DocumentCode :
1686492
Title :
Parallel implementation of genomic sequences classification using modified Gabor wavelet transform on multicore systems
Author :
Gunawan, Teddy Surya ; Ambikairajah, Eliathamby
Author_Institution :
Electr. & Comput. Eng. Dept., Int. Islamic Univ. Malaysia, Kuala Lumpur, Malaysia
fYear :
2012
Firstpage :
165
Lastpage :
168
Abstract :
High processing time is required to classify genomic sequences and to identify protein coding of a DNA sequence. While computer performance has been driven largely by decreasing the size of chips while increasing the number of transistors they contain, the current computing trend is multicore system in which two or more independent cores are integrated into a single package. This paper presents the parallel implementation of the gene and exon identification of DNA sequences using the previously developed modified Gabor wavelet transform on multicore systems. Single Program Multiple Data (SPMD) parallel paradigm will be used in the parallel implementation. Furthermore, the efficiency of the proposed algorithm will be analyzed using Amdahl´s law.
Keywords :
DNA; biological techniques; biology computing; genetics; molecular biophysics; molecular configurations; multiprocessing systems; parallel processing; wavelet transforms; Amdahl law; DNA sequence exon identification; DNA sequence gene identification; DNA sequence protein coding identification; SPMD parallel paradigm; computer performance; genomic sequences classification parallel implementation; modified Gabor wavelet transform; multicore systems; single program multiple data parallel paradigm; Bioinformatics; DNA; Encoding; Genomics; Multicore processing; Proteins; Transforms; Amdahl´s law; SPMD; gene prediction; genomic signal processing; multicore system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering (ICoBE), 2012 International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4577-1990-5
Type :
conf
DOI :
10.1109/ICoBE.2012.6178998
Filename :
6178998
Link To Document :
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