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Bioinformatics: Applications and Implications

Bioinformatics: Applications and Implications

Kijpokin Kasemsap
Copyright: © 2018 |Pages: 22
ISBN13: 9781522526070|ISBN10: 1522526072|EISBN13: 9781522526087
DOI: 10.4018/978-1-5225-2607-0.ch002
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MLA

Kasemsap, Kijpokin. "Bioinformatics: Applications and Implications." Applying Big Data Analytics in Bioinformatics and Medicine, edited by Miltiadis D. Lytras and Paraskevi Papadopoulou, IGI Global, 2018, pp. 26-47. https://doi.org/10.4018/978-1-5225-2607-0.ch002

APA

Kasemsap, K. (2018). Bioinformatics: Applications and Implications. In M. Lytras & P. Papadopoulou (Eds.), Applying Big Data Analytics in Bioinformatics and Medicine (pp. 26-47). IGI Global. https://doi.org/10.4018/978-1-5225-2607-0.ch002

Chicago

Kasemsap, Kijpokin. "Bioinformatics: Applications and Implications." In Applying Big Data Analytics in Bioinformatics and Medicine, edited by Miltiadis D. Lytras and Paraskevi Papadopoulou, 26-47. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2607-0.ch002

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Abstract

This chapter describes the overview of bioinformatics; bioinformatics, data mining, and data visualization; bioinformatics and secretome analysis; bioinformatics, mass spectrometry, and chemical cross-linking reagents; bioinformatics and Software Product Line (SPL); bioinformatics and protein kinase; bioinformatics and MicroRNAs (miRNAs); and clinical bioinformatics and cancer. Bioinformatics is the application of computer technology to the management and analysis of biological data. Bioinformatics is an interdisciplinary research area that is the interface between biology and computer science. The primary goal of bioinformatics is to reveal the wealth of biological information hidden in the large amounts of data and obtain a clearer insight into the fundamental biology of organisms. Bioinformatics entails the creation and advancement of databases, algorithms, computational and statistical techniques, and theory to solve the formal and practical problems arising from the management and analysis of biological data.

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