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    Abstract
2012 (Vol. 4, Issue: 20)
Article Information:

Using Pattern Mining Algorithms in Discovery Biological Data

Morteza Poyan Rad, Seyed Hossein Hosseiniasl and Ali Abbaszadeh Sori
Corresponding Author:  Morteza Poyan Rad 

Key words:  DNA sequences , gap, parallel mining, pattern mining, sequence mining, ,
Vol. 4 , (20): 4039-4042
Submitted Accepted Published
January 11, 2012 April 20, 2012 October 15, 2012
Abstract:

Sequences are one of the most important types of data. Recently, mining and analysis of sequence data has been studied in several fields. In a DNA sequences may exist other characters then not exist in alphabet. It is related to a function of the DNA that has been preserved in the evolutionary process of an organism. Discovery of DNA sequences dataset that contains gap is very hard job for algorithms. We present an algorithm that discovery this DNA sequences in datasets. Our algorithm used sequential pattern mining method for in problems.
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  Cite this Reference:
Morteza Poyan Rad, Seyed Hossein Hosseiniasl and Ali Abbaszadeh Sori, 2012. Using Pattern Mining Algorithms in Discovery Biological Data.  Research Journal of Applied Sciences, Engineering and Technology, 4(20): 4039-4042.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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