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Track 7 - April 21 – 23, 2015

Data Visualization and Exploration Tools 

Genomics, Drug Discovery and Clinical Development

As pharma and biotech generate ever greater volumes of data, data visualization allows for deeper analysis and better informed decision-making from these big data sets. Track 7 will showcase how to design, implement and evaluate visualization techniques and tools in support of genomics and sequencing research, as well as in drug discovery and clinical development.

Preliminary Agenda

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Interactive and Exploratory Visualization of Epigenome-Wide Data

Hector Corrada Bravo, Ph.D., Assistant Professor, Center for Bioinformatics and Computational Biology, Department of Computer Science, University of Maryland, College Park

Visualization of Comparative Genomics Data: Results, Challenges and Open Questions

Inna Dubchak, Ph.D., Senior Scientist, Lawrence Berkeley National Laboratory

Visual Tools for the Refinery Platform

Nils Gehlenborg, Ph.D., Research Associate, Center for Biomedical Informatics, Harvard Medical School

Combing the Hairball: Network Visualization with BioTapestry and BioFabric

William J.R. Longabaugh, MS, Senior Software Engineer, Institute for Systems Biology

Making Visualization and Exploration Tools Truly Useful in the Regulatory Setting

Timothy Kropp, Ph.D., Associate Director for Innovation, Office of Computational Science, US FDA/CDE

Turning Data Visualization into Real World Tools for End Users across Clinical Development

Ted Snyder, Lead Senior Analyst, Informatics, Infinity Pharmaceuticals

AIDEAS: An Integrated Cheminformatics Solution

Rishi Gupta, Senior Research Scientist, Platform Informatics and Knowledge Management, AbbVie, Inc.

UpSet: Visualization of Intersecting Sets

Alexander Lex, Ph.D., Postdoctoral Fellow & Lecturer, Harvard School of Engineering & Applied Sciences



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Elsevier 

 

IBM 

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Oracle Health Sciences 

Seagate  

 

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Thomson Reuters 


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Conference CD

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Complimentary Downloads

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

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