Skip Ribbon Commands
Skip to main content

DBBS

:

Events : Next Generation Omics Analysis: CompBio v2.0 Enabling Translational Omics Analytics for Human Disease

Export Event

Requestor

Seth Crosby

Requestor Department

Genetics

Requestor Phone

6367951673

Requestor Email

scrosby@wustl.edu

Type of Event

Scientific Seminar

Type of Lecture

Named Lecture

Start Time

5/5/2021 11:00 AM

End Time

5/5/2021 12:30 PM

Recurrence

 

All Day Event

 

Sponsoring Department/Group

McDonnell Genome Institute

Speaker/Honorific

Richard Head

Speaker Affiliation

Director, McDonnell Genome Institute

Title

Next Generation Omics Analysis:  CompBio v2.0 Enabling Translational Omics Analytics for Human Disease

Add More Speakers (Optional)

No

2nd Speaker/Honorific

 

2nd Speaker Affiliation

 

2nd Title

 

3rd Speaker/Honorific

 

3rd Speaker Affiliation

 

3rd Title

 

4th Speaker/Honorific

 

4th Speaker Affiliation

 

4th Title

 

Location

Zoom Webinar

Comments

https://wustl-hipaa.zoom.us/j/92811026628 Various ‘omics technologies produce large data sets that can be difficult to sift through in search of insights. In 2018 the CompBio platform was invented to facilitate true multi-omic analysis based on a novel approach, known as Contextual Language Processing (CLP), that employs the entirety of PubMed abstracts and millions of full-text papers.  Combining CLP with other unique methods enabled the building of thousands of holistic and interconnected “knowledge maps”. Users’ input data are then contextualized with this novel presentation of the biomedical corpus. Over the last two years, we have developed a far more powerful version of the platform based on augmented artificial intelligence (AAI) that combines PCMM, a novel multi-dimensional memory creation and retrieval system, with Assertion Engine, a machine learning system for generalized pattern detection.  One of the key aspects of the new suite of tools built on the AAI engine is the ability to, both quantitatively and qualitatively, compare human disease profiles with animal models and drug profiles.  Professor Head, chief inventor, will discuss the conceptual design of the AAI engine, improvements in features and usability, distinction from traditional pathway tools, major publications, and an effort to create large-scale human disease comparative profiles for translational research.

Submit Another Request

No

Cancel Event

No

Career/Professional Development

No

PostdocEvent

No

Sponsor/Location

McDonnell Genome Institute -
Location:  Zoom Webinar

Speaker/Title

Richard Head -
Next Generation Omics Analysis:  CompBio v2.0 Enabling Translational Omics Analytics for Human Disease

Sponsor/Speaker/Title/Location

McDonnell Genome Institute -
Location:  Zoom Webinar -
Richard Head -
Next Generation Omics Analysis:  CompBio v2.0 Enabling Translational Omics Analytics for Human Disease

start

5/5/2021

ShowOnHomePage

Yes

Approved Event

Yes

iCal

http://dbbs.wustl.edu/_vti_bin/owssvr.dll?CS=109&Cmd=Display&List={3C2772E8-70D9-4EF9-BB74-B38E64DFF302}&CacheControl=1&ID=&Using=event.ics

Attachments

Content Type: Event
Created at 4/21/2021 8:16 AM by  
Last modified at 4/21/2021 12:50 PM by Andrew Richards