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Pathway Mapping Tools for Analysis of High Content Data

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High Content Screening

Part of the book series: Methods in Molecular Biology ((MIMB,volume 356))

Abstract

The complexity of human biology requires a systems approach that uses computational approaches to integrate different data types. Systems biology encompasses the complete biological system of metabolic and signaling pathways, which can be assessed by measuring global gene expression, protein content, metabolic profiles, and individual genetic, clinical, and phenotypic data. High content screening assays can also be used to generate systems biology knowledge. In this review, we will summarize the pathway databases and describe biological network tools used predominantly with this genomics, proteomics, and metabolomics data but which are equally as applicable for high content screening data analysis. We describe in detail the integrated data-mining tools applicable to building biological networks developed by GeneGo, namely, MetaCore™ and MetaDrug.

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Authors and Affiliations

  1. GeneGo, Jerkintown, PA

    Sean Ekins

  2. Department of Pharmaceutical Sciences, School of Pharmacy, College Park, MD

    Sean Ekins

  3. GeneGo, St. Joseph, MI

    Yuri Nikolsky, Andrej Bugrim, Eugene Kirillov & Tatiana Nikolskaya

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  1. Sean Ekins
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  2. Yuri Nikolsky
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  3. Andrej Bugrim
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  4. Eugene Kirillov
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  5. Tatiana Nikolskaya
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Editors and Affiliations

  1. Cellumen, Inc., Pittsburgh, PA

    D. Lansing Taylor  & Kenneth A. Giuliano  & 

  2. Cellomics, Inc., Pittsburgh, PA

    Jeffrey R. Haskins

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Ekins, S., Nikolsky, Y., Bugrim, A., Kirillov, E., Nikolskaya, T. (2007). Pathway Mapping Tools for Analysis of High Content Data. In: Taylor, D.L., Haskins, J.R., Giuliano, K.A. (eds) High Content Screening. Methods in Molecular Biology, vol 356. Humana Press. https://doi.org/10.1385/1-59745-217-3:319

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  • DOI: https://doi.org/10.1385/1-59745-217-3:319

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-58829-731-0

  • Online ISBN: 978-1-59745-217-5

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