PSB 2016 Workshop: Translational Bioinformatics 101

Presenters:

Š       Jessica D. Tenenbaum, Duke University (Organizer- jessie.tenenbaum@duke.edu)

Š       Subha Madhavan, Georgetown University

Š       Robert Freimuth, Mayo Clinic

Š       Josh Denny, Vanderbilt University

Š       Lewis Frey, Medical University of South Carolina

 

Workshop Overview

Translational Bioinformatics (TBI) has been defined as the “development of storage, analytic, and interpretive methods to optimize the transformation of increasingly voluminous biomedical data, and genomic data, into proactive, predictive, preventive, and participatory health.”[1] More simply put, it is the development of methods to transform lots and lots of data into health. President Obama’s recently announced Precision Medicine Initiative makes it particularly timely for researchers to learn about and explore the translational side of our field. This workshop will provide context for how the various bioinformatics methods may be applied toward the enhancement of human health, enabling health care providers to deliver the right intervention for the right patient at the right time. Presentations will cover major themes within the field of TBI, as put forth by a recent review in IMIA’s (International Medical Informatics Association) Yearbook of Medical Informatics[2], and supplement those topics with a section on relevant data standards from the clinical and translational domain:

Š       Introduction:  History and definitions-  Tenenbaum

Š       Clinical “big data” I:  Clinical3PO- Deep Phenotyping to Precision Medicine- L Frey

Š       Clinical “big data” II: The use of EHR data for genomic discovery:  the eMERGE network- Denny

Š       Omics for drug discovery and repurposing- Tenenbaum

Š       Into to the clinic I: Data standards for Translational Bioinformatics- Freimuth

Š       Into to the clinic II: Genomics and pharmacogenomics in routine clinical care, with focus in cancer- Madhavan

Š       Personal genomic testing and related ethical, legal, and social issues- Tenenbaum

 



[1] http://www.amia.org/applications-informatics/translational-bioinformatics

[2] Denny JC. Surveying Recent Themes in Translational Bioinformatics: Big Data in EHRs, Omics for Drugs, and Personal Genomics. Yearb Med Inform. 2014 Aug 15;9(1):199-205.