DocumentCode :
2971516
Title :
Identifying the definite base of COI for extraction of DNA sequences using LPBS
Author :
Abdullah, Sharifah Lailee Syed ; Harun, Hazaruddin ; Hussin, Naimah Mohd ; Hamid, Jiwa Noris ; Hanaphi, Roziana Mohamed
Author_Institution :
Fac. of Comput. Sci. & Math., UiTM Arau, Arau, Malaysia
fYear :
2012
fDate :
24-27 June 2012
Firstpage :
1145
Lastpage :
1148
Abstract :
This paper presents the use of the `Linear-PSO with Binary Search´ (LPBS) algorithm for discovering motifs, especially species-specific motifs. In this study, two samples from different fragments of `mitochondrial cytochrome C oxidase subunit I´ (COI/COX1) were collected from the Genbank online database. DNA sequences for the first sample are a mix of different fragments of COI and the second sample is from the same fragment of COI. The genome of COI was used as a reference set and other DNA sequences were used as a comparison set. All the collected DNA sequences are from the same species. The results show that the LPBS algorithm is able to discover motifs of greater length when using DNA sequences from the same fragment of COI. The experiment also found that 139 can be used as a starting base for COI DNA sequences extraction to discover species-specific motifs.
Keywords :
DNA; biology computing; enzymes; genomics; molecular biophysics; particle swarm optimisation; DNA sequences; Genbank online database; genome; linear-PSO-with-binary search algorithm; mitochondrial cytochrome C oxidase subunit I; particle swarm optimization; species-specific motifs; Algorithm design and analysis; Animals; Bioinformatics; DNA; Databases; Genomics; Particle swarm optimization; Linear-PSO; Particle Swarm Optimization; motif discovery; species specific;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Humanities, Science and Engineering Research (SHUSER), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-1311-7
Type :
conf
DOI :
10.1109/SHUSER.2012.6268794
Filename :
6268794
Link To Document :
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