Title :
Hardware acceleration of sequence alignment algorithms-an overview
Author :
Hasan, Laiq ; Al-Ars, Zaid ; Vassiliadis, Stamatis
Author_Institution :
Delft Univ. of Technol., Delft
Abstract :
Sequence alignment is one of the most important activities in bioinformatics. With the ever increasing volume of data in bioinformatics databases, the time for comparing a query sequence with the available databases is always increasing. Many algorithms have been proposed to perform and accelerate sequence alignment activities. This paper introduces a taxonomy of the various sequence alignment algorithms found in the literature, with particular emphasis on the Smith-Waterman (S-W) algorithm. The paper also provides a classification of the available hardware acceleration methods used to speed up the S-W algorithm.
Keywords :
biology computing; database management systems; query processing; sequences; Smith-Waterman algorithm; bioinformatics databases; hardware acceleration; query sequence; sequence alignment algorithms; taxonomy; Acceleration; Bioinformatics; Biology computing; Databases; Dynamic programming; Genomics; Hardware; Laboratories; Proteins; Sequences; Bioinformatics; Dynamic Programming; Hardware Acceleration; Sequence Alignment; Smith-Waterman Algorithm;
Conference_Titel :
Design & Technology of Integrated Systems in Nanoscale Era, 2007. DTIS. International Conference on
Conference_Location :
Rabat
Print_ISBN :
978-1-4244-1277-8
Electronic_ISBN :
978-1-4244-1278-5
DOI :
10.1109/DTIS.2007.4449499