Downloads
Abstract
The "Gene mapping” refers to mapping of genes to specific locations on chromosomes. It is a critical step in the understanding of genetic diseases. There are two types of gene mapping: genetic mapping - using linkage analysis to determine the relation between two genes on a chromosome; physical mapping - using all available techniques or information to determine the absolute position of a gene on a chromosome. In this paper we propose an approach to improve the efficiency of the algorithms using linkage analysis on gene mapping. We build the algorithms by using the Haplotype Pattern Mining (HPM) Algorithms and Density Based Spatial Clustering of Application with Noise Algorithm (DBSCAN). These algorithms are implemented on the Grid Computing System which includes the clusters of HCMC Institute of Information Technology (IOIT-HCM) and Korea Institute of Science and Technology Information (KISTI).
Issue: Vol 9 No 6 (2006)
Page No.: 5-12
Published: Jun 30, 2006
Section: Article
DOI: https://doi.org/10.32508/stdj.v9i6.2914
Download PDF = 342 times
Total = 342 times
Most read articles by the same author(s)
- Nguyen Ngoc Tu, Tran Van Lang, USING GA-SA HYBRID ALGORITHM FOR MULTIPLESEQUENCE ALIGNMENT PROBLEM , Science and Technology Development Journal: Vol 10 No 4 (2007)