ITS Symposium Archive

A bottom-up approach to microbial community assembly
Jeff Gore, Massachusetts Institute of Technology

The origin of chaos in large interacting ecosystems
Giulio Biroli, École Normale Supérieure

Collective behaviors in large interactive ecosystems: A phase diagram...

Sequence diversity in the adaptive immune system
Curtis Callan, Princeton University

Deep learning and proteins
Lucy Colwell, Cambridge University

Learning protein constitutive motifs from sequence data
Remi Monasson, École Normale Supérieure

In recent years, ideas and methods form statistical physics have reshaped our understanding of simple models for evolutionary dynamics, as well as suggesting new approaches to the analysis of large scale sequence data. Viruses, and teir interactions with their hosts, provide a natural laboratory for these ideas.

The growth of bacteria provides a literal microcosm of the problems faced by all cells and organisms.  Growth requires extracting energy from the available nutrients, and this in turn requires coordinated expression of the genes that code for metabolic enzymes.  During the growth process itself cells have to make multiple decisions, with life-...