Events for March 24, 2023 - February 6, 2023

  • QCBio Research Seminar: Alec Chiu (Sankararaman)

    ZOOM CA, United States

    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 […]

  • QCBio Research Seminar: Ashfaq Ahmed (Venugopal)

    ZOOM CA, United States

    TITLE: "Mechanisms of robust entrainment of biological oscillators involved in gastric peristalsis.” ABSTRACT: Oscillator entrainment is a widely observed phenomenon in natural systems. Using a computational modeling approach, we decipher […]

  • QCBio Research Seminar: Alexis Weber (Geschwind & de la Torre-Ubieta)

    ZOOM CA, United States

    TITLE: "Defining chromatin accessibility and molecular dysregulation in Down Syndrome." ABSTRACT: Despite accumulating almost two centuries of medical information, the exact mechanisms underlying Down Syndrome (DS) developmental pathology remain unknown. DS […]

  • Bioinformatics/Human Genetics Seminar Series: Aaron Panofsky, PhD

    ZOOM CA, United States

    Associate Professor and Vice Chair of Academic Personnel, UCLA Institute for Society and Genetics “Citizen Scientific Racism: White Nationalist Appropriations of Genetic Research” Hosted by Christina Palmer  

  • QCBio Research Seminar: Erin Molloy (Sankararaman)

    ZOOM CA, United States

    TITLE: "Advancing admixture graph estimation via maximum likelihood network orientation." ABSTRACT: Admixture, the interbreeding between previously distinct populations, is a pervasive force in evolution. The evolutionary history of populations in the […]

  • QCBio Research Seminar: Ruochen Jiang (Li JJ)

    ZOOM CA, United States

    TITLE: "Sources of zeros in single-cell RNA-seq data and how they affect data analysis." ABSTRACT: Single-cell RNA sequencing (scRNA-seq) technologies have revolutionized biomedical sciences by enabling genome-wide profiling of gene expression levels at an unprecedented single-cell resolution. A distinct characteristic of scRNA-seq data is the vast proportion of zeros unseen in bulk RNA-seq data. Researchers […]