Seminar

Carol Vandenberg Seminar (MCB101, from 2006-04-28 12:00 to 2006-04-28 13:00)

UC, Santa Barbara “Trafficking and Targeting of Potassium Channels by PDZ – Based Signaling Complexes” Host: Don Arnold

Vincent Plagnol Defense (MCB101, from 2006-04-21 11:00 to 2006-04-21 12:00)

“Evidence for Ancestral Structure in Human Populations” Advisor: Simon Tavaré

Jian-Qiu Wu Seminar (MCB101, from 2006-05-02 12:00 to 2006-05-02 13:00)

Yale University, “The Great Divide: Molecular Mechanisms of Cytokinesis” , Host: Susan Forsburg

Petr Kalab Seminar (MCB101, from 2006-05-04 12:00 to 2006-05-04 13:00)

UC, Berkeley “Quantitative and Functional Analysis of Mitotic Ran-Regulated Gradient in Somatic Cells” Host: Don Arnold

Emily Rocke Seminar (MCB101, from 2006-09-14 14:00 to 2006-09-14 15:00)

Using Distribution Patterns to Infer Function of a Regulatory Motif, Host: Michael Waterman - Comp Bio

Dan Herschlag Seminar (SGM101, from 2006-09-08 12:00 to 2006-09-08 13:00)

Dissecting Ribozyme Mechanisms: Lessons Learned about RNA and Catalysis, Stanford University Host: Myron Goodman

Diane Papazian, UCLA (MCB101, from 2006-09-15 12:20 to 2006-09-15 13:20)

Voltage-Gated Potassium Channels and Neuronal Survival During Development and Aging in Spinocerebellar Ataxia Type 13, Host: Don Arnold - Mol Bio

Hongyu Zhang Seminar (MCB101, from 2006-09-21 14:00 to 2006-09-21 15:00)

Computational Biologist, Ceres “Guided Discovery; Computational Biology’s Roles in the Biotech Industry” Biotech researches are traditionally performed in wet labs and are heavily dependent on the knowledge and skills of bench work scientists. With computational algorithms becoming more sophisticated and biological information more abundant in references as time moves on, computational scientists now have more chances to play leading roles in the researches in the biotech industry. Computational tools and analyses are useful at the early stages of researches to effectively guide the following experimental steps to save both time and money. Computational analyses performed during or after the experiment are also critical to manage and make sense of the experimental data. As examples, I would like to describe some of my projects in biotech companies, including works in gene discovery, comparative genomics and patent protection etc. Host: Fengzhu Sun

Gad Kimmel Seminar (MCB101, from 2006-10-26 14:00 to 2006-10-26 15:00)

UC, Berkeley “A Fast Method for Computing High Significance Disease Association in Large Population-Based Studies”

Andrew Smith Seminar (RRI 101, from 2008-02-12 14:00 to 2008-02-12 15:00)

Meeting Computational Challenges in ChIP-chip and ChIP-seq Data Analysis

Rob Phillips Seminar (MCB101, from 2006-09-07 14:00 to 2006-09-07 15:00)

“The Physics of Genome Management”

Zemin Zhang Seminar (RRI 101, from 2007-09-27 14:00 to 2007-09-27 15:00)

Genetech, “Computational Approaches to Distinguishing Deviants from Variants in the Cancer Genome”

Florian Markowetz Seminar (RRI 101, from 2008-02-07 14:00 to 2008-02-07 15:00)

Computational Methods to Analyze Large-Scale & High-Dimensional Gene Pertubation Screens