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
Panelist: Pam Yeh
Assistant Professor of Bioengineering, University of Pennsylvania “Genome folding, unfolding, and refolding in the mammalian brain” Hosted by Hilary Coller
Panelist: Roy Wollman
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
Panelist: Kirk Lohmueller
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 […]