Title :
The Key Algorithms of Promoter Data Parallel Processing Based on OpenMP
Author :
Yan Shi ; Jun Lu ; Xinyi Shi ; Jinliang Zheng ; Jun Li
Author_Institution :
Coll. of Comput. Sci. & Technol., Heilongjiang Univ., Harbin, China
Abstract :
The key algorithm of parallel technology based on OpenMP is advanced to dispose the promoter data. The promoter data are intercepted from the upstream area of five plants sequences. The five plants contain Arabidopsis Thaliana, Soybean, Alfalfa, Rice and Beans. The processing includes disturbing the sequences in random, calculating the P value, selecting the significant motifs from the frequent motifs, labeling the sequence number and so on. The serial algorithm and the parallel algorithm are compared in the implementation procedure. The experimental result shows that the OpenMP parallel technology can effectively improve the efficiency of the promoter data analysis and processing. It is a realistic significance to the vast amounts of biological information data processing.
Keywords :
biology computing; data analysis; horticulture; parallel algorithms; Alfalfa; Arabidopsis Thaliana; OpenMP parallel technology; beans; biological information data processing; parallel algorithm; plant sequence; promoter data analysis; promoter data parallel processing; rice; serial algorithm; soybean; Algorithm design and analysis; Distributed databases; Gene expression; Instruction sets; Labeling; Parallel algorithms; biological information; gene; openmp; promoter;
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-6235-8
DOI :
10.1109/CyberC.2014.35