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Sommerakademien der deutschen Stiftung - Studienstiftung.ch

Sommerakademien der deutschen Stiftung - Studienstiftung.ch

Sommerakademien der deutschen Stiftung - Studienstiftung.ch

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Arbeitsgruppe 2<br />

Towards Integrative Biology – Computational and<br />

statistical Approa<strong>ch</strong>es in the ‘Big-Data’ Era<br />

Biological sciences are currently un<strong>der</strong>going a transformation from a largely descriptive<br />

to a quantitative science. Novel te<strong>ch</strong>nologies generate vast amounts of data on hundreds<br />

of thousands of biomolecules at increasing levels of temporal and spatial resolution. This<br />

data is beginning to reveal the complex multi-layered nature of cellular regulation, consisting<br />

of interacting networks of proteins, RNA, metabolites and DNA. In addition, substantial<br />

variation in the behaviour of these networks is being uncovered between tissues,<br />

cancerous and non-cancerous cells, and also between individuals. Mathematical, computational,<br />

and statistical models to analyse this data are still in their infancy. There is thus<br />

an urgent need for new approa<strong>ch</strong>es that deal with the data to uncover the basic principles<br />

whi<strong>ch</strong> un<strong>der</strong>ly the complexity and variety of life, and that pave the path to take biology<br />

from a largely descriptive to a quantitative science. This transformation will impact almost<br />

every aspect of industry and human endeavour, from agriculture to pharmaceuticals, to<br />

healthcare, to environmental management, to <strong>ch</strong>emical engineering. As part of the summer<br />

s<strong>ch</strong>ool we will introduce state-of-the-art tools and approa<strong>ch</strong>es and outline key <strong>ch</strong>allenges<br />

for further resear<strong>ch</strong>.<br />

Leitung<br />

Teilnehmer<br />

Literatur<br />

Prof. Dr. Dr. Dagmar Iber<br />

Department of Biosystems Science and Engineering, ETH Züri<strong>ch</strong><br />

Dr. La<strong>ch</strong>lan J. Coin<br />

Senior Lecturer in Statistical Genomics, S<strong>ch</strong>ool of Public Health,<br />

Imperial College London<br />

Studierende aller quantitativen Fä<strong>ch</strong>er (Physik, Mathematik, Computer-<br />

und Ingenieurwissens<strong>ch</strong>aften, Computational Biology,<br />

Bioinformatik); mathematis<strong>ch</strong>e Grundlagen werden vorausgesetzt<br />

Encode Project Consortium et al., An Integrated Encyclopedia of<br />

DNA Elements in the Human Genome, in: Nature 489, 2012, S.<br />

57-74.<br />

The 1000 Genomes Project Consortium. A Map of Human Genome<br />

Variation from Population-Scale Sequencing, in: Nature 467,<br />

2010, S. 1061-1073.<br />

Jaqaman, K./Danuser, G., Linking Data to Models. Data Regression,<br />

in: Nature Review Molecular Cell Biology 7, 2006, S.813-819.<br />

Tyson, J. et al., Sniffers, Buzzers, Toggles and Blinkers. Dynamics<br />

of Regulatory and Signaling Pathways in the Cell, in: Current Opinions<br />

in Cell Biology 15, 2003, S. 221-231.<br />

Akademie VI St. Johann 65

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