Research towards understanding biological systems is moving
from a focus of
identifying components parts (cells, molecules, sequences) to
the study of how these components function together. Networks attain
functional characteristics that the individual components do not possess
To reveal and further explore such emergent properties of
networks, over a
variety of biological scales and complexities, mathematical
tools play increasingly important roles in furthering our understanding of
(1) The goal of this workshop is to bring together researchers
biological and mathematical sciences to compare and contrast
systems properties over diverse scales of biological networks.
(2) The goal of each session is to first discuss progress and
the biological scale relevant to that session. The session
leader will then
organize subsequent talks and discussion to focus on specific
networks and biological questions at that scale.
(3) The goal for each presenter is to give sufficient, but not
details on their biological system so that key biological
involving design principles, models, and "conjectures" can be
understood and compared across sessions by a diverse audience. This
workshop will have limited focus on tool building for data analysis.
The workshop will be organized into five sessions, presented in
increasing order of biological scale. The first session will be on
networks at the
single molecule scale, with emphasis on stochastic effects. The
second will be in design principles of small networks. Here, synthetic
networks involving polarity decisions will be showcased. The
fourth sessions will delve into intra- and intercellular
networks. Emphasis will be placed on biological examples in which collaborations between theory and experiment are nascent, but showing promise.
Our final session will cover design principles of large networks,
including results from interpreting high-throughput and large-scale datasets.