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This wiki contains detailed information about the installation and development of KnetMiner, and how to set up a knowledge network using an Ondex produced knowledge-network graph.
Brief overview
KnetMiner effectively enables the ranking of genes and visualisation of integrated biological data within an easy-to use, user-friendly, web-page environment, in a graph-format. It utilises an Ondex-knet-builder derived knowledge-network graph, in an OXL format.
These knowledge-networks are created in Ondex-knet-builder by integrating different biological data, defining all the relevant relationships & concepts present within each data-set.
Using KnetMiner, users can enter their search terms into the web pages search engine. The KnetMiner client will then send the search-terms to the KnetMiner Java server, which searches the OXL for any concepts/nodes relating to the search terms. The search results are then aggregated and scored using a Lucene search. The server then sends the results back to the client, after which the client parses and represents them visually to the user.