Biology and Big Data

March 13 2018, The Pennsylvania State University

Organizers:  Igor Aronson and Leonid Berlyand

Supported by Center for Mathematics of Living and Mimetic Matter  and Center of Interdisciplinary Mathematics.

Workshop Venue: All talks will be held in room 113 of McAllister Building, The Pennsylvania State University.

 

Schedule:

9:15 AM – 9:30 AM            Coffee & Welcoming Remarks

9:30 AM – 10:15 AM          Philippe Noirot, Argonne National Lab
Big data needs to be friend with small data in order to crack the complexity of biological systems
[View Abstract]

10:15 AM – 11:00 AM        Kateryna Makova, Penn State University
Non-B DNA affects polymerization speed and error rate in sequencers and living cells
[View Abstract]

11:00 AM – 11:45 AM         Pierre-Emmanuel Jabin, University of Maryland
Can we quantify the behavior of some neural networks, both artificial and biologically motivated?
[View Abstract]

11:45 AM – 1:45 PM           Lunch Break & Discussions

2:00 PM – 2:45 PM            Réka Albert, Penn State University
Using causal experimental evidence to construct predictive models of biomolecular systems
[View Abstract]

2:45 PM – 3:00 PM            Closing Remarks

6:30 PM –                           Workshop Dinner