Cambridge Healthtech Institute’s Fifth Annual

Bioinformatics for Big Data

Converting Data into Actionable Knowledge

March 7 – 9, 2016 | Moscone North Convention Center | San Francisco, CA
Part of the 23rd International Molecular Medicine Tri-Conference


Bioinformatics continues to face challenges of integrating molecular biological information with processes of quality patient care and accelerating the discovery of useful new therapies. The challenges are triggered by the increasing biomedical research that needs to be performed with large-scale data. Scientists are able to study entire systems of data in parallel using a variety of tools and methods. Tremendous computational resources are required to store, compute, analyze, and share. Through lectures and panel discussions, the fifth Annual Bioinformatics for Big Data Program will assemble thought leaders who will present solutions to some of these challenges. You’ll hear the latest developments of bioinformatics database platforms and tools that provide proper scalable archive strategies, optimize computing capacities, simplify data and NGS workflow, flexible and open analysis and interpretation, better collaboration models, and faster time to science. You’ll also hear best practice case studies of taking data from multiple –omics sources and aligning it with clinical action. Turning big data into smart data can lead to real time assistance in disease prevention, prognosis, diagnostics, and therapeutics.

Preliminary Agenda

Genomic and Precision Medicine: Evolving Science, Models, and Tools

Big Data in Cancer Research and Precision Oncology

Anthony R. Kerlavage, Ph.D., Chief, Cancer Informatics Branch, Center for Biomedical Informatics & Information Technology, National Cancer Institute

Genetic Drivers of Intratumoral Immune Response in Human Breast Cancer

Davide Bedognetti, M.D., Ph.D., Director, Tumor Biology, Immunology and Therapy, Division of Translational Medicine, Research Branch, Sidra Medical and Research Center

Big -Omics Data Coupled with Health Coaching to Optimize Wellness and Minimize Disease

Nathan D. Price, Ph.D., Professor and Associate Director, Institute for Systems Biology

Computing and Scaling Capacities for NGS Analysis

A Scalable and Adaptive Framework for Next Generation Sequencing Analysis

Zhiyan Fu, Ph.D., CSCO, Scientific and Research Computing, Genome Institute of Singapore

Prediction of Protein Structure, Dynamics and Function on the Genomic Scale

Andrzej Kloczkowski, Ph.D., Professor, Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital and Department of Pediatrics, The Ohio State University College of Medicine

Extracting Knowledge from Gene Expression Profiles

L1000CDS2: LINCS L1000 Characteristic Direction Signature Search Engine Predicts Kenpaullone as a Potential Therapeutic for Ebola

Avi Ma’ayan, Ph.D., Professor, Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai


Visualization and Data Mapping Tools Redefined

NASFinder: Defining a Network Activity Score

Corrado Priami, Ph.D., Computer Science, Microsoft Research - University of Trento Centre for Computational and Systems Biology (COSBI)

Custom Visualizations to Support Scientific Decision Making

Christian Blumenroehr, Ph.D., Senior Scientist, Roche Innovation Center Basel, F. Hoffmann-La Roche

Genomics for Every Biologist NOW: Introducing the Pantheon of Next Generation NCBI BLAST Resources

Ben Busby, Ph.D., Genomics Outreach Coordinator, NCBI, NIH

A Flexible Pipeline that Extracts Full Clinvar Data Set

Xin Feng, Ph.D., Assistant Professor, Bioinformatics Research Lab and Department of Molecular and Human Genetics, Baylor College of Medicine

Convergence of Large Population & Personal Data to Make Progress in Research, Population and Clinical Trials

The Collaboratory at Work in Multiple Sclerosis and Beyond

Marcia Kean, Chairman, Strategic Initiatives, Feinstein Kean Healthcare
Kenneth Buetow, Ph.D., Director of Computational Sciences and Informatics, Complex Adaptive Systems Initiative (CASI), Arizona State University
Robert McBurney, Ph.D., CEO, Accelerated Cure Project for MS

Will the Microbiome Be One of the Missing Links to Solving the Autoimmunity Puzzle?

Bonnie Feldman, Ph.D., Chief Growth Officer and CEO, DrBonnie360

Innovation from the Clinical Laboratory: The New Role of -Omics Based Testing & Decision Support

Andreas Matern, Vice President, Commercial Partnerships and Innovation, BioReference Laboratories, Inc.

Big Data and Unmet Clinical Need: Two Problems Separated by a Common Language

Michael Liebman, Ph.D., Managing Director, IPQ Analytics, LLC

Bina TechnologiesPresentation to be Announced

Narges Bani Asadi, Ph.D., CEO, Bina Technologies

Premier Sponsors:  

Bina Technologies




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 Precision for Medicine 


Silicon Biosystems

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