Title :
A modified algorithm for species specific motif discovery
Author :
Abdullah, Sharifah Lailee Syed ; Harun, Hazaruddin ; Taib, Mohd Nasir
Author_Institution :
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Arau, Perlis, Malaysia
Abstract :
Motif discovery can be used to categorize unknown DNA sequences into their corresponding families. For this study, PSO was modified for discovering motif. The modified Linear-PSO is chosen even though it is a slower because linear search is not a choice but a necessary criteria for identifying motif of pig (Sus Scrofa). Pig motif identification is a critical for halal authentication. The modified Linear-PSO algorithm used linear number for population initializing and next position updating. For each cycle, only a particle called ‘target motif’ was selected and compared with other DNA sequences for fitness calculation. Motif discovered can be used as a standard motif for species identification. Experimental results show that the modified algorithm is able to identify motifs as expected. This study showed that a slower algorithm is still needed and has value based on how critical the problem is.
Keywords :
Animals; Complexity theory; Conferences; DNA; Databases; Humans; Particle swarm optimization; Motif Discovery; PSO; Species Specific;
Conference_Titel :
Science and Social Research (CSSR), 2010 International Conference on
Conference_Location :
Kuala Lumpur, Malaysia
Print_ISBN :
978-1-4244-8987-9
DOI :
10.1109/CSSR.2010.5773930