DocumentCode :
2097366
Title :
A Bioinformatic Approach to Genetic Diversity
Author :
Grewal, H.K. ; Sandhu, P.S. ; Singh, Manpreet
Author_Institution :
Dept. of CSE & I.T., Guru Nanak Dev. Eng. Coll., Punjab
fYear :
2006
fDate :
13-14 Nov. 2006
Firstpage :
761
Lastpage :
764
Abstract :
This paper deals with the various search and analysis techniques involving different possible pairs of varieties selected on the basis of morphological characters, climatic conditions and nutrients so as to obtain the optimal pair that can produce the required crossbreed variety. An algorithm has been developed to determine the genetic diversity between the selected wheat varieties. Data mining techniques have been used for retrieving the results. Dummy values have been assumed wherever actual data was not available. MATLAB has been deployed to demonstrate the results in a better visual perspective
Keywords :
biology computing; biotechnology; data mining; genetics; mathematics computing; MATLAB; bioinformatic approach; climatic conditions; crossbreed variety; data mining; genetic diversity; nutrients; wheat varieties; Bioinformatics; Biological system modeling; Biology; Biotechnology; Data mining; Databases; Educational institutions; Genetics; Information retrieval; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies, 2006. ICET '06. International Conference on
Conference_Location :
Peshawar
Print_ISBN :
1-4244-0502-5
Electronic_ISBN :
1-4244-0503-3
Type :
conf
DOI :
10.1109/ICET.2006.335940
Filename :
4136908
Link To Document :
بازگشت