12:090:280:01 Mathematics as Biology's New
Microscope
Rutgers, Spring 07
Honors Seminar, T 9:50AM-12:50PM,
Brett Hall Seminar
Room (CAC)
(for guest speakers: link to map of Brett Hall and Train station)

Instructor:
Eduardo Sontag,
email:
sontag@math (add .rutgers.edu if
mailing from outside Rutgers)

I sent an email to the class on 8 April (Sunday), to discuss
plans for the rest of the semester. If you have no received that email,
let me know ASAP.
Calendar
Follow this
link for the files of papers, and please look at this essay:
"how to read
a research paper".
-
16 Jan
Lecture:
A quick introduction to molecular systems biology
-
23 Jan
Student presentation (presented by Sofia Machado):
Scale-free networks in cell biology, Albert R., J Cell Sci. 2005 4947-57.
Lecture: Second part of intro to molecular systems bio.
-
30 Jan
Student presentation: second part of S.Machado's presentation.
Guest speaker:
Prof. Nina Fefferman,
Department of Public Health, School of Medicine, Tufts University.
Social behavior in insects, and swarming in bee populations
(see this link
for details).
-
6 Feb
Student presentation (presented by Son Nguyen):
Generation of oscillations by the p53-Mdm2 feedback loop: A theoretical and
experimental study, Ruth Lev Bar-Or, Ruth Maya, Lee A. Segel, Uri Alon, Arnold
J. Levine, and Moshe Oren, Proc. Natl. Acad. Sci. USA, 97, 11250-11255, 2000.
-
13 Feb
Student presentation (presented by Ankit Shah):
Essential nonlinearities in hearing, Eguiluz, V. M., Ospeck, M., Choe, Y.,
Hudspeth, A. J. & Magnasco, M. O. Physical Review Letters 84, 5232-5235, 2000.
Guest speaker: Todd Riley, Rutgers BioMaPS and Institute for Advanced Studies.
An introduction to synthetic biology.
-
20 Feb
Lecture: Chapter 1 of text, Iterations of one-dimensional maps; equilibria, cobwebs.
Guest speaker:
Dr. Robert Dinerstein, Sanofi-Aventis Pharmaceuticals, Bridgewater, NJ.
Drug discovery and math modeling in the pharma industry, and a discussion
of careers.
-
27 Feb
Lecture: rest of Chapter 1 of book, computer examples, periodic orbits, chaos.
Student presentation (presented by Koshi Itagaki):
Using mathematics to understand HIV immune dynamics, Kirschner D. AMS
Notices pp. 191-202, February 1996.
-
6 Mar
Student presentation (presented by Samar Shah):
Luminescence control in the marine bacterium Vibrio fischeri: an analysis of
the dynamics of lux regulation, Journal of Molecular Biology 296, 1127-1137,
2000.
Guest speaker:
Professor Alan Weinstein (MD), Physiology and Biophysics, and Medicine,
Cornell Medical School.
Kidney modeling: proximal tubule and cell homeostasis, and
medical applications to potassium transport.
(Spring
Break)
-
20 Mar
Guest speaker:
Dr. Jonathan
Dushoff, Ecology, Princeton.
Ecology and modeling of influenza epidemics.
-
27 Mar
Lecture: continue of Chapter 2 of book.
Guest speaker:
Professor
Troy Shinbrot, Biomedical Engineering, Rutgers.
Cellular morphogenesis.
-
3 Apr
Lecture: rest of Chapter 2 of book. Perhaps start chapter 3.
Guest speaker:
Professor
Fred Roberts, DIMACS and Mathematics, Rutgers.
Epidemiology (or bioinformatics; topic TBA)
-
10 Apr
Student presentation (presented by David Hammer):
chapter 7 of book: epidemiology models
Student presentation (presented by Timothy Ni):
The growth and form of tunnelling networks in ants, Jerome Buhla, Jacques
Gautrais, Jean Louis Deneubourg, Pascale Kuntz, and Guy Theraulaz
Lecture:start discussing Chapters 4/5 of book (base substution models for DNA, phylogenetic trees)
- 17 April: flood day
-
24 Apr and make-up day:
Student presentation (presented by Hinal Patel):
The coherent feedforward loop serves as a sign-sensitive delay element in
transcription networks, Mangan S., Zaslaver A., Alon U
Student presentation (presented by Charles Chi): Chapter 3 (systems of
difference equations) of book.
Student presentation (presented by Rich Scibetti): Chapter 6 (genetics)
of book.
Student presentation (presented by Vinayak Thakur): Chapter 2 (Boolean
systems) of L. Glass' book.
Guest speaker:
Dr. Deborah J. Aks, Center for
Cognitive Science (RuCCS), Rutgers.
Tools to
explore dynamics of visual and biological behaviors.

Book
In addition to
journal
papers,
and other
reading materials,
as well as
guest lectures,
we will work with the following book:
Mathematical
Models in Biology, by Elizabeth S. Allman and John A. Rhodes.
Here is a
zip
file with all Matlab programs used in the book.

Web resources

Some Reading Materials:
Unconfirmed Guest Speakers (tentative list):
-
Professor Stanley
Dunn, Biomedical Engineering, Rutgers.
Date and Topic: TBA. (Probably: imaging in medicine.)
-
Professor
Philip Holmes, Mechanical and Aerospace Engineering and Applied Math,
Princeton.
Date and Topic: TBA. (Probably: insect locomotion.)

Course Announcement:
Life, whether at the level of the genome, cells, organs, organisms, or populations, can only be understood when seen as the result of interactions among multiple components. Whether dealing with signal transduction pathways in cells and their disruption in cancer, neuronal networks in brain function, the spread of epidemics in populations, or ecosystem responses to climate change, the typical "reductionist" approach to learning and doing biology is not powerful enough to describe, analyze, and interpret such complex behaviors. Quantitative (i.e, mathematical!) formalisms, concepts, tools, and models are required.
Indeed, the Life Sciences are in the midst of a major revolution in quantitative theoretical formulations, not unlike the transformation that physics underwent in the 17th century. The need for interdisciplinary training in quantitative biology has been widely recognized, as evidenced by frequent position papers appearing in journals such as Nature and Science, and the establishment of graduate programs in the field at major universities (including Rutgers).
Unfortunately, our educational system tends to separate students into "quants" (math, physics, engineering) and others, so the majority of students are never given the opportunity to grasp the beauty and power of mathematical ideas in biology. The goal of this seminar is to expose Rutgers students, regardless of major, to this fascinating field, early on in their careers.
There are a very large number of possible topics to be covered, and the syllabus will evolve based on student's interest and input. Some of the possible topics include the mathematics behind phylogenetic trees, sequence alignment methods, shotgun sequencing, dynamics of cell signaling networks including memories, switches, and oscillators, chemotaxis, pattern formation, neural transmission, Markov chains for population models, and epidemiology.
In order to make the course accessible to a wide audience, there will be no prerequisites except high-school "precalculus"; any necessary mathematical concepts will be introduced as needed. While computers may be used as an aid in understanding, such as running simulations of dynamical processes, the emphasis will be on intuitive and fundamental understanding.
Dr. Eduardo Sontag is a Professor of Mathematics, and is also in the Graduate
Faculties of the Departments of Computer Science and of Electrical and
Computer Engineering, and the BioMaPS Institute for Quantitative Biology, and
directs the BioMathematics Interdisciplinary Undergraduate Major. He has
published widely and won several international awards, as well as the 2002
Rutgers' Trustees Award for Research and the 2005 Rutgers Teacher/Scholar
Award. (More info on his webpage)