HiTSEE: A visualization tool for hit selection and analysis in high-throughput screening experiments

Enrico Bertini, Hendrik Strobelt, Joachim Braun, Oliver Deussen, Ulrich Groth, Thomas U. Mayer, Dorit Merhof

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We present HiTSEE (High-Throughput Screening Exploration Environment) a visualization tool for the analysis of large chemical screens for the analysis of biochemical processes. The tool supports the analysis of structure-activity relationships (SAR analysis) and, through a flexible interaction mechanism, the navigation of large chemical spaces. Our approach based on the projection of one or few molecules of interest and the expansion around their neighborhood allows for the exploration of large chemical libraries without the need to create an all encompassing overview of the whole library. We describe the requirements we collected during our collaboration with biologists and chemists, the design rationale behind the tool, and two case studies.

    Original languageEnglish (US)
    Title of host publicationIEEE Symposium on Biological Data Visualization 2011, BioVis 2011 - Proceedings
    Pages95-102
    Number of pages8
    DOIs
    StatePublished - 2011
    Event1st IEEE Symposium on Biological Data Visualization, BioVis 2011 - Providence, RI, United States
    Duration: Oct 23 2011Oct 24 2011

    Publication series

    NameIEEE Symposium on Biological Data Visualization 2011, BioVis 2011 - Proceedings

    Other

    Other1st IEEE Symposium on Biological Data Visualization, BioVis 2011
    CountryUnited States
    CityProvidence, RI
    Period10/23/1110/24/11

    ASJC Scopus subject areas

    • Biotechnology
    • Computer Vision and Pattern Recognition
    • Information Systems

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  • Cite this

    Bertini, E., Strobelt, H., Braun, J., Deussen, O., Groth, U., Mayer, T. U., & Merhof, D. (2011). HiTSEE: A visualization tool for hit selection and analysis in high-throughput screening experiments. In IEEE Symposium on Biological Data Visualization 2011, BioVis 2011 - Proceedings (pp. 95-102). [6094053] (IEEE Symposium on Biological Data Visualization 2011, BioVis 2011 - Proceedings). https://doi.org/10.1109/BioVis.2011.6094053