Bioinformatics

The Bioinformatics track assembles thought leaders who will present case studies using computational resources and tools that discuss the problems and challenges 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. With the ever-increasing volume of information generated for curing or treating diseases and cancers, bioinformatics technologies, tools, and techniques play a critical role in turning data into actionable knowledge to meet unstated and unmet medical needs. Case studies will be presented on addressing these problems and challenges, including making the jump from prototyping to production code, defining what a "validated" informatics pipeline means, how to balance agility needs with requirements to be consistent/compliant, pipeline and workflow frameworks, containerization for reproducibility, and more. How do your approaches deal with inconsistencies in definitions and meta-data across the multiple datasets that form the basis of big data?

Preliminary Agenda

PRECISION CANCER MEDICINE METHODS

Talk Title to be Announced

John Quackenbush, PhD, Henry Pickering Walcott Professor of Computational Biology and Bioinformatics; Chair, Department of Biostatistics, Harvard T.H. Chan School of Public Health

Precision Cancer Medicine

Jeffrey Rosenfeld, PhD, Manager, Biomedical Informatics Shared Resource and Assistant Professor of Pathology and Laboratory Medicine, Rutgers Cancer Institute of New Jersey; President, Rosenfeld Consulting LLC

Pediatric Cell Atlas: Using Single-Cell Technology to Understand Childhood Health and Disease

Deanne Taylor, PhD, Director of Bioinformatics, DBH, Children's Hospital of Philadelphia

mTOR System: A Database for Systems-Level Biomarker Discovery in Cancer

Iman Tavassoly, MD, PhD, Assistant Professor, Systems Biology, Mount Sinai Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai

Building an Artificial Intelligence-based Vaccine Discovery System- Applications in Infectious Diseases & Personalized Neoantigen-related Immunotherapy for Treatment of Cancers

Kamal Rawal, PhD, Associate Professor, Amity University, India; Adjunct Faculty, Baylor College of Medicine, Houston, USA

Blast, Pipelines, and FAIR

Thomas Madden, PhD, Staff Scientist, NCBI/NLM/NIH

Talk Title to be Announced

Yaoyu Ethan Wang, Senior Research Scientist, Department of Biostatistics, Harvard T.H. Chan School of Public Health


Platinum Sponsors

accenture

BenchlingNEW

Elsevier-square

L7-informatics

linguamatics

PerkinElmer

Weka