Literature DB >> 17196296

DHLAS: A web-based information system for statistical genetic analysis of HLA population data.

P Thriskos1, E Zintzaras, A Germenis.   

Abstract

DHLAS (database HLA system) is a user-friendly, web-based information system for the analysis of human leukocyte antigens (HLA) data from population studies. DHLAS has been developed using JAVA and the R system, it runs on a Java Virtual Machine and its user-interface is web-based powered by the servlet engine TOMCAT. It utilizes STRUTS, a Model-View-Controller framework and uses several GNU packages to perform several of its tasks. The database engine it relies upon for fast access is MySQL, but others can be used a well. The system estimates metrics, performs statistical testing and produces graphs required for HLA population studies: (i) Hardy-Weinberg equilibrium (calculated using both asymptotic and exact tests), (ii) genetics distances (Euclidian or Nei), (iii) phylogenetic trees using the unweighted pair group method with averages and neigbor-joining method, (iv) linkage disequilibrium (pairwise and overall, including variance estimations), (v) haplotype frequencies (estimate using the expectation-maximization algorithm) and (vi) discriminant analysis. The main merit of DHLAS is the incorporation of a database, thus, the data can be stored and manipulated along with integrated genetic data analysis procedures. In addition, it has an open architecture allowing the inclusion of other functions and procedures.

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Year:  2006        PMID: 17196296     DOI: 10.1016/j.cmpb.2006.11.005

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

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Journal:  J Med Syst       Date:  2010-02       Impact factor: 4.460

2.  WebBio, a web-based management and analysis system for patient data of biological products in hospital.

Authors:  Ying-Hao Lu; Chen-Chun Kuo; Yaw-Bin Huang
Journal:  J Med Syst       Date:  2009-11-24       Impact factor: 4.460

3.  Statistical resolution of ambiguous HLA typing data.

Authors:  Jennifer Listgarten; Zabrina Brumme; Carl Kadie; Gao Xiaojiang; Bruce Walker; Mary Carrington; Philip Goulder; David Heckerman
Journal:  PLoS Comput Biol       Date:  2008-02-29       Impact factor: 4.475

  3 in total

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