Reading, Reasoning, and Reporting define the core functions of a 3R system. The Hanalyzer (short for high-throughput analyzer) system integrates data from gene centric databases and biomedical language processing (“reading”), with symbolic and quantitative network inference techniques (“reasoning”) and visual approaches of presenting and dynamically exploring complex networks of information (“reporting”).
"The goal of a 3R system is to assist biologists in
forming explanations of the phenomena in
and to generate significant hypotheses that can influence the design of future experiments." [Leach et al. 2009]
The Hanalyzer system facilites this goal using an approach based on two weighted graphs, the "knowledge network" – representing existing knowledge of genes and gene products, and the "data network" – representing a particular data set produced by a high-throughput experiment.
If you use Hanalyzer to support academic research, please cite the following paper as appropriate: