CNLS q-bio Seminars

This weekly series of seminars aims to advance predictive modeling of cellular regulation, decision making, and other information processing phenomena. The emphasis is on deep theoretical understanding, detailed modeling, and quantitative experimentation directed at understanding the behavior of particular regulatory systems and/or elucidating general principles of cellular information processing. The seminar series has the same scientific and educational goals as the q-bio Conference and Summer School. CNLS also sponsors a monthly series of q-bio public lectures, which are aimed at disseminating biological knowledge gained through quantitative experimentation and mathematical, computational, and/or statistical analyses of data.

Logistics

• Time: Tuesday, 2:00-3:00 PM.
• Place: CNLS Conference Room, Building 1690, TA-3, Los Alamos National Laboratory

Schedule

• Past Seminars

• Fall 2010

• October 19, 2010: Tudor Oprea, University of New Mexico, Computer-Aided Drug Repurposing

  October 26, 2010: Bette Korber, T-6, LANL, Variability in HIV Vaccine Design

  November 2, 2010: Yunzhou Sophia Shi, Purdue University Nanomedicine and chemical imaging approaches for traumatic spinal cord injury

  November 8, 2010: Rajan Lamichhane, Wayne State University Study of protein-RNA interactions by using fluorescence resonance energy transfer (FRET) and single-molecule FRET (smFRET) Special Time: Monday at 11:00-12:00

  November 16, 2010: Geoffrey Waldo, LANL. Special Time: 3:00-4:00pm

  November 23, 2010: No Seminar Thanksgiving week

  November 30, 2010: TBA

  December 7, 2010: TBA

  December 14, 2010: TBA

• Future Seminars

Organizers

• S. "Gnana" Gnanakaran, Los Alamos National Laboratory
• William S. Hlavacek, Los Alamos National Laboratory
• Yi Jiang, Los Alamos National Laboratory
• Brian Munsky, Los Alamos National Laboratory
• Janet M. Oliver, University of New Mexico
• Bridget S. Wilson, University of New Mexico
• Anton Zilman, Los Alamos National Laboratory

Sponsor

• Center for Nonlinear Studies (CNLS)