DocumentCode :
3523039
Title :
Efficient parallel algorithms for processing biological sequences
Author :
Rajasekaran, Sanguthevar ; Ammar, R. ; Shin, D.G. ; Zhang, G.
Author_Institution :
Dept. of CSE, Connecticut Univ., CT, USA
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
487
Lastpage :
490
Abstract :
Processing of biological sequences is a compute-intensive problem. The amount of data available in biology is enormous that sequential techniques will take a very long time to process them. In this paper we present many parallel algorithms for biological data processing. We consider a scenario where the operations performed on the sequences are arbitrary. In particular we assume that a sequential algorithm (or program) is given as an input (with the option of making several copies). The input consists of a file of sequences to be processed. The goal is to process all these sequences as efficiently as possible.
Keywords :
biology computing; parallel algorithms; biological data processing; biological sequences; compute-intensive problem; parallel algorithms; Biology computing; Data processing; Databases; Parallel algorithms; Parallel processing; Partitioning algorithms; Phylogeny; Protein engineering; Random variables; Sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on
Print_ISBN :
0-7803-8292-7
Type :
conf
DOI :
10.1109/ISSPIT.2003.1341164
Filename :
1341164
Link To Document :
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