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

Comput Methods Programs Biomed

Department of Biomathematics, University of Thessaly School of Medicine, Papakyriazi 22, Larissa 41222, Greece.

Published: March 2007

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.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.cmpb.2006.11.005DOI Listing

Publication Analysis

Top Keywords

web-based system
8
hla population
8
population studies
8
system
5
dhlas
4
dhlas web-based
4
system statistical
4
statistical genetic
4
analysis
4
genetic analysis
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!