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Visualization of Activity Landscapes and Chemogenomics Data

Authors

  • Ye Hu,

    1. Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität Bonn, Dahlmannstr. 2, D-53113 Bonn, Germany tel: +49-228-2699-306; fax: +49-228-2699-341
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  • Dagmar Stumpfe,

    1. Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität Bonn, Dahlmannstr. 2, D-53113 Bonn, Germany tel: +49-228-2699-306; fax: +49-228-2699-341
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  • Jürgen Bajorath

    Corresponding author
    1. Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität Bonn, Dahlmannstr. 2, D-53113 Bonn, Germany tel: +49-228-2699-306; fax: +49-228-2699-341
    • Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität Bonn, Dahlmannstr. 2, D-53113 Bonn, Germany tel: +49-228-2699-306; fax: +49-228-2699-341

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Abstract

Chemogenomics data are often difficult to analyze, given their large amounts, heterogeneity, and multi-dimensional nature. Network representations and other graphical methods are utilized to aid in data analysis. This review covers several recently introduced visualization methods for multi- or high-dimensional compound activity data that are designed for specific applications.

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