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  1. MGIP (View Publication)
    Resource Category : Webserver -> DNA -> Mapping and Assembly

    Brief Description : The Meningococcus Genome Informatics Platform (MGIP) is a suite of computational tools for the analysis of multilocus sequence typing data. Input DNA sequence files are analyzed to provide allele calls, and to characterize the specific sequence type and clonal complex of the Neisseria meningitidis strain.

    Institute/s :
    School of Biology
    Georgia Institute of Technology
    Atlanta, GA 30332, USA.

    Country : United States


    Authors/Contributors : Katz LS, Bolen CR, Harcourt BH, Schmink S, Wang X, Kislyuk A, Taylor RT, Mayer LW, Jordan IK.
    Contact Email : lskatz@gatech.edu; lwml@cdc.gov
    Year : 2009



  2. MGIP (View Publication)
    Resource Category : Webserver -> Human Genome -> Health and Disease

    Brief Description : The Meningococcus Genome Informatics Platform (MGIP) is a suite of computational tools for the analysis of multilocus sequence typing data. Input DNA sequence files are analyzed to provide allele calls, and to characterize the specific sequence type and clonal complex of the Neisseria meningitidis strain.

    Institute/s :
    School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA
    Address of Institute/s :
    School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA
    Country : United States


    Authors/Contributors : Katz LS, Bolen CR, Harcourt BH, Schmink S, Wang X, Kislyuk A, Taylor RT, Mayer LW, Jordan IK.
    Contact Email : lskatz@gatech.edu; lwml@cdc.gov
    Year : 2009



  3. MGIP (View Publication)
    Resource Category : Webserver -> Model Organisms -> Microbes

    Brief Description : The Meningococcus Genome Informatics Platform (MGIP) is a suite of computational tools for the analysis of multilocus sequence typing data. Input DNA sequence files are analyzed to provide allele calls, and to characterize the specific sequence type and clonal complex of the Neisseria meningitidis strain.

    Institute/s :
    School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA
    Address of Institute/s :
    School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA
    Country : United States


    Authors/Contributors : Katz LS, Bolen CR, Harcourt BH, Schmink S, Wang X, Kislyuk A, Taylor RT, Mayer LW, Jordan IK.
    Contact Email : lskatz@gatech.edu; lwml@cdc.gov
    Year : 2009



  4. MGIP (View Publication)
    Resource Category : Webserver -> Sequence Comparison -> Comparative Genomics

    Brief Description : The Meningococcus Genome Informatics Platform (MGIP) is a suite of computational tools for the analysis of multilocus sequence typing data. Input DNA sequence files are analyzed to provide allele calls, and to characterize the specific sequence type and clonal complex of the Neisseria meningitidis strain.

    Institute/s :
    School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA
    Address of Institute/s :
    School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA
    Country : United States


    Authors/Contributors : Katz LS, Bolen CR, Harcourt BH, Schmink S, Wang X, Kislyuk A, Taylor RT, Mayer LW, Jordan IK.
    Contact Email : lskatz@gatech.edu; lwml@cdc.gov
    Year : 2009



  5. MGIP (View Publication)
    Resource Category : Webserver -> Sequence Comparison -> Pairwise Sequence Alignments

    Brief Description : The Meningococcus Genome Informatics Platform (MGIP) is a suite of computational tools for the analysis of multilocus sequence typing data. Input DNA sequence files are analyzed to provide allele calls, and to characterize the specific sequence type and clonal complex of the Neisseria meningitidis strain.

    Institute/s :
    School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA
    Address of Institute/s :
    School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA
    Country : United States


    Authors/Contributors : Katz LS, Bolen CR, Harcourt BH, Schmink S, Wang X, Kislyuk A, Taylor RT, Mayer LW, Jordan IK.
    Contact Email : lskatz@gatech.edu; lwml@cdc.gov
    Year : 2009