NIGMS Center for Quantitative Biology at Princeton

1. NIGMS Center for Quantitative Biology at Princeton NIGMS Lewis-Sigler Institute for Integrative Genomics Princeton University

2. Research and Teaching at the Lewis-Sigler Institute • Multi-disciplinary Faculty -- Chemistry, Chemical Engineering, Computer Science, Ecology and Evolutionary Biology, Molecular Biology, Physics • Organic Connection between Research and Teaching -- Lewis-Sigler and Theory Fellows • Basic Research in Quantitative & System-Level Biology --Theory <----> Experiment --Model organisms: bacteria, yeast, worms, flies, animal cells • Undergraduate and Graduate Curricula in Quantitative Biology --Integrated science education for the 21st century • High-Technology Research Infrastructure & Teaching Labs -- NIGMS Centerfor Quantitative Biology

3. NIGMSCenter-supported Infrastructure • Microarray/2nd Generation Sequencing Core: Wei Wang, Ph.D. (July 1) • Advanced Imaging Core: Stephan Thiberge, Ph.D. • Mass Spectrometry Core: David Perlman, Ph.D. • Computation/Bioinformatics Core: Kara Dolinski*, Ph.D. & John Matese, Ph.D. • * also our administrator

4. Co-Publications among Members of NIGMS Center since 2003 (120 of 376) *

5. Outcomes: Classes of 2008 - 2010 Of a total of 51 who finished the freshman course [18 (2008) +14 (2009) +19 (2010)], 29 ultimately received the Certificate in Quantitative Biology. Of these 29: 11 are women 18 majored in biology, 3 in physics, 3 in chemistry, 2 in CS, 2 in EE, 1 in CHE 21 are enrolled in graduate programs (6 Harvard, 3 MIT, 3 Stanford, 2 Berkeley, 2 Yale, U. Washington, Oxford, U. Colorado, Columbia, Carnegie Mellon/Pitt) 2 are in industry (Microsoft, Bridgewater Associates) 2 are research assistants (Walter Reed, Harvard) 1 is teaching high school 1 is a volunteer in Africa & currently applying to Grad Programs Enrollment in this year’s freshman class was 31: 16 (50%) women

6. Graduate Program in Quantitative and Computational Biology: http://www.princeton.edu/qcbgrad • Collaborating/Alternative Graduate Programs: Chemistry, Computer Science, Ecology & Evolutionary Biology, Neuroscience, • Molecular Biology, Physics.

7. Method and Logic in Quantitative Biology (I) A graduate course, taught with Ned Wingreen, in which self- selected beginning graduate students (about equal numbers of biologists and physicists) read closely and discuss original papers Luria and Delbrück, 1943, Mutations of bacteria from virus sensitivity to virus resistance Elowitz et al., 2002, Stochastic gene expression in a single cell Novick A, Wiener M. 1957. Enzyme Induction as an All-or-None Phenomenon”. Barkai and Leibler 1997. Robustness in simple biochemical networks” Goldbeter and Koshland 1981.An amplified sensitivity arising from covalent modification in biological systems”. Hopfield JJ. 1974. Kinetic Proofreading: A New Mechanism for Reducing Errors in Biosynthetic Processes Requiring High Specificity

8. Method and Logic in Quantitative Biology (II) Smith and Waterman 1981. Identification of common molecular subsequences Felsenstein 1981. Evolutionary trees from DNA sequences: a maximum likelihood approach. Eisen JA. 1998. A phylogenomic study of the MutS family of proteins. Eisen MB et al., 1998. Cluster analysis and display of genome-wide expression patterns. Hodgkin AL, 1958. Croonian Lecture, Ionic movements and electrical activity in giant nerve fibres. In the discussions, the physicists and biologists are encouraged to explain what they understand and recognize to each other. The course includes problems (little projects, really) that require both some biological insight and some analysis, often a simple simulation that can easily be done in Matlab. The primary goal: facilitate communication across disciplinary lines

9. Princeton Center Presentations • Greg Lang • Hilary Coller • Poster session: Eric Suh (Coller Lab)