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Principles and Analysis of Biological Networks: Biological Pathways and Network Motifs

Principles and Analysis of Biological Networks: Biological Pathways and Network Motifs

Manika Sehgal, TirathaRaj Singh
Copyright: © 2020 |Pages: 14
ISBN13: 9781799812043|ISBN10: 1799812049|EISBN13: 9781799812050
DOI: 10.4018/978-1-7998-1204-3.ch030
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MLA

Sehgal, Manika, and TirathaRaj Singh. "Principles and Analysis of Biological Networks: Biological Pathways and Network Motifs." Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 551-564. https://doi.org/10.4018/978-1-7998-1204-3.ch030

APA

Sehgal, M. & Singh, T. (2020). Principles and Analysis of Biological Networks: Biological Pathways and Network Motifs. In I. Management Association (Ed.), Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications (pp. 551-564). IGI Global. https://doi.org/10.4018/978-1-7998-1204-3.ch030

Chicago

Sehgal, Manika, and TirathaRaj Singh. "Principles and Analysis of Biological Networks: Biological Pathways and Network Motifs." In Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 551-564. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1204-3.ch030

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Abstract

The biological network complexity is growing enormously and in order to reveal confined properties of these intricate networks, detection of crucial network components may assist in gaining effortless perceptive on the underlying biological processes. Analyzing complex biological pathways for their disease association is still a drawn-out process and requires an integrative approach for comprehensive examination of proteins and interactions to identify candidate markers underlying major malignancies and genetic disorders. There is a need for an amalgamated approach to annotate all the sub-components and their associated interactions in a biological system. It is anticipated that analysis of biological pathways would serve as a valuable accompaniment for analyzing biomarkers in disease pathways and will also contribute scientific knowledge towards their better understanding.

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