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CONFERENCE SERIES: Informatics & IT

Recorded at: Bio-IT World Conference & Expo

Digital Course: Ontologies: From Drug Discovery to Clinical Data

Order DVD2011 BIT SC5 DVD Cover About this Product: 

Ontologies are increasingly used to formally specify objects and their relations in biological and medical domains and to drive modeling, integration, and analysis of data from genomics, proteomics, drug research, disease, treatment, and electronic health records. 

This course is aimed at informatics practitioners in the biological sciences, and pharmaceutical and health care industries who are responsible for setting up and maintaining data resources covering multiple domains, and at information managers who seek to familiarize themselves with ontology driven data integration and analysis in the health care and life sciences. 

 

Preview: 

 

About this Product: 

3 Presentations
61 Slides
Over 179 Minutes
Individual: $345
Site License: $1380 

 

 

Agenda At A Glance: 

The course will be presented in three parts: 

  • Introduction to basic concepts in ontology development
  • Overview of ontology resources
  • Discussion of the use of an ontology in combination with linked data in a translational medicine scenario.

No prior knowledge in ontologies or data modeling is required.
Practical examples of ontologies development and use will be presented throughout the course.

Benefits & Key Take Aways
Get a better understanding of the strengths of ontology driven data integration, management, and analysis.
Obtain practical insights on how to use ontology development tools and ontology resources.
Learn how to contribute to and benefit from open linked data projects and collaborative ontology development efforts.

Course Outline
Semantic web, concepts and tools – a brief overview
Basics of ontology development and the Protégé ontology editor
The Health Care and Life Sciences Ontology landscape
Use of ontology resources
Collaborative ontology development and data sharing
Case study: the Translational Medicine Ontology

Speaker Biography:Elgar Pichler 
Elgar Pichler, Ph.D., Computational Biologist, Boston
Dr. Pichler has worked as a bioinformaticist in the pharmaceutical and biotech industry for over 10 years. He is interested in the computational analysis of drug discovery processes and health care scenarios and consults on knowledge management and data modeling in these areas. He is also an active member of the W3C Health Care and Life Sciences Interest Group and contributes to open source ontology and linked open data projects.

BONUS FOOTAGE:

 

This digital course provides special footage of all Bio-IT Keynote Sessions. The Tuesday and Wednesday Keynote presentations offered vivid examples of the current and future impact of technology in data for research and drug discovery opportunities. Also included as part of the Wednesday Keynote material is The Benjamin Franklin Award presentation. The Benjamin Franklin Award is given to an individual who has, in his or her practice, promoted free and open access to the materials and methods used in the life sciences. The Thursday Keynote panel featured a series of succinct, forward looking presentations. Special guest speakers shared their unique perspective on the future challenges facing the research, pharma, and medical communities.

Tuesday 

StephenWolfram Sponsored by
Isilon
Making the World’s Knowledge Computable

Stephen Wolfram, Ph.D., CEO, Wolfram Research; Creator of Wolfram\Alpha 

 

 

Wednesday 

Bryn Roberts Sponsored by
Tessella
Interacting with Complex Information Landscapes: Integration and Next Generation User Interfaces

Bryn Roberts, Ph.D., Global Head, Informatics, Pharma Research and Early Development, F. Hoffmann-La Roche 

 

 

Jonathan Eisen Benjamin Franklin Award & Presentation
Jonathan Eisen, Ph.D., Professor, Genome Center, University of California, Davis 

 


 

Thursday 

Kevin Davies Sponsored by
BT small
Keynote Panel Chairperson

Kevin Davies, Editor-in-Chief, Bio-IT World 

 

 

Yuri Rozenman Pharma Futurology: 2016 and Beyond
Yury Rozenman, Global Head of Marketing, Pharmaceutical and Life Sciences Sector, BT Global Sciences 

 

 

Debra Goldfarb Global Risk Informatics: The Application of High Performance Computing to Public Health
Debra Goldfarb, Senior Director, Strategy, Microsoft 

 

 

Ken Buetow Ecosystem-Driven Approaches for 21st Century Biomedicine
Ken Buetow, Ph.D., Associate Director for Bioinformatics and Information Technology, National Cancer Institute 

 

 

Ben Heywood Integration of Real Time Discovery and Clinical Care
Ben Heywood, Co-founder and Chairman, PatientsLikeMe 

 

 

Mark Boguski The Goody-Gaga Effect: Health Communication at the Nexus of Social Media and Popular Culture
Mark Boguski, M.D., Ph.D., Founder, Resounding Health Incorporated 

 

 

Martin Leach Gaming in the Workplace
Martin D. Leach, Ph.D., Executive Director, MRL IT for Discovery & Pre-Clinical Sciences, Merck & Co. 


About the Conference:
Bio-IT World Conference & Expo
Enabling Technology.  Leveraging Data.  Transforming Medicine.
 

Since its debut in 2002, the annual Bio-IT World Conference & Expo (www.bio-itworldexpo.com) has established itself as a premier event showcasing the myriad applications of IT and informatics to biomedical research and the drug discovery enterprise. The Conference attracts a highly influential audience consisting of senior level scientists, IT professionals and Executives from organizations across the life sciences industry including Pharmaceutical, Biotechnology, Health Systems, Academia, Government and National Laboratories. In 2011, over 2,000 delegates gathered from 29 countries to share information and discuss enabling technologies that are driving the drug discovery process and transforming medicine. The event features concurrent tracks with 160+ technology and scientific presentations.



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Conference CD

CD iconOrder the 2014 event proceedings - now available on CD 


Complimentary Downloads

View white papers, listen to podcasts, and more! 

  • Making the World's Knowledge Computable
  • Bioinformatics in the Cloud
  • The Application of Text Analytics to Drug Safety Surveillance
 

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