Quantitative Systems Biology (2017)--Winter School / ICTS, Bengaluru

source: International Centre for Theoretical Sciences    2017年12月18日
Winter School on Quantitative Systems Biology
DATE: 04 December 2017 to 22 December 2017
VENUE: Ramanujan Lecture Hall, ICTS, Bengaluru
The International Centre for Theoretical Sciences (ICTS) and the Abdus Salam International Centre for Theoretical Physics (ICTP), are organizing a Winter School on Quantitative Systems Biology (QSB2017) from 4th to 22nd December 2017, as part of the ICTP - ICTS Programme in Biology. This is the sixth school in the series on Quantitative Systems Biology, held alternately at Trieste & Bengaluru. QSB2017 will be hosted in the ICTS campus in Bengaluru.

The School is targeted towards young researchers, particularly those at the PhD and post-doctoral level with backgrounds in the physical and mathematical sciences and engineering, who are working in biology or hope to do so. It 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. The main school will be preceded by an intensive one-week pre-school (4th to 9th December 2017) targeted to non-biologists.
QSB2017 is focused on biological evolution. Evolutionary processes shape diversity at all levels of biological organization, ranging from networks of interacting molecules in a cell to species and the community level. In the recent years, new methods and approaches have allowed to gain insight on evolutionary processes in real time, either via long-term evolution experiments or by high-resolution lineage tracking. New unexpected phenomena have been discovered, like the CRISPR bacterial immune system, while lineage-tracking has been used to understand evolutionary processes in the organisms, such as stem cell fates. This is a setting that is fertile for quantitative work, both theoretical and experimental. The courses will provide an intensive background to the specific topics before turning towards cutting-edge research.

Topics include
Bacterial and viral evolution: Viral evolution (HIV and flu), Evolution strategies in bacteria, Microbial ecology and game theory
Evolution at the organism level: Protein folding and evolution, Clonal analysis via barcodes, Stem-cell fate and clonal analysis, Immunology and clonal analysis, Genome evolution, Evolutionary developmental biology (evo-devo), Genetic and developmental basis of evolutionary change.
Mechanisms and strategies of evolution: Adaptation as a stochastic process, Evolution of variability, Evolution of mutation rates, Evolution of biological networks, Evolution without natural selection, Learning as an evolutionary process.
Scientists and students from all over the world can apply for the School. Researchers from developing countries are particularly encouraged to apply. As the program will be conducted in English, participants should have an adequate working knowledge of this language. The subsistence expenses of all selected outstation participants will be borne by the School. As a rule, travel expenses of the participants should be borne by the home institution. Every effort should be made by the candidates to secure support for their fare. However, limited funds are available for some participants. Selected participants are expected to attend the entire main school. Selection for the main school automatically guarantees selection for the pre-school, but attending the pre-school is not compulsory. There is no registration fee.

Sidhartha Goyal (Univ Toronto)
Kavita Jain (JNCASR Bengaluru)
Luca Peliti (IAS Princeton)
Mukund Thattai (NCBS Bengaluru)

Vijay Balasubramanian (UPenn)
Antonio Celani (ICTP Trieste)
Sanjay Jain (Univ Delhi)
Vijay Krishnamurthy (ICTS Bengaluru, Local organizer)
Matteo Marsili (ICTP Trieste)

Jamie Blundell (Stanford)
Lucy Colwell (Cambridge)
Paul Francois (McGill)
Sergei Gavrilets (Tennessee)
Jeff Gore (MIT)
Michael Lynch (Indiana)
Harmit Malik (Fred Hutch)
Richard Neher (MPI Tubingen)
Erik van Nimwegen (Basel)
Paul Rainey (ESPCI Paris)
John Reinitz (Chicago)
Paul Sniegowski (UPenn)

