How knowledge graphs will transform drug discovery

What if we could bring all the knowledge, data, insight, and prior decision-making of drug discovery together and use it to accelerate the discovery of new drugs? What if we could encode the millions of known relationships between potential new (or old) drugs, protein targets, genomics, biological processes, and disease mechanisms, and then use all this together to get new insights into disease and treatments?

An EOC in your pocket: turning your phone into a state of the art Emergency Operations Center

There are now a plethora of apps and services that mean that if you do have internet service, you can to an amazing degree replicate the functions of an Emergency Operations Center (EOC) on the smartphone in your pocket. In this article we will describe a set of apps that will enable you to achieve the primary functions of the EOC: meeting & sharing space, phone and radio communications, situational awareness, and access to plans, documents and maps.

DSCI D590 Data Science in Practice

DS590 Data Science in Practice is a graduate course designed to help students gain critical, practical skills in applying data science to real world problems. Students will work in teams of 3-5 to tackle a real-world problem defined by a project sponsor. Project sponsors can be academics or industry practitioners. Students work with the project sponsor to understand the problem domain, identify where their data science skills can be applied, and to design, implement and test a solution.

Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data

We have created a single repository called Chem2Bio2RDF by aggregating data from multiple chemogenomics repositories that is cross-linked into Bio2RDF and LODD. We have also created a linked-path generation tool to facilitate SPARQL query generation, and have created extended SPARQL functions to address specific chemical/biological search needs. We demonstrate the utility of Chem2Bio2RDF in investigating polypharmacology, identification of potential multiple pathway inhibitors, and the association of pathways with adverse drug reactions.