Quantitative Systems Biology (2013, ICTP-ICTS Winter School)

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source: International Centre for Theoretical Sciences   2014年1月23日
ICTS Program: ICTP-ICTS WINTER SCHOOL ON QUANTITATIVE SYSTEMS BIOLOGY
DATES: Monday 09 Dec, 2013 - Friday 20 Dec, 2013
VENUE: Biological Sciences auditorium, IISc Campus, Bangalore
PROGRAM LINK http://www.icts.res.in/program/QSB2013
Biology is undergoing a revolution. Advances in experimental techniques are providing data of unprecedented quality and detail on the mechanisms that operate in living systems, at scales ranging from molecules and molecular networks, to organisms, populations and ecosystems. It is clear that new theoretical and mathematical approaches are required if we are to learn from this flood of data. In response to this need, a large number of researchers from mathematics, physics and engineering are growing interested in biological problems. However, biology presents high barriers to entry: the sheer breadth of biological phenomenology, the rapid progress of the field, and a language of scientific discourse often inaccessible to the outsider. The ICTP-ICTS Winter School in Quantitative Systems Biology 2013, targeted at participants with quantitative backgrounds, is intended to help overcome these barriers.
Both ICTP and ICTS have a successful track record of providing researchers access to the forefront of scientific research. The Winter School will build on the shared experience of both institutions. Targeting young researchers, particularly those at the PhD and post-doctoral level with quantitative backgrounds, the School will give participants a broad introduction to open problems in modern biology, and provide pedagogical instruction on new quantitative approaches being used to address those problems. Lectures by internationally-recognized leaders in the field will be supplemented by tutorials on basic topics, and hands-on sessions designed to extend the pedagogical material.

Mukund Thattai - Prokaryotic genetic networks 1:20:19
Edward Cox - Cell motion and cooperation I 1:27:28
Mukund Thattai - Eukaryotic intracellular traffic networks 1:30:54
Boris Shraiman - Statistical genetics and evolution I 1:27:44
Edward Cox - Cell motion and cooperation II 1:29:15
Robert Phillips - A feeling for the numbers in Biology 1:26:24
Boris Shraiman - Statistical genetics and evolution II 1:27:20
Boris Shraiman - Statistical genetics and evolution III 1:09:58
Robert Phillips - Theory Experiment interactions in biology 57:37
Robert Phillips - Napoleon is in equilibrium 1:20:25
Arthur Lander - Pattern formation 1:38:08
Edward Cox - Cell motion and cooperation III 1:34:43
Arthur Lander - Control of Growth 1:39:58
Robert Phillips - Signaling and biology's greatest model 1:30:04
Arthur Lander - Special challenges of big data in biology 1:46:15
Michele Vendruscolo - Protein function and disfunction I 1:37:34
Antonio Celani - Chemosensing 1:34:41
Michele Vendrus - coloProtein function and disfunction II 1:46:41
Michele Vendruscolo - Protein function and disfunction III 1:21:57
Antonio Celani - Chemotaxis I 1:37:05
Eytan Domany - Outcome prediction in Breast Cancer 1:41:09
Anirvan Sengupta - Model selection for large datasets I 1:37:50
Antonio Celani - Chemotaxis II 1:31:03
Antonio Celani - Chemotaxis III 1:25:16
Eytan Domany - Dynamics of transcriptional response 1:09:39
Anirvan Sengupta - Model selection for large datasets II 1:18:54
Eytan Domany - Moving from Physics to Biology 1:42:46
Anirvan Sengupta - Model selection for large datasets III 1:22:41