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Introduction to bioinformatics

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  • David Fenstermacher

Abstract

Bioinformatics is a multifaceted discipline combining many scientific fields including computational biology, statistics, mathematics, molecular biology, and genetics. Bioinformatics enables biomedical investigators to exploit existing and emerging computational technologies to seamlessly store, mine, retrieve, and analyze data from genomics and proteomics technologies. This is achieved by creating unified data models, standardizing data interfaces, developing structured vocabularies, generating new data visualization methods, and capturing detailed metadata that describes various aspects of the experimental design and analysis methods. Already there are a number of related undertakings that are dividing the field into more specialized groups. Clinical Bioinformatics and Biomedical Informatics are emerging as transitional fields to promote the utilization of genomics and proteomics data combined with medical history and demographic data towards personalized medicine, molecular diagnostics, pharmacogenomics and predicting outcomes of therapeutic interventions. The field of bioinformatics will continue to evolve through the incorporation of diverse technologies and methodologies that draw experts from disparate fields to create the latest computational and informational tools specifically design for the biomedical research enterprise.

Suggested Citation

  • David Fenstermacher, 2005. "Introduction to bioinformatics," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(5), pages 440-446, March.
    • Handle: RePEc:bla:jamist:v:56:y:2005:i:5:p:440-446
    DOI: 10.1002/asi.20133
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    Cited by:

    1. Senator Jeong & Hong-Gee Kim, 2010. "Intellectual structure of biomedical informatics reflected in scholarly events," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 541-551, November.
    2. Ai-Yuan Liu & Shi-Ying Li & Yu-Qing Guo, 2014. "Characteristics of research on bioinformatics in China assessed with Science Citation Index Expanded," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 371-391, May.
    3. Mohohlo Molatudi & Neo Molotja & Anastassios Pouris, 2009. "A bibliometric study of bioinformatics research in South Africa," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 47-59, October.

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