VisANT is a three-tier enterprise system designed specifically for the integrative visual data-mining of multi-scale Bio-Network/Pathways. It features:
versatile network construction with integrated disease and therapy hierarchies, disease-gene and therapy-drug associations, and drug-target interactions.
A) Meta-network of diseases and therapies. Expanded metanodes of diseases are represented using convex polygons. Drugs are queried for their targets in three diseases (red lines). The rest of the networks (B-K) are all derived from this meta-network. B) Disease network where gray edges indicate that there is shared genes associated with two diseases. C) Therapy network similar to disease network. D) Disease-therapy network. E) Disease-gene network. F) Therapy-drug network. G) Co-disease gene network. H) Co-therapy drug network. I) Disease-gene-drug network. J) Therapy-drug-gene network. K) Disease-gene-drug-therapy network.
Fast batch loading of large interaction data set through either Interaction Statistics page or Methods Table using the menu View/Methods Table.
GO Term Enrichment Analysis (GOTEA) to find the over-represented GO terms in network modules. The function is available under the Metagraph menu and requires genes in the modules being annotated. A quick example can be tried here. An example with the step-by-step macros is illustrated here to predict the function of KEGG cell cycle pathway using both hyper-geometry test and GOTEA. The macro file can be downloaded here. each step is explained in detail in the comments.
Batch mode to automate batch processes in the background and to handle large-scale networks with millions nodes and edges. A test case has been carried out with 15,447 nodes and 1,722,708 edges as shown below, more information can be found here
Integrative Data-Mining: 405k+ functional associations (Experimental:98924, Computational:307017) for 103 species, name normalization for Yeast, Fly, Homo sapiens etc., more detail...
Adjustable high performance, supports large-network, test has been performed with 226k+ edges and nodes
Expression overlay of the network/pathway
Integrated expression data-based recommendation system for gene in the same pathway/complex/network
Exploratory navigation of KEGG pathways.
Support of weighted network using edge thickness, or edge color , or both.