Speaker: Professor Richard Head, Director,
GTAC@MGI, McDonnell Genome Institute, Washington University
(alternative link: tinyurl.com/CompBio-v2)
Various ‘omics technologies produce large data sets that can be difficult to sift through in search of insights. In 2018 we invented the CompBio platform was to facilitate true multi-omic analysis. Compbio is based on a novel approach, known as Contextual Language Processing (CLP), that employs the entirety of PubMed abstracts and millions of full-text papers. CLP is used to create “knowledge maps” out of ALL unique terms found in the biomedical corpus. With only light training, Compbio allows the user to input their own data which is then contextualized within the knowledge maps. WashU researchers have use these insights to publish in several high-end journals.
Over the last two years, we have developed a far more powerful version of the platform based on artificial intelligence and machine learning which allows generalized detection of patterns of concepts within biomedical literature. One of the key aspects of this new suite of tools is the ability to compare human disease profiles with animal models and drug profiles. Professor Head, chief inventor, will discuss the conceptual design, demonstrate features and usability, distinguish Compbio from traditional pathway tools, and review both major publications and the large-scale human disease profiles the suite includes.