Multi-omics Strategies for Investigating Cancer Biology and Biomarkers

Originally Aired on September 15, 2020

The rapid progress in high-throughput technologies and platforms for profiling cells at the genomic, epigenomic, transcriptomic, proteomic, and metabolic level is transforming our ability to study cancer. Integration of multi-omics datasets has generated unprecedented insights into cancer biology, evolution, heterogeneity, and response to therapy. In this webinar, Serena Nik-Zainal (University of Cambridge), Dan Landau (Weill Cornell Medicine), and Christina Curtis (Stanford University), leaders in the field of cancer genomics, will discuss recent work employing multi-omics approaches to comprehensively characterize cancer in order to advance diagnosis and treatment.

Serena Nik-Zainal
CRUK Advanced Clinician Scientist
Academic Department of Medical Genetics & MRC Cancer Unit; Group Leader of The Physiology of Mutagenesis Group;
The Clinical School,
University of Cambridge
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Dan Landau
Associate Professor of Medicine, Division of Hematology and Medical Oncology; Associate Professor of Physiology and Biophysics, Weill Cornell Medicine; Core Member,
New York Genome Center
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Christina Curtis
Associate Professor of Medicine and Genetics; Stanford University School of Medicine; Co-Director, Molecular Tumor Board
Stanford Cancer Institute
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Harmony Turk
Senior Scientific Editor, Cancer Cell

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