Computation and Data Analysis in Biology and Information Sciences

Fall 2006 & Spring 2007

Fall 2006

September 20

Learning of Predictive Models of Global Transcriptional Dynamics with Application to the Extreemophile Halobacterium NRC-1
Richard Bonneau, Asst. Prof. Department of Biology/Computer Science, New York University

September 27

Protein Modeling in the Structural Genomics Era
Donald Petrey, Center for Computational Biology and Bioinformatics (Honig Lab), Columbia University

October 4

Gene Hierarchies from High-Dimensional Phenotyping
Florian Markowetz, Lewis-Sigler Institute, Princeton University

October 11

Modeling Science: Topic models of Scientific Journals and Other Large Text Databases
David Blei, Computer Science, Princeton University
**Room Change: 302 Computer Science Building

October 18

Computational Modeling of Malarial Parasite Protein Interactions Reveals Function on a Genome-Wide Scale
Chris Stoeckert, Department of Genetics, Center for Bioinformatics, University of Pennsylvania

October 25

Terry Gaasterland, Scripps Genome Center, University of California – San Diego

November 1

No Seminar --- Fall Break

November 8
Multiscale Modeling of Macromolecular-Assembly Networks
Jose Vilar, Computational Biology Center, Memorial Sloan-Kettering Cancer Center
November 15

Finding Informative Regulatory Elements
Noam Slonim, Lewis-Sigler Institute, Princeton University

November 22

From Properties of Cellular Networks to Protein Function
Dennis Vitkup, Center for Computational Biology and Bioinformatics, Columbia University

November 29

Analyzing Protein Interaction Networks
Mona Singh, Computer Science, Lewis-Sigler Institute, Princeton University

December 6

Prediction and Analysis of Protein and Domain Interactions
Teresa Przytycka, Computational Biology, NIH

December 13

Depletion of Feedback Loops in Large Scale Biological Networks
Guillermo Cecchi, Computational Biology Center, IBM

Spring 2007
February 7

Signaling and the Single Cell
Stuart Sealfon, Translational Systems Biology, Mount Sinai School of Medicine

February 14

Computational Functional Genomics or "What to do with all this Data?"
Olga Troyanskaya, Computer Science & Lewis Sigler Institute, Princeton University

February 21

MicroRNA Target and Gene Prediction: A Computational Approach with Experimental Support
Artemis G. Hatzigeorgiou, Department of Genetics, University of Pennsylvania

February 28

Prediction of Transcription Terminators in Prokaryote
Carl Kingsford, Center for Bioinformatics & Computational Biology, University of Maryland

March 7

A Tale of Histone Tails
Tamar Schlick, Chemistry, Mathematics, and Computer Sciences, New York University

March 14

Predictions and Validation of a Model for the Oscillatory Response of P53 to DNA Damage
Gustavo Stolovitzky, Functional Genomics & Systems Biology, IBM

March 21

No Seminar --- Spring Break

March 28

Computational Inference of Genetic Regulatory Networks in Human Cancer Cells
Adam Margolin, Computer Science, Columbia University

April 4

No Seminar --- Passover

April 11

Detangling Scrambled Genes and Genomes
Laura Landweber, Ecology & Evolutionary Biology, Princeton University

April 18

Systems Biology of Bacterial Chemotaxis: A Story of Macromolecular Complexes
Robert G. Endres
, Molecular Biology, Princeton University

April 25

Simultaneous Model Selection via Rate-Distortion Theory, with Applications to Clustering and Significance Analysis of Gene Expression Data
Rebecka Jornsten, Statistics, Rutgers University

May 2

Predicting the Course of Evolution: The Problem of Metazoan Segmentation
Eric Siggia, Center for Studies in Physics and Biology, Rockefeller University

WEDNESDAYS, Computer Science Building, Room 402 (unless otherwise noted)
Seminars begin ~12:30 p.m., Lunch will be provided ~12:20 p.m.
These seminars are partially supported by the Princeton Institute for Computational Science and Engineering (PICSciE)

PICASso "Successes" Seminar

Presentations will usually be given by local students and postdoctoral researchers, leading researchers are periodically invited to present special sessions about key "Successes of Computational Science" in their field; i.e., areas of success in the science that could not have been (or easily been) achieved without computational science. These seminars are indicated with a key icon.

 PICASso Research Seminar

Graduate students, post-docs and young faculty present overviews of their research projects and/or tutorials on computational methods they are using.  

If you would like to be kept informed of computationally-oriented events in (and around) Princeton, please SUBSCRIBE to the PICASso mailing list by visiting This page also contains information on how to UNSUBSCRIBE.