Title
Opportunities from the use of FPGAs as platforms for bioinformatics algorithms
Abstract
This paper presents an in-depth look of how FPGA computing can offer substantial speedups in the execution of bioinformatics algorithms, with specific results achieved to date for a broad range of algorithms. Examples and case studies are presented for sequence comparison (BLAST, CAST), multiple sequence alignment (MAFFT, T-Coffee), RNA and protein secondary structure prediction (Zuker, Predator), gene prediction (Glimmer/GlimmerHMM) and phylogenetic tree computation (RAxML), running on mainstream FPGA technologies as well as high-end FPGA-based systems (Convey HC1, BeeCube). This work also presents technological and other obstacles that need to be overcome in order for FPGA computing to become a mainstream technology in Bioinformatics.
Year
DOI
Venue
2012
10.1109/BIBE.2012.6399733
BIBE
Keywords
Field
DocType
multiple sequence alignment,bioinformatics algorithm,mainstream fpga technology,fpga computing,protein secondary structure prediction,broad range,mainstream technology,sequence comparison,convey hc1,gene prediction,genetics,proteins,field programmable gate arrays,bioinformatics,rna,computer architecture,prediction algorithms,algorithm design and analysis
Computer science,Prediction algorithms,Software,Artificial intelligence,Multiple sequence alignment,Computation,Protein secondary structure prediction,Algorithm design,Gene prediction,Field-programmable gate array,Algorithm,Bioinformatics,Machine learning
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
12