Bioinformatics/Human Genetics Seminar Series: Smita Krishnaswamy, PhD
ZOOM CA, United StatesAssociate Professor of Genetics and of Computer Science, Yale School of Medicine “TBD” Hosted by Jason Ernst
Associate Professor of Genetics and of Computer Science, Yale School of Medicine “TBD” Hosted by Jason Ernst
Assistant Professor of Bioengineering, University of Pennsylvania “Genome folding, unfolding, and refolding in the mammalian brain” Hosted by Hilary Coller
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 the essential intrinsic and extrinsic mechanisms of robust entrainment of biological oscillators involved in gastric peristalsis. Specifically, we show that the constitutive intercellular IP3-facilitated pacemaker […]
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 is caused by trisomy of chromosome21 (T21), but without pinpointing the way in which T21 confers molecular dysfunctions and subsequently impairs neurodevelopment, it has been […]
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
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 presence of admixture can be modeled by augmenting phylogenetic trees with additional nodes that represent admixture events. However, these admixture graphs present formidable inferential challenges. Exhaustively evaluating all […]
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 […]
Associate Dean for the Humanities, University of Michigan-Ann Arbor “TBD: History of genetic counseling” Hosted by Christina Palmer
TITLE: "A simple, two-step, multivalent binding model predicts IL-2 mutein cell signaling profiles." ABSTRACT: The common γ-chain cytokines are promising immune therapies, but have been limited in their efficacy due to their induction of non-specific immune activation. Here, we visualized immune cell response to both mono- and multivalent γ-chain muteins using a structured dimensionality reduction scheme. […]