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Knowledge-Driven, Data-Assisted Integrative Pathway Analytics

Knowledge-Driven, Data-Assisted Integrative Pathway Analytics

Padmalatha S. Reddy, Stuart Murray, Wei Liu
Copyright: © 2011 |Pages: 23
ISBN13: 9781609604912|ISBN10: 1609604911|EISBN13: 9781609604929
DOI: 10.4018/978-1-60960-491-2.ch010
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MLA

Reddy, Padmalatha S., et al. "Knowledge-Driven, Data-Assisted Integrative Pathway Analytics." Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications, edited by Limin Angela Liu, et al., IGI Global, 2011, pp. 225-247. https://doi.org/10.4018/978-1-60960-491-2.ch010

APA

Reddy, P. S., Murray, S., & Liu, W. (2011). Knowledge-Driven, Data-Assisted Integrative Pathway Analytics. In L. Liu, D. Wei, Y. Li, & H. Lei (Eds.), Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications (pp. 225-247). IGI Global. https://doi.org/10.4018/978-1-60960-491-2.ch010

Chicago

Reddy, Padmalatha S., Stuart Murray, and Wei Liu. "Knowledge-Driven, Data-Assisted Integrative Pathway Analytics." In Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications, edited by Limin Angela Liu, et al., 225-247. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-491-2.ch010

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Abstract

Target and biomarker selection in drug discovery relies extensively on the use of various genomics platforms. These technologies generate large amounts of data that can be used to gain novel insights in biology. There is a strong need to mine these information-rich datasets in an effective and efficient manner. Pathway and network based approaches have become an increasingly important methodology to mine bioinformatics datasets derived from ‘omics’ technologies. These approaches also find use in exploring the unknown biology of a disease or functional process. This chapter provides an overview of pathway databases and network tools, network architecture, text mining and existing methods used in knowledge-driven data analysis. It shows examples of how these databases and tools can be used integratively to apply existing knowledge and network-based approach in data analytics.

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