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TC
2010
13 years 3 months ago
Network-on-Chip Hardware Accelerators for Biological Sequence Alignment
—The most pervasive compute operation carried out in almost all bioinformatics applications is pairwise sequence homology detection (or sequence alignment). Due to exponentially ...
Souradip Sarkar, Gaurav Ramesh Kulkarni, Partha Pr...
VLSISP
2010
119views more  VLSISP 2010»
12 years 11 months ago
Hardware Acceleration of HMMER on FPGAs
We propose a new parallelization scheme for the hmmsearch function of the HMMER software, in order to target FPGA technology. hmmsearch is a very compute intensive software for bio...
Steven Derrien, Patrice Quinton
IPPS
2010
IEEE
13 years 3 months ago
Fast Smith-Waterman hardware implementation
The Smith-Waterman (SW) algorithm is one of the widely used algorithms for sequence alignment in computational biology. With the growing size of the sequence database, there is alw...
Zubair Nawaz, Koen Bertels, Huseyin Ekin Sumbul
BMCBI
2008
211views more  BMCBI 2008»
13 years 5 months ago
CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment
Background: Searching for similarities in protein and DNA databases has become a routine procedure in Molecular Biology. The Smith-Waterman algorithm has been available for more t...
Svetlin Manavski, Giorgio Valle
INFOSCALE
2006
ACM
13 years 11 months ago
Scalable hardware accelerator for comparing DNA and protein sequences
Abstract— Comparing genetic sequences is a well-known problem in bioinformatics. Newly determined sequences are being compared to known sequences stored in databases in order to ...
Philippe Faes, Bram Minnaert, Mark Christiaens, Er...