Computation and Data Analysis in Biology and Information Sciences

Spring 2009

Spring 2009 Schedule

February 5
Maximum entropy models for biological networks
Bill Bialek, Physics, LSI, Princeton University
February 12

From one genome to many: how cheap sequencing is changing genomics
Mihai Pop, Computer Science, University of Maryland

February 19

Combinatorial Statistics of Gene Clusters
Laxmi Parida, IBM Research

February 26

Physical Approaches to Cytoskeletal Self-Organization
Konstantin Doubrovinski, Molecular Biology, Princeton University

March 5

How to search a network of negative information
Joel Bader, Biomedical Engineering, Johns Hopkins University

March 12

Protein Quantification Across Hundreds of Experiments: Efficient Algorithms for LC-MS Data Analysis
Zia Khan, Computer Science, Princeton University

March 19

No Seminar --- Spring Break

March 26
Identity by descent within and between human populations
Itsik Pe’er, Computer Science, Columbia University
April 2

Reconstructing Mammalian Gene Family Evolution
Craig Nelson, Molecular and Cell Biology, University of Connecticut

April 9

No Seminar

April 16
Towards DNA Barcoding for Rapid Pathogen Detection
Lance Palmer, Siemens Research
April 23
Decoding cancer metastasis: novel insights from functional genomics
Yibin Kang, Molecular Biology, Princeton University
April 30
Protein Sequence Database Searches Using Compositionally Adjusted Amino Acid Substitution Matrices
Stephen Altschul, Computational Biology, NIH
THURSDAYS, 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.  

PICASSO MAILING LIST
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 https://lists.cs.princeton.edu/mailman/listinfo/picasso. This page also contains information on how to UNSUBSCRIBE.