[Colloquium] Seminar Announcement: Integrative genomics meets big data: from single-cell, clonal analysis of tumor evolution to city-wide, personalized genome profiling

[Ninfa Mayorga]

Computation Institute Presentation

Speaker:  Christopher Mason, Assistant Professor of Computational Genomics and Neuroscience at Weill Cornell Medical College
Host:  Natalia Maltsev
Date:  April 14, 2014
Time: 1:00PM - 2:00PM
Location: University of Chicago, Searle 240A, 5735 S. Ellis Ave.

Integrative genomics meets big data: from single-cell, clonal analysis of tumor evolution to city-wide, personalized genome profiling
The avalanche of easy-to-create genomics data has impacted almost all areas of medicine and science, and here we report the implementation of genomics technologies from the single-cell to an entire city.  Recent methods and algorithms enable single-cell and clonal resolution of phenotypes as they evolve, both in normal and diseased tissues.  We show that tumors evolve quickly at the genetic, epigenetic, transcriptional, and epitranscripional level, enabling many means by which tumors can resist therapy.  Notably, some of these changes can be resolved by single-cell analysis and enable prognostic relevance.  We report new biochemical methods (eRRBS, MeRIP-seq) and algorithms (methylKit, eDMR, methclone) to examine these changes.  Finally, we will discuss pilot data for creating an integrative genomics view of an entire city, from our Pathomap project, where we have longitudinally profiled the microbiome of the NYC subway system.  These technologies create new opportunities and challenges in Big Data, which we argue are still not as good as Smart Data.
Information:  CV attached


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