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bioinformatics

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bioinformatics

[‚bī·ō‚in·fər′mad·iks]
(computer science)
The use of computers to study biological systems.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.

bioinformatics

(application)
The field of science concerning the application of computer science and information technology to biology; using computers to handle biological information, especially computational molecular biology.
This article is provided by FOLDOC - Free Online Dictionary of Computing (foldoc.org)

bioinformatics

Using computers in biological research to analyze or predict the composition of molecules (nucleic acids, proteins, etc.) and model biologic systems. Bioinformatics is most prominent in the Human Genome Project, which has recorded the three billion chemical base pairs that make up the human DNA system. See biotechnology and Human Genome Project.
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References in periodicals archive
Various factors like strong traction from research institutes and pharmaceuticals are expected to promote the global bioinformatics market.
Future prospects and current trends of the global bioinformatics market by the end of forecast period (2018-2025)
Earlier this summer, LBRN and LSU jointly hosted a 3-month pilot bioinformatics training program offering hands-on learning utilizing Pine Biotech's OmicsLogic.
In addition, an email was sent to a list of Yale affiliates (over 1,000 members) who are interested in end-user bioinformatics resources and tools.
A simple bioinformatics technique is a blend of IT and biotechnological techniques.
Bioinformatics is the application of computer science and information technology to the field of biology and medicine.
1- Be a good biologist: Being a bioinformatics specialist, you must know about a living system; it may be both on cellular and molecular level.
Parveen Shah said that bioinformatics as described by our scientists, is an interdisciplinary field that develops methods and software tools for understanding biological data.
The present study is aimed at ascertaining the information needs of Bioinformatics Users.
Analyses of high throughput genotyping and whole genome human sequencing data was also presented with overall aim of promoting the use of bioinformatics for health and research in the life sciences.
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