Immunogenetic Management Software: A new tool for visualization and analysis of complex immunogenetic datasets

Z. P. Johnson, R. D. Eady, S. F. Ahmad, S. Agravat, T. Morris, J. Else, S. M. Lank, R. W. Wiseman, D. H. O'connor, Cecilia Penedo, C. P. Larsen, L. S. Kean

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

Here we describe the Immunogenetic Management Software (IMS) system, a novel web-based application that permits multiplexed analysis of complex immunogenetic traits that are necessary for the accurate planning and execution of experiments involving large animal models, including nonhuman primates. IMS is capable of housing complex pedigree relationships, microsatellite-based MHC typing data, as well as MHC pyrosequencing expression analysis of class I alleles. It includes a novel, automated MHC haplotype naming algorithm and has accomplished an innovative visualization protocol that allows users to view multiple familial and MHC haplotype relationships through a single, interactive graphical interface. Detailed DNA and RNA-based data can also be queried and analyzed in a highly accessible fashion, and flexible search capabilities allow experimental choices to be made based on multiple, individualized and expandable immunogenetic factors. This web application is implemented in Java, MySQL, Tomcat, and Apache, with supported browsers including Internet Explorer and Firefox on Windows and Safari on Mac OS. The software is freely available for distribution to noncommercial users by contacting Leslie. kean@emory.edu. A demonstration site for the software is available at http://typing.emory.edu/ typing-demo, user name: imsdemo7@gmail.com and password: imsdemo.

Original languageEnglish (US)
Pages (from-to)329-336
Number of pages8
JournalImmunogenetics
Volume64
Issue number4
DOIs
StatePublished - Apr 1 2012

Keywords

  • Genetics
  • MHC
  • Next-generation sequencing
  • Visualization
  • Web services

ASJC Scopus subject areas

  • Immunology
  • Genetics

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    Johnson, Z. P., Eady, R. D., Ahmad, S. F., Agravat, S., Morris, T., Else, J., Lank, S. M., Wiseman, R. W., O'connor, D. H., Penedo, C., Larsen, C. P., & Kean, L. S. (2012). Immunogenetic Management Software: A new tool for visualization and analysis of complex immunogenetic datasets. Immunogenetics, 64(4), 329-336. https://doi.org/10.1007/s00251-011-0587-8