Learn to use the VisANT resource, a multi-mode software platform used for visualization and analysis of interaction pathways. The VisANT application provides researchers with an easy to use graphical interface for integrating biomolecular interaction data. The metagraph structure allows multi-scale visualization of bio-networks and its integrative data-mining feature permits a large number of functional associations for 103 different species.
You will learn:
This tutorial is a part of the tutorial group Interaction resources. You might find the other tutorials in the group interesting:
Pathway Interaction Database: A resource of pathway and network data and displays
MINT: Molecular Interaction Database
Cytoscape: An open-source software platform used for visualization and analysis of molecular interaction and network data
BiologicalNetworks: Analyze and visualize molecular interaction networks
BioSystems: Database of Biological Systems
Reactome Legacy: Older version of the current Reactome knowledgebase of biological processes.
Reactome: Knowledgebase of biological processes
GeneMANIA: GeneMANIA: Fast Gene Function Predictions
GenMAPP: A freely available open source software application for visualizing microarray data in the context of biological pathways.
InterPro: A comprehensive protein signature resource
IntAct protein interaction database: IntAct is an open source database and analysis resource for protein interaction data
KEGG: KEGG, The Kyoto Encyclopedia of Genes and Genomes
Pathways and Interactions : Tools that are involved with protein interactions and pathway features. Some tools are primarily repositories and some offer analysis options.
Video Tip of the Week: Integrative Multi-species Prediction (IMP) Network Analysis Resource: A while back Mary saw the following tweet go by & collected it as a possible topic for one of our weekly tips: RT @moorejh: #bioinformatics #genomics RT @GreeneScientist Interactive and video tutorials...
Open source molecular modeling--finally?: My Bio SmartBrief newsletter today had a reference to a paper in a rather...um...obscure journal. Maybe it is just something I have missed over the years, but the Journal of the Royal Society Interface...
Recent BioMed Central research articles citing this resource
Huang Chunmei et al., Changes in axial length, central cornea thickness, and anterior chamber depth after rhegmatogenous retinal detachment repair Retina. BMC Ophthalmology (2016) doi:10.1186/s12886-016-0296-z
Chen Hsiao-Rong et al., A network based approach to drug repositioning identifies plausible candidates for breast cancer and prostate cancer Functional and structural genomics. BMC Medical Genomics (2016) doi:10.1186/s12920-016-0212-7
Zhang Zhaotian et al., Surgical outcomes of 23-gauge transconjunctival pars plana vitrectomy combined with lensectomy for glaucomatous eyes with extremely shallow anterior chamber and cataract Glaucoma. BMC Ophthalmology (2016) doi:10.1186/s12886-015-0179-8
Nim T Hieu et al., VISIONET: intuitive visualisation of overlapping transcription factor networks, with applications in cardiogenic gene discovery Transcriptome analysis. BMC Bioinformatics (2015) doi:10.1186/s12859-015-0578-0
Ursea Roxana et al., The role of conjunctival biopsy in the diagnosis of granulomatosis with polyangiitis. Journal of Ophthalmic Inflammation and Infection (2015) doi:10.1186/s12348-014-0033-9