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  1. MAGIIC-PRO (View Publication)
    Resource Category : Webserver -> Protein -> Domains and Motifs

    Brief Description : MAGIIC-PRO is a tool for detecting patterns in protein sequences. MAGIIC-PRO takes a protein sequence as input and helps users prepare training data for the pattern mining experiments by using Swiss-Prot annotations or by PSI-BLAST. Multiple resources for analysis of the detected patterns are also presented.

    Institute/s :
    Department of Computer Science and Engineering, Yuan Ze University Chung-Li, 320, Taiwan, Republic Of China.
    Address of Institute/s :
    Department of Computer Science and Engineering, Yuan Ze University Chung-Li, 320, Taiwan, Republic Of China.
    Country : China


    Authors/Contributors : Hsu CM, Chen CY, Liu BJ.
    Contact Email : cychen@saturn.yzu.edu.tw
    Year : 2006



  2. MAGIIC-PRO (View Publication)
    Resource Category : Webserver -> Protein -> Sequence Features

    Brief Description : MAGIIC-PRO is a tool for detecting patterns in protein sequences. MAGIIC-PRO takes a protein sequence as input and helps users prepare training data for the pattern mining experiments by using Swiss-Prot annotations or by PSI-BLAST. Multiple resources for analysis of the detected patterns are also presented.

    Institute/s :
    Department of Computer Science and Engineering, Yuan Ze University Chung-Li, 320, Taiwan, Republic Of China.
    Address of Institute/s :
    Department of Computer Science and Engineering, Yuan Ze University Chung-Li, 320, Taiwan, Republic Of China.
    Country : China


    Authors/Contributors : Hsu CM, Chen CY, Liu BJ.
    Contact Email : cychen@saturn.yzu.edu.tw
    Year : 2006



  3. MAGIIC-PRO (View Publication)
    Resource Category : Webserver -> Sequence Comparison -> Multiple Sequence Alignments

    Brief Description : MAGIIC-PRO is a tool for detecting patterns in protein sequences. MAGIIC-PRO takes a protein sequence as input and helps users prepare training data for the pattern mining experiments by using Swiss-Prot annotations or by PSI-BLAST. Multiple resources for analysis of the detected patterns are also presented.

    Institute/s :
    Department of Computer Science and Engineering, Yuan Ze University Chung-Li, 320, Taiwan, Republic Of China.
    Address of Institute/s :
    Department of Computer Science and Engineering, Yuan Ze University Chung-Li, 320, Taiwan, Republic Of China.
    Country : China


    Authors/Contributors : Hsu CM, Chen CY, Liu BJ.
    Contact Email : cychen@saturn.yzu.edu.tw
    Year : 2006