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Displaying 1-4 out of 4 total
Optimizing Big Data in Bioinformatics with Swarm Algorithms
Found in: 2013 IEEE 16th International Conference on Computational Science and Engineering (CSE)
By Shuzlina Abdul-Rahman,Azuraliza Abu Bakar,Zeti-Azura Mohamed-Hussein
Issue Date:December 2013
pp. 1091-1095
This paper describes the application of swarm algorithms on bioinformatics data namely protein sequences. The big data that exists in bioinformatics domains require an intelligent method that capable to increase the performance of classification as well as...
Improving Molecular Dynamics Simulation Performance on Low-Cost Systems
Found in: Computing in Science & Engineering
By Teong Han Chew,Kwee Hong Joyce-Tan,Zeti Azura Mohamed Hussein,Pek Iee Elizabeth-Chia,Mohd Shahir Shamsir
Issue Date:May 2013
pp. 64-70
For simulation-based work, researchers often have limited hardware capacities and budgets, so they create a low-cost parallel computing platform using PCs and commodity hardware, assembled and configured as a Beowulf-class computing cluster. Here, an astut...
The Phylogenetic Tree of RNA Polymerase Constructed Using MOM Method
Found in: Soft Computing and Pattern Recognition, International Conference of
By Nora Muda, Abdul Rahman Othman, Nazalan Najimudin, Zeti Azura Mohamed Hussein
Issue Date:December 2009
pp. 484-489
Phylogenetic analysis is a study of evolutionary relationship between organisms or species, and the evolutionary is displayed as a phylogenetic tree. In this paper, the phylogenetic tree was constructed by using distance-based method; UPGMA and the propose...
Experimental Study of Different FSAs in Classifying Protein Function
Found in: Soft Computing and Pattern Recognition, International Conference of
By Shuzlina Abdul Rahman, Zeti Azura Mohamed Hussein, Azuraliza Abu Bakar
Issue Date:December 2009
pp. 516-521
This paper addresses one of the challenges of machine learning in improving performance through feature selection algorithms (FSAs). Application of FSAs in the bioinformatics domain has become a necessity due to enormous growth of public sequence databases...