Abstract

With the progress in computer science and raw computational power available today, human quest to learn and understand the complex relationships within the subsets of biology, e.g., biological response, biodiversity, genetics, medicine, etc. has got a new promise. Computational Biology represents the marriage of computer science and biology, and spans may disciplines, such as bioinformatics (genomics and post-genomics), clinical informatics, medical imaging, bioengineering, etc. It finds application in many areas of life science, e.g., the development of human therapeutics, diagnostics, pyrognostics and forensics, up through the simulation of large entities such as populations and ecosystems. Genomics is the determination of the entire DNA sequence of an organism. The goal of modern human genomics is preventive, predictive, and individualized medicine. In agriculture, the goal is the production of foods with improved production characteristics and, increasingly beneficial consumer traits. Post-genomics refers to the biological processes that follow from DNA sequence(e.g. transciptomics, proteomics, metabolomics, etc.).

Keywords

Computer scienceImplementationSequence (biology)SoftwareSoftware implementationParallel computingComputer hardwareOperating systemProgramming languageChemistry

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Publication Info

Year
2005
Type
other
Pages
233-264
Citations
4
Access
Closed

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Cite This

Vipin Chaudhary, Feng Liu, Vijay Matta et al. (2005). Parallel Implementations of Local Sequence Alignment: Hardware and Software. Parallel Computing for Bioinformatics and Computational Biology , 233-264. https://doi.org/10.1002/0471756504.ch10

Identifiers

DOI
10.1002/0471756504.ch10

Data Quality

Data completeness: 77%