TWO-WEEK SEASONAL SCHOOL ON "BIOLOGICAL COMPLEXITY AND MODELING"
This School focuses on biological networks and the modeling
of complex biological systems in the context of genomics. As the number of
scientists who join this emerging field is fast increasing, their population is
now heterogeneous with respect to original background, to level of
interdisciplinary experience, and to knowledge of the field. This School aims
at covering the needs of this heterogeneous population, with an emphasis on
junior researchers. It is intended for scientists with various backgrounds,
including biologists, computer scientists, mathematicians, chemists and
physicists. It is by no means a coincidence that the lecturers originate from
these various fields.
You are invited to
attend the whole two-week School, or only one of its two one-week components. Each of the two weeks has a style
of its own, yet there is a continuity between them. The first week is more
generalist than the second one and encompasses from modeling to the
physico-chemistry of Life via the new field of synthetic biology. The second
week covers in further details some of the material presented during the first
week, with an increased 'network' slant. Participants of the first week may
need to deepen some of the acquired notions during the second week.
Participants of the second week may need to anchor this high-level but more
fragmented knowledge into a wider view that provides missing links, as proposed
during the first week.
Please register
separately to each week by following the corresponding links shown below. The
registration fees for the second week are 50% lower for registrants of the
first week. For more detailed information visit the event's website.
"Modeling Complex Biological Systems in the Context of Genomics"
April 30 - May 4, 2007
The post-genomic
era of biology is characterised by a deluge of molecular data about the cell. This
`new' biology has its own vocabulary of genome, transcriptome, proteome and
even metabolome, interactome and lipidome. The challenge is to make sense out
of this information by coming up with a new integrated picture of the cell
which takes into account that it is simultaneously an autocatalytic set, a
tensegrity structure, a network or a set of networks with particular
connectivities and feedback characteristics, a set of codes and decoding
devices, a self- organising system based on phase transitions, membrane
physics, water structures and a host of physico-chemical properties of ions,
polymers and other cellular constituents, a multi-level society adapted to the
vagaries of an environment that can vary rapidly from heaven to hell ... and so
on. Taking on this challenge therefore also requires the introduction of
concepts unfamiliar to biologists and the development of new ones, the
formulation of new hypotheses and their testing via simulations or wet
experiments.
Taking on this
challenge therefore requires specialists from across the sciences to learn each
other's language so as to collaborate effectively on defined projects. The
Systems in the Context of Genomics" has been set up to help this research
effort. It is widely open to graduate, post-graduate and experienced
researchers.
TOPICS:
Biological modeling
Formal methods and regulatory networks
Meta-genome and synthetic biology
Programmable Artificial Cell Evolution
Physico-chemistry of Life
SPEAKERS:
Alessandra CARBONE, Université Pierre et Marie Curie, INSERM U511 (F)
http://www.ihes.fr/~carbone
Chris CHIPOT, Institut nancéien de chimie moléculaire - Université Henri
Poincaré - Nancy I (F)
Hidde DE JONG, The Helix Research Group, INRIA Rhône-Alpes (F)
Jacques DEMONGEOT, Univ. Joseph Fourier
http://www.ujf-grenoble.fr/406
Albert GOLDBETER, Faculté des Sciences, Université Libre de Bruxelles,
Brussels (B)
Michel JACQUET, IGM, Université PARIS-SUD, Orsay (F)
Kristian LINDGREN, Chalmers
of
(SE)
Reinhard LIPOWSKY, Max Planck Institute für Kolloid- und
Grenzflächenforschung, Potsdam, (D)
John McCASKILL, BIOMIP -
Philippe MARLIERE, Genoscope, Evry, (F)
Eric SACKMANN,
State Univ. -
of
Laurent TRILLING, Univ. Joseph Fourier Grenoble I, IMAG-LSR (F)
http://www.ruhr-uni-bochum.de
Jean WEISSENBACH, Genoscope, Evry (F)
Michael YUDKIN,
(
Second week: Advanced Course on
"Complexity of Biological Networks"
May 7 - May 11, 2007
Various types of
biological networks will be covered with some methodological counterparts, one
per day. The spirit of the School is very interdisciplinary, with lectures in
any single day covering a diversity of viewpoints on a single, albeit
wide-ranging, topic. It also puts some emphasis on a transversal view cutting
across subfields within biology. The pedagogic goal of this Training Course is
to bring the audience to top level in the above-defined field of investigation.
To reach this goal, world- renowned specialists from the target field deliver
36 hours of lectures and question / answer sessions. Some practical tutorials
will be presented during the last day. Care is exercised to allow for ample
informal discussions between and among lecturers and participants, so that the
Advanced Course also acts as a melting pot and gives a chance to individual
training arrangements.
We anticipate
that participants will typically range from the doctoral and early-stage
postdoctoral fellow to the young principal investigator. They will be selected
by the Scientific Board on the basis of an initial high/medium skill on
biological networks.
TOPICS:
Methodologies of Analysis of Biological Networks
Neuronal networks
Immunological networks
Regulatory networks
Metabolic networks
SPEAKERS:
Markus KIRKILIONIS, Centre for Scientific Computing, University of
http://www2.warwick.ac.uk/fac/sci/csc/people/members/markus_kirkilionis/
James SMITH, Dept. of Statistics,
of Warwick
Michael STUMPF, Center for Bioinformatics,
Yves FREGNAC, Unité de Neurosciences Intégratives et
Computationnelles, Institut de Neurobiologie Alfred Fessard, Gif, F
www.unic.cnrs-gif.fr/equipes/eqYF/equipe-yf.htm
Wolf SINGER, Max Planck Institute for Brain Research - FIAS,
Robin CALLARD,
Jorge CARNEIRO, Theoretical Immunology Group, Gulbenkian Institute of
Science, Oeiras, PT
http://eao.igc.gulbenkian.pt/ti/Gente/Jorge/index.html
Rob SEYMOUR, Dept. of Mathematics, CoMPLEX,
Edda KLIPP, Max-Planck Institute for Molecular Genetics, 14195
Karl KUCHLER, Campus
Biocenter, AU
Dieter OESTERHELT, Max Planck Institute for Biochemistry, Martinsried, D
Csaba PAL, Eotvos Lorand Univ.,
HU
Marius UEFFING,
of
Munich-Neuherberg, D
David FELL,
