title: Bayesian Network Webserver: a comprehensive tool for biological network modeling.
abstract: CONCLUSIONS
  The Bayesian Network Webserver (BNW) is a platform for comprehensive network modeling of systems genetics and other biological datasets. It allows users to quickly and seamlessly upload a dataset, learn the structure of the network model that best explains the data and use the model to understand relationships between network variables. Many datasets, including those used to create genetic network models, contain both discrete (e.g. genotype) and continuous (e.g. gene expression traits) variables, and BNW allows for modeling hybrid datasets. Users of BNW can incorporate prior knowledge during structure learning through an easy-to-use structural constraint interface. After structure learning, users are immediately presented with an interactive network model, which can be used to make testable hypotheses about network relationships.
  
  
  METHODS
  BNW, including a downloadable structure learning package, is available at http://compbio.uthsc.edu/BNW. (The BNW interface for adding structural constraints uses HTML5 features that are not supported by current version of Internet Explorer. We suggest using other browsers (e.g. Google Chrome or Mozilla Firefox) when accessing BNW).
  
  
  BACKGROUND
  ycui2@uthsc.edu.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors: Department of Microbiology, Immunology and Biochemistry and Center for Integrative and Translational Genomics, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
authors: Jesse D
authors: JD
authors: Ziebarth
authors: Anindya
authors: A
authors: Bhattacharya
authors: Yan
authors: Y
authors: Cui
mesh_terms: D001499:Bayes Theorem; D053263:Gene Regulatory Networks; D020407:Internet; D008954:Models, Biological; D012984:Software; D049490:Systems Biology / Q000379:methods