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GenePath: a System for Automated Construction of Genetic Networks from Mutant Data

Blaz Zupan and Janez Demšar and Ivan Bratko and Peter Juvan and John Halter and Adam Kuspa and Gad Shaulsky (2003) GenePath: a System for Automated Construction of Genetic Networks from Mutant Data. Bioinformatics, 19 (3). p. 383.

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    Motivation: Genetic pathways are often used in the analysis of biological phenomena. In classical genetics, they are constructed manually from experimental data on mutants. The field lacks formalism to guide such analysis, and accounting for all the data becomes complicated when large amounts of data are considered. Results: We have developed GenePath, an intelligent assistant that mimics expert geneticists in the analysis of genetic data. GenePath employs expert-defined patterns to uncover gene relations from the data, and uses these relations as constraints that guide the search for a plausible genetic network. GenePath provides formalism to genetic data analysis, facilitates the consideration of all the available data in a consistent and systematic manner, and aids in the examination of the large number of possible consequences of a planned experiment. It also provides an explanation mechanism that traces back every finding to the pertinent data. GenePath was successfully tested on several genetic problems. Availability: GenePath can be accessed at http://genepath.org. Supplementary information: Supplementary material is available at http://genepath.org/bi-supp.

    Item Type: Article
    Keywords: genetic networks, genetic pathways, mutant-based data analysis, genetic data analysis
    Language of Content: English
    Related URLs:
    URLURL Type
    http://bioinformatics.oxfordjournals.org/cgi/content/abstract/19/3/383Alternative location
    http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(id=3415124)Alternative location
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Divisions: Faculty of Computer and Information Science > Artificial Intelligence Laboratory
    Item ID: 213
    Date Deposited: 25 May 2006
    Last Modified: 06 Dec 2013 13:15
    URI: http://eprints.fri.uni-lj.si/id/eprint/213

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