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UID:7bed57a04e0ae3581cf79ec041af0207
CATEGORIES:Mathematical Physics Seminar
CREATED:20240318T095256
SUMMARY:Webinar: Eric Siggia - Geometry and Genetics
LOCATION:Zoom
DESCRIPTION:<p style="text-align: center; background: white;"><strong>Eric Siggia – Roc
 kefeller University</strong></p><p style="text-align: center;">Wednesday,&n
 bsp;April 3rd,&nbsp;<strong>10:45AM EDT&nbsp;</strong></p><p style="text-al
 ign: center;"><strong>&nbsp;</strong></p><p style="text-align: center; back
 ground: white;"><strong>Geometry and Genetics</strong></p><p>The classic ph
 enomena of canalization in developmental biology, that outcomes are discret
 e and biologically&nbsp;interpretable, is a license to treat phenomenologic
 al models by geometric methods. Papers of Smale and others from 1961-70’s p
 rove that the Waddington topographical metaphor for developmental of cells 
 or embryos moving down hill and bifurcating into lineages, is rigorously tr
 ue for gene network models. We (Rand et al PNAS 2021) extend these results 
 to classify all generic two dimensional parameter spaces for such models. R
 esults extend to spatial patterns as well as intracellular gene networks.&n
 bsp; The geometric interpretation of dynamical systems is in accordance wit
 h basic notions of classical embryology. Biological data from directed diff
 erentiation of embryonic stem cells and vertebrate development will be inte
 rleaved into the presentation.</p>
DTSTAMP:20260829T001144
DTSTART;TZID=America/New_York:20240403T104500
DTEND;TZID=America/New_York:20240403T114500
SEQUENCE:0
TRANSP:OPAQUE
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