Finding relevant information for identifying interesting research targets may have become a hassle, limiting your progress.
BioGraph provides a web service for discovery of biomedical relations and exploring functional hypotheses. Learn more.
Search biomedical concepts and explore related entities ...
Or, find relevant functional paths between biomedical entities ...
For example, try olfactory receptor activity • JUN gene • protein serine/threonine kinase activity • GPCR, rhodopsin-like superfamily • CREBBP gene
For example, try Short rib-polydactyly syndrome - NEK1 gene (source: AJHG, Jan 2011)
Organize your sets of entities, such as lists of research contexts and targets. Or use more complex sets, such as expression studies or variant sets, as the basis of your scientific discovery.
Organize sets of entities in meaningful collections, e.g., to denote control and treatment groups of expression studies, control and patient variant sets, to serve as the basis for comparisons.
Compare collections of control versus treatment or patient groups with our graph mapping and comparion tools, to discover meaningful differences between your experimental groups.
If you qualify as an Academic User, UA and VIB grant you a royalty-free, non-exclusive and non-transferable limited license (with no right to sub-license) to use the BioGraph software for your non-commercial research use only. By using this service, you must qualify as an Academic User and accept the Terms and Conditions.
We are looking forward to your comments and use cases. Let us know if you need help implementing BioGraph in your own pipelines or whether you are interested in deploying BioGraph as a technology at your research department or company.
BioGraph