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  1. ProCKSI (View Publication)
    Resource Category : Webserver -> Protein -> 3-D Structure Comparison

    Brief Description : ProCKSi (Protein Structure Comparison, Knowledge, Similarity and Information) is a multi-layer protein comparison meta-server that computes structure similarities using various information theory measures. ProCKSI integrates various protein similarity measures through an easy to use interface that allows the comparison of multiple proteins simultaneously. Based on a diverse set of similarity measures, ProCKSI computes a consensus similarity profile for the entire protein set. All results can be clustered, visualised, analysed

    Institute/s :
    ASAP, School of Computer Science and IT, University of Nottingham, Nottingham, NG8 1BB, UK
    Address of Institute/s :
    ASAP, School of Computer Science and IT, University of Nottingham, Nottingham, NG8 1BB, UK
    Country : United Kingdom


    Authors/Contributors : Barthel D, Hirst JD, B?azewicz J, Burke EK, Krasnogor N.
    Contact Email : natalio.krasnogor@nottingham.ac.uk
    Year : 2007



  2. ProCKSI (View Publication)
    Resource Category : Webserver -> Protein -> 3-D Structure Retrieval, Viewing

    Brief Description : ProCKSi (Protein Structure Comparison, Knowledge, Similarity and Information) is a multi-layer protein comparison meta-server that computes structure similarities using various information theory measures. ProCKSI integrates various protein similarity measures through an easy to use interface that allows the comparison of multiple proteins simultaneously. Based on a diverse set of similarity measures, ProCKSI computes a consensus similarity profile for the entire protein set. All results can be clustered, visualised, analysed

    Institute/s :
    ASAP, School of Computer Science and IT, University of Nottingham, Nottingham, NG8 1BB, UK
    Address of Institute/s :
    ASAP, School of Computer Science and IT, University of Nottingham, Nottingham, NG8 1BB, UK
    Country : United Kingdom


    Authors/Contributors : Barthel D, Hirst JD, B?azewicz J, Burke EK, Krasnogor N.
    Contact Email : natalio.krasnogor@nottingham.ac.uk
    Year : 2007