Speaker: Professor Richar
d Head\, Director\,
GTAC@MGI\, McDonnell Genome Institute\, Washington
University
Zoom link:
https://wustl-hipaa.zoom.us/j/928110266
28
(alternative link: tinyurl.com/CompBio-v2)
Abstract
:
Various ‘omics technologies produce large data sets that ca
n be difficult to sift through in search of insights. In 2018 we invented t
he 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 pa
pers. CLP is used to create “knowledge maps” out of ALL unique terms found
in the biomedical corpus. With only light training\, Compbio allows the us
er to input their own data which is then contextualized within the knowledg
e maps. WashU researchers have use these insights to publish in several hig
h-end journals.
Over the last two years\, we have developed a far mor e powerful version of the platform based on artificial intelligence and mac hine learning which allows generalized detection of patterns of concepts wi thin biomedical literature. One of the key aspects of this new suite of to ols is the ability to compare human disease profiles with animal models and drug profiles. Professor Head\, chief inventor\, will discuss the concept ual design\, demonstrate features and usability\, distinguish Compbio from traditional pathway tools\, and review both major publications and the larg e-scale human disease profiles the suite includes.
LOCATION:Online - Zoom GEO:38.635144;-90.262929 ORGANIZER;CN="McKinzie":MAILTO:tolliver.m@wustl.edu URL;VALUE=URI:https://icts.wustl.edu/events/event/next-generation-omics-ana lysis-compbio-v2-0-enabling-translational-omics-analytics-for-human-disease / END:VEVENT BEGIN:VTIMEZONE TZID:America/Chicago BEGIN:DAYLIGHT TZOFFSETFROM:-0600 TZOFFSETTO:-0500 DTSTART:20210314T080000 TZNAME:CDT END:DAYLIGHT END:VTIMEZONE END:VCALENDAR