Events for July 24 - April 6
Events
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ZOOM CA, United States -
QCBio Research Seminar: Casey Barkan (Wang)
ZOOM CA, United StatesTITLE: "Critical slowing down signals quasi-species extinction in an evolutionary model with environmental heterogeneity." ABSTRACT: Environmental heterogeneity can significantly affect the evolutionary dynamics of a population. A key parameter that determines the influence of heterogeneity is the migration rate--the rate at which organisms explore their heterogeneous environment. We study a model of a population which migrates between […]
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QCBio Research Seminar: Aliya Lakhani (Park)
TITLE: "Integrating metabolomics and fluxomics to study cancer metabolism in low glucose environments." ABSTRACT: Metabolomics and fluxomics are integral tools for quantitative metabolic analysis. By combining mass spectrometry, isotope tracing, and mathematical modeling, we can quantify metabolite concentrations and fluxes in cancer cells. Using these tools, we are investigating the coordination of bioenergetics, biosynthesis, and redox […]
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Bioinformatics/Human Genetics Seminar Series: Martin Kampmann, PhD
Associate Professor, Department of Biochemistry and Biophysics, UCSF “TBD” Hosted by David Eisenberg
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QCBio Academic Jobs – Postdoc Career Development Series: “Teaching Statement”
Panelist: Eric Deeds Associate Professor Integrative Biology and Physiology Institute for Quantitative and Computational Biosciences
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QCBio Research Seminar: Juan de la Hoz Gomez (Olde Loohuis & Freimer)
TITLE:“Longitudinal phenotyping of Severe Mental Illness from Electronic Health Records.” ABSTRACT:Electronic Health Records (EHRs) offer an exciting avenue for large-scale genetic studies of psychiatric disorders in globally diverse populations. As a potential source of inexpensive and longitudinal phenotypes, they are key for the study of severe mental illness trajectories. The Clinica San Juan de Dios […]
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QCBio Research Seminar: Alec Chiu (Sankararaman)
TITLE: "Population structure inference for biobank-scale data." ABSTRACT: Inferring the structure of human populations from genetic variation data is a key task in population and medical genomic studies. While a number of methods for population structure inference have been proposed, current methods are impractical to run on biobank-scale genomic datasets containing millions of individuals and […]
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Bioinformatics/Human Genetics Seminar Series: Smita Krishnaswamy, PhD
Associate Professor of Genetics and of Computer Science, Yale School of Medicine “TBD” Hosted by Jason Ernst
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