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Track 5 - April 21 – 23, 2015

Next-Gen Sequencing Informatics 

Advances in Large-Scale Data Analysis and Interpretation

Tremendous advancements have been made to broaden NGS applications from the research to the clinic. In spite of this, enormous challenges for NGS still exist including data storage, processing, scaling, quality control management, and interpretation. Track 5 presents case studies on these challenges. Themes to be covered include database systems to manage and analyze NGS data, analytic tools and workflow solutions, cloud computing and collaborative technologies, and NGS variants & gene mapping and expression.

Preliminary Agenda

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Development of Novel Algorithms for Assembly of RNA-Seq Reads into Transcriptomes

Guojun Li, Professor, Mathematics, Shandong University

NGS Data Management at Lilly: Progress towards Standardization

Yuhao Lin, Associate Consultant, Informatics Capabilities, Eli Lilly

Informatics Infrastructure for Secure Access, Visualization and Analysis of NGS Data

Ted Kalbfleisch, Ph.D., Assistant Professor, Biochemistry and Molecular Biology, University of Louisville

Analysis of Ig Deep Sequencing in Humanized Mice

Stefan Klostermann, Ph.D., Senior Principal Scientist, Bioinformatics, Roche Diagnostics

Large-Scale NGS Analysis Using Globus Genomics: Challenges and User Success Stories

Ravi Madduri, Fellow, Computation Institute, University of Chicago and Argonne National Lab

Dinanath Sulakhe, Solutions Architect, Computation Institute, University of Chicago and Argonne National Lab

Sample Aggregation and Analytics in the Post-$1,000 Genome Era

Scott Khan, Ph.D., Vice President, Enterprise Informatics, Illumina, Inc.

The Penetrance of Incidental Findings in Genomic Medicine

Robert C. Green, M.D., MPH, Director, G2P Research Program; Associate Director, Research, Partners Personalized Medicine, Division of Genetics, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School

Turn-Key Variant Analysis for the Biologist Using the Maverix Analytic Platform

Dan Kearns, Director, Software Development, Maverix Biomics, Inc.

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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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