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Invitation to participate in the

14th Bioinformatics Spring School

Bertinoro, Italy

22.03. - 26.03. 2014

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Outline of the Course

The 14th edition of the Spring School of Bioinformatics for Molecular Biologists will be held from 22nd through 26th of March 2014. It is organized by the Institute of Bioinformatics and Systems Biology of the Helmholtz Centre München (IBIS). The course is part of the HMGU Ph.D. programme (Graduate School) but also open to other Ph.D. students and post-graduates.

Experiments generate data and from data information is extracted. The experimental design today is –omics driven, generates massive amounts of data and faces a serious challenge of a systemic, rationale, and reproducible approach to analyse and translate raw data into biological information.

Even a simple biological system such as a prokaryotic cell consists of thousands of variables describing the cellular information, their values are conditionally dependent from genetics, regulatory processes and the environment. To answer any question about function and malfunction of biological systems requires not only the observation of data but also their interpretation in the context of any related biological knowledge.

Bioinformatics provides the tools to manage, analyse and evaluate biological data. Systems Biology compiles, parameterizes and quantifies abstract models mostly represented as network graphs. Directed edges represent causal dependencies, but causality linking correlating states is very difficult to catch. As said by Dennis Noble “there is no single level of causality”. We face an unexpected complexity; we do not find simple answers to our questions. The clue, why we suffer from diseases and how to cure them

is hard to find, and we are often biased by established but misleading assumptions. And sometimes we do not even know if there is any such simple clue. Knowing and understanding the methods, ideas and tools to analyse data for your work will not only help to stay efficient and competitive using bioinformatics tools but also elucidate their power and limitations.

The course will give a fresh look on the data and what can be done in terms of “omics”, sequences, systems biology and even the basic foundations of the way we generate, analyse and interpret data. What is the role of algorithms, models, and the biological knowledge? Why do we need network analysis and what are the main tools that we need for generating our next publication?

These days, nobody can follow his own field of interest by reading the publications. We all are aware that life science is now data driven, we face a tsunami of highly complex information from different omics-technologies as well as medical and clinical information. Not only management of the data and running sequence similarity searches are black boxes to many biologists, but the fundamental question how to transform data into knowledge must become part of the strategy of almost any Ph.D. project.

Having an intuitive look at the data cannot perform the exploration of the experiment while ignoring the existing knowledge. Often, “the more the better” in data collection comes first and the nightmare of data analysis follows. The course will try to demystify “computational biology”, it will introduce basic principles and advances of bioinformatics and systems biology and, at the same time, foster

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interdisciplinary ideas and stimulate discussion between experts and students. An open discussion on the world of data we live in and how we will perform our work in the future in distributed teams will be part of the course.

Expert faculty members will introduce the basics in tutorials but also discuss new developments in the interdisciplinary fields of Bioinformatics and Systems Biology. The concept of the course is tailored for Molecular Biologists and aims to support the important dialogue between the experimentalist

interested in a specific biological problem and the theoretician eager to solve problems in a generic, reusable way.

The course aims to provide a head start in this important interdisciplinary field by presenting basic concepts as well as recent applications. The intended audience are Ph.D. students and junior scientists. Its main subjects will be the integration of information, biological networks, and concepts in Systems Biology. The course is supported by the Helmholtz Graduate School (HELENA).

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Prerequisites for participation: Participants should have some very basic knowledge in bioinformatics, basic knowledge of genome structure, and be familiar with the very basics of molecular databases. There are no formal requirements. Fee and registration: Ca. ! 650 (including tuition, course material, room and board for the whole duration of the event, bus transfer from Munich/Neuherberg to Bertinoro). The course fee for HELENA Graduate School students will be covered by the respective Graduate Schools.

Registration: Please register as soon as possible since the number of available places is limited (30)! Please distribute this invitation to all interested Ph.D. students and young scientists.

For reservations please contact the Secretariat of the Helmholtz-Institute for Bioinformatics and Systems Biology (ibis.office@helmholtz-muenchen.de).

Location: Bertinoro, Italy (close to Forli, about 40 km from Bologna)

Transport: A bus will be organized from Munich to Bertinoro leaving in the morning of

the 22nd of March.

Course Schedule and additional information:

See www.helmholtz-muenchen.de/en/ibis/institute/events/spring-school-2014

DIRECTOR:

Prof. Dr. H.W. Mewes (Helmholtz Zentrum München and TU München)

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