motif phrases. Each cluster is represented by a cluster feature vector of maximal frequent motifs or motif phrases). A motif tree of cluster features is built. The similarity search will be divided into two steps. Firstly, the system will search the clusters which have the high matching with the query pattern. Secondly, the traditional matching techniques (FASTA or BLAST) will be used for matching between pattern and a small number of DNA sequences of selected cluster.



Author's Affiliation
Article Details

Issue: Vol 4 No 1&2 (2001)
Page No.: 83-89
Published: Feb 28, 2001
Section: Article
DOI: https://doi.org/10.32508/stdj.v4i1&2.3477

 Copyright Info

Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Kiem, H., & Phuc, D. (2001). DEVELOPING A MOTIF BASED CLUSTERING ALGORITHM FOR SUPPORTING THE QUERY IN DATABASE OF DNA SEQUENCES. Science and Technology Development Journal, 4(1&2), 83-89. https://doi.org/https://doi.org/10.32508/stdj.v4i1&2.3477

 Cited by



Article level Metrics by Paperbuzz/Impactstory
Article level Metrics by Altmetrics

 Article Statistics
HTML = 1037 times
Download PDF   = 406 times
Total   = 406 times