1:44:32 Looking at Evolution by Vidyanand Nanjundiah
1:38:42 Introduction to game theory by Matteo Marsili
1:21:37 How quantitative genetics blackboxes the genotype-phenotype map by Amitabh Joshi
1:16:47 Evolutionary thought between Darwin and the Neo-Darwinian Synthesis by Amitabh Joshi
1:25:25 Probability and Random variables by VijayKumar Krishnamurthy
1:26:24 Introduction to population genetics (Lecture - 01) by Kavita Jain
1:33:20 Population Genetics and Evolution – I: The Mechanisms of Evolution: by Luca Peliti
1:33:47 Bayesian inference by John Reinitz
1:27:31 Introduction to po pulation genetics (Lecture – 02) by Kavita Jain
10 1:28:17 Population Genetics and Evolution – II by Luca Peliti
11 1:32:43 Stochastic processes by VijayKumar Krishnamurthy
12 1:31:53 Max Likelihood by John Reinitz
13 1:31:38 Multilocus genetics by Kavita Jain
14 1:37:58 Population Genetics and Evolution – III: Speed of Adaptation - The Coalescent by Luca Peliti
15 1:29:02 Using stochastic chemical kinetic models to explore... (Lecture - 01) by Mukund Thattai
16 1:35:27 Using stochastic chemical kinetic models to explore... (Lecture - 02) by Mukund Thattai
17 1:38:21 Evolutionary game theory by Matteo Marsili
18 1:32:06 P-values/Confidence Intervals by John Reinitz
19 1:25:32 Canalization and Evolution: Canalization in {\em trans}: error correction in embryos by John Reinitz
20 1:37:08 Genetic conflicts between and within genomes (Lecture - 01) by Harmit Malik
21 1:32:08 Informative Experimental problem (II): Functional Conservation in S2Es... by John Reinitz
22 1:40:23 Protein evolution (Lecture - 01) by Lucy Colwell
23 1:39:20 Structure, function, and evolution of gene regulatory networks by Erik van Nimwegen
24 1:36:21 Genetic conflicts between and within genomes (Lecture - 02) by Harmit Malik
25 1:32:28 Canalization and Evolution: Canalization and adaptation by John Reinitz
26 1:38:32 Protein evolution - (Lecture - 02) by Lucy Colwell
27 1:33:24 Genetic conflicts between and within genomes ( Lecture - 03) by Harmit Malik
28 1:40:57 Protein evolution (Lecture - 03) by Lucy Colwell
29 1:31:38 Structure, function, and evolution of gene regulatory networks by Erik van Nimwegen
30 1:33:58 Where does gene regulation come from? by Erik van Nimwegen
31 1:27:36 Structure, function, and evolution of gene regulatory networks... (Topic 5) by Erik van Nimwegen
32 1:27:35 The evolution of rapidly evolving RNA viruses by Richard Neher
33 1:26:22 Lab evolution with e coli and yeast. Mutators and their fate (Lecture - 1) by Paul Sniegowski
34 1:38:37 Population dynamics by Jeff Gore
35 1:44:01 Population genetic models of rapid adaptation by Richard Neher
36 1:36:34 Lab evolution with e coli and yeast (Lecture - 02) by Paul Sniegowski
37 1:31:51 Cooperation and cheating in microbial populations by Jeff Gore
38 1:28:21 Models of speciation ( Lecture - 01) by Sergey Gavrilets
39 1:30:05 Network evolution in Immune system and Development (Lecture – 01) by Paul François
40 1:29:42 Systems ecology by Jeff Gore
41 1:28:51 Models of speciation (Lecture - 02) by Sergey Gavrilets
42 1:23:20 Models of speciation (Lecture - 03) by Sergey Gavrilets
43 1:32:31 Lab evolution with e coli and yeast. Mutators and their fate (Lecture - 03) by Paul Sniegowski
44 1:29:17 Network evolution in Immune system and Development (Lecture - 02) by Paul François
45 1:43:35 Applied evolutionary biology:tracking and predicting the spread of disease by Richard Neher
46 1:33:36 Network evolution in Immune system and Development (Lecture - 03) by Paul François
47 1:29:13 Untangling the hairball of immune interaction networks by Paul François

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