Events for November 22, 2021 - May 23, 2024

  • Bioinformatics/Human Genetics Seminar Series: Vivian Li, PhD

    ZOOM CA, United States

    Assistant Professor-Biostatistics, Department of Biostatistics and Epidemiology, Rutgers University "Model-based analysis of alternative polyadenylation using 3' end reads" Hosted by Jessica Li

  • QCBio Research Seminar: Arjun Bhattacharya (Pasaniuc)

    ZOOM CA, United States

    TITLE: "Distal mediator-enriched placental transcriptome-wide association studies reveal genetic mechanisms supporting the  Developmental Origins of Health and Disease." ABSTRACT: As the master regulator of the intrauterine environment, the placenta is core to the Developmental Origins of Health and Disease (DOHaD) but is understudied in large consortia of tissue-specific gene and trait regulation. We performed distal mediator-enriched transcriptome-wide […]

  • QCBio Research Seminar: Xinzhou Ge (Li JJ)

    ZOOM CA, United States

    TITLE: "Clipper: p-value-free FDR control on high-throughput data from two conditions." ABSTRACT: High-throughput biological data analysis commonly involves identifying "interesting" features (e.g., genes, genomic regions, and proteins), whose values differ between two conditions, from numerous features measured simultaneously. The most widely-used criterion to ensure the analysis reliability is the false discovery rate (FDR). Existing bioinformatics […]

  • QCBio Research Seminar: Casey Barkan (Wang)

    ZOOM CA, United States

    TITLE: "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 […]

  • QCBio Research Seminar: Aliya Lakhani (Park)

    ZOOM CA, United States

    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 […]