We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Graphics processing units in bioinformatics, computational biology and systems biology.
- Authors
Nobile, Marco S.; Cazzaniga, Paolo; Tangherloni, Andrea; Besozzi, Daniela
- Abstract
Several studies in Bioinformatics, Computational Biology and Systems Biology rely on the definition of physico-chemical or mathematical models of biological systems at different scales and levels of complexity, ranging from the interaction of atoms in single molecules up to genome-wide interaction networks. Traditional computational methods and software tools developed in these research fields share a common trait: they can be computationally demanding on Central Processing Units (CPUs), therefore limiting their applicability in many circumstances. To overcome this issue, general-purpose Graphics Processing Units (GPUs) are gaining an increasing attention by the scientific community, as they can considerably reduce the running time required by standard CPU-based software, and allow more intensive investigations of biological systems. In this review, we present a collection of GPU tools recently developed to perform computational analyses in life science disciplines, emphasizing the advantages and the drawbacks in the use of these parallel architectures. The complete list of GPU-powered tools here reviewed is available at http://bit.ly/gputools.
- Subjects
GRAPHICS processing units; BIOINFORMATICS; COMPUTATIONAL biology; SYSTEMS biology; CENTRAL processing units
- Publication
Briefings in Bioinformatics, 2017, Vol 18, Issue 5, p870
- ISSN
1467-5463
- Publication type
Article
- DOI
10.1093/bib/bbw058