학술논문

Reconfiguring the Bioinformatics Computational Spectrum: Challenges and Opportunities of FPGA-Based Bioinformatics Acceleration Platforms
Document Type
Periodical
Source
IEEE Design & Test IEEE Des. Test Design & Test, IEEE. 31(1):62-73 Feb, 2014
Subject
Computing and Processing
Components, Circuits, Devices and Systems
Bioinformatics
Field programmable gate arrays
Computer architecture
Hardware
Software algorithms
Algorithm design and analysis
Computational biology
Accelerators
Language
ISSN
2168-2356
2168-2364
Abstract
This paper conducts a detailed survey on the use of FPGA-based reconfigurable computing platforms for a wide range of sequence and structural bioinformatics applications, with emphasis on performance and energy savings of the underlying architectures. Applications considered include sequence comparison, multiple sequence alignment, RNA and protein secondary structure prediction, gene prediction, and phylogenetic tree computation.