Using pathway and network analyses, researchers identified overlapping genes and biological processes behind smoking and schizophrenia, including new candidate genes.
The Danish informatics firm is exploring analytical tools for its InWeb_InBioMap network, which currently contains more than 700,000 protein-protein interactions.
The work offers a proof of concept for the notion that dynamic models of signaling could serve as more effective biomarkers than discrete molecular markers.
DSysMap combines mutation information with protein interaction data to provide a clearer picture of functional changes associated with the development of complex diseases.
Sarah Lawrence College's Laura Hercher warns in a New York Times op-ed that more people are going to need help figuring out what their consumer genetic testing results mean.
