Biomedical knowledge discovery server

Welcome to the BioGraph

Drowning in all the information?

Too many papers to read and too many databases to keep up with? Finding relevant information for identifying interesting research targets may have become a hassle, limiting your progress.

Automated knowledge discovery with BioGraph

BioGraph provides a web service for biomedical knowledge discovery. It's built on top of an integrated knowledge base of heterogeneous databases and adopts data mining techniques for the discovery of biomedical relations and their supporting functional hypotheses. Learn more.



    Graphical representation of the BioGraph integrated resource network

    Start your discovery here

    By using this service, you must qualify as an Academic User and accept the Terms and Conditions.


    Construct functional hypotheses

    With the following form, you can find functional trails that link two biomedical concepts.

    For example, verify some recent findings from the literature:

    AJHG, May 2011Human Mutations in NDE1 Cause Extreme Microcephaly with Lissencephaly
    NEJM, Jan 2011AIP mutation in pituitary adenomas in the 18th century and today.
    AJHG, Jan 2011NEK1 Mutations Cause Short Rib Polydactyly Type Majewski
    PLoS Genetics, Dec 2010A Role for ATF2 in Regulating MITF and Melanoma Development
    AJHG, Nov 2010A Dominant Mutation in the Gene Encoding the Erythroid Transcription Factor KLF1 Causes a Congenital Dyserythropoietic Anemia


    Search

    Search the BioGraph and explore related biomedical concepts.

    Random examples: CYP1A2 geneTRAF6 geneNucleic Acid BindingPathways in cancer - Homo sapiens (human)ABL1 gene


    Prioritize genes

    With the following form, you can prioritize genes in relation to a given concept.

    Concept

    Genes (provide official HUGO gene names, one on each line)