Bioinformatics
Bioinformatics
From Wikipedia, the free encyclopedia
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For the journal, see Bioinformatics (journal).
[pic]
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Map of the human X chromosome (from the NCBI website). Assembly of the human genome is one of the greatest achievements of bioinformatics.
Bioinformatics is the application of statistics and computer science to the field of molecular biology.
The term bioinformatics was coined by Paulien Hogeweg and Ben Hesper in 1978 for the study of informatic processes in biotic systems[1]. Its primary use since at least the late 1980s has been in genomics and genetics, particularly in those areas of genomics involving large-scale DNA sequencing.
Bioinformatics now entails the creation and advancement of databases, algorithms, computational and statistical techniques and theory to solve formal and practical problems arising from the management and analysis of biological data.
Over the past few decades rapid developments in genomic and other molecular research technologies and developments in information technologies have combined to produce a tremendous amount of information related to molecular biology. It is the name given to these mathematical and computing approaches used to glean understanding of biological processes.
Common activities in bioinformatics include mapping and analyzing DNA and protein sequences, aligning different DNA and protein sequences to compare them and creating and viewing 3-D models of protein structures.
The primary goal of bioinformatics is to increase the understanding of biological processes. What sets it apart from other approaches, however, is its focus on developing and applying computationally intensive techniques (e.g., pattern recognition, data mining, machine learning algorithms, and visualization) to achieve this goal. Major research efforts in the field include sequence alignment, gene finding, genome assembly, drug design, drug discovery, protein structure alignment, protein structure
From Wikipedia, the free encyclopedia
Jump to: navigation, search
For the journal, see Bioinformatics (journal).
[pic]
[pic]
Map of the human X chromosome (from the NCBI website). Assembly of the human genome is one of the greatest achievements of bioinformatics.
Bioinformatics is the application of statistics and computer science to the field of molecular biology.
The term bioinformatics was coined by Paulien Hogeweg and Ben Hesper in 1978 for the study of informatic processes in biotic systems[1]. Its primary use since at least the late 1980s has been in genomics and genetics, particularly in those areas of genomics involving large-scale DNA sequencing.
Bioinformatics now entails the creation and advancement of databases, algorithms, computational and statistical techniques and theory to solve formal and practical problems arising from the management and analysis of biological data.
Over the past few decades rapid developments in genomic and other molecular research technologies and developments in information technologies have combined to produce a tremendous amount of information related to molecular biology. It is the name given to these mathematical and computing approaches used to glean understanding of biological processes.
Common activities in bioinformatics include mapping and analyzing DNA and protein sequences, aligning different DNA and protein sequences to compare them and creating and viewing 3-D models of protein structures.
The primary goal of bioinformatics is to increase the understanding of biological processes. What sets it apart from other approaches, however, is its focus on developing and applying computationally intensive techniques (e.g., pattern recognition, data mining, machine learning algorithms, and visualization) to achieve this goal. Major research efforts in the field include sequence alignment, gene finding, genome assembly, drug design, drug discovery, protein structure alignment, protein structure
References: 1. ^ Hogeweg, P. (1978). Simulating the growth of cellular forms. Simulation 31, 90-96; Hogeweg, P. and Hesper, B. (1978) Interactive instruction on population interactions. Comput Biol Med 8:319-27. 2. ^ Sanger F, Air GM, Barrell BG, Brown NL, Coulson AR, Fiddes CA, Hutchison CA, Slocombe PM, Smith M (February 1977). "Nucleotide sequence of bacteriophage phi X174 DNA". Nature 265 (5596): 687–95. PMID 870828. 3 | |lacks inline citations. Please improve this article by introducing more precise citations where appropriate. (February | | |2008) | • Baldi, P and Brunak, S, Bioinformatics: The Machine Learning Approach, 2nd edition. MIT Press, 2001. ISBN 0-262-02506-X • Barnes, M.R • Claverie, J.M. and C. Notredame, Bioinformatics for Dummies. Wiley, 2003. ISBN 0-7645-1696-5 • Cristianini, N • Durbin, R., S. Eddy, A. Krogh and G. Mitchison, Biological sequence analysis. Cambridge University Press, 1998. ISBN 0-521-62971-3 • Gilbert, D • Keedwell, E., Intelligent Bioinformatics: The Application of Artificial Intelligence Techniques to Bioinformatics Problems. Wiley, 2005. ISBN 0-470-02175-6 • Kohane, et al • Lund, O. et al. Immunological Bioinformatics. The MIT Press, 2005. ISBN 0-262-12280-4 • Michael S • Pevzner, Pavel A. Computational Molecular Biology: An Algorithmic Approach The MIT Press, 2000. ISBN 0-262-16197-4 • Soinov, L • Tisdall, James. "Beginning Perl for Bioinformatics" O 'Reilly, 2001. ISBN 0-596-00080-4 • Dedicated issue of Philosophical Transactions B on Bioinformatics freely available • Catalyzing Inquiry at the Interface of Computing and Biology (2005) CSTB report • Calculating the Secrets of Life: Contributions of the Mathematical Sciences and computing to Molecular Biology (1995)