BioInformatics training course in Portugal

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BioInformatics training course in Portugal

gabygm
Applications are open till  May 15th

http://gtpb.igc.gulbenkian.pt/bicourses/SMLMC14/

Course description

One of the major challenges in structural biology is to determine the structures of macromolecular complexes and to understand their function and mechanism of action. However, structural characterization of macromolecular assemblies is very difficult. To begin addressing this problem, we have developed PyRy3D.
In a nutshell, PyRy3D employs a hybrid computational approach that incorporates spatial information from a variety of experimental methods into the modelling procedure to build low-resolution models of large macromolecular complexes. The PyRy3D model building procedure uses a Monte Carlo approach to sample the solutions-space. It uses spatial restraints to define components interacting with each other, and a simple scoring function is applied to pack them tightly into contours of the entire complex (e.g. cryoEM density maps).
Target Audience

The course is oriented to structural biologists and bioinformaticians interested in modeling of multi-subunit biological complexes, mainly at the graduate and post-graduate levels. Minimal computational skills are required. We anticipate that this course is attended by people with a rather wide variety of interests in biological complex structures, and that will make its delivery more challenging, while ensuring richer experiences to the participants. It is likely that they may also aim at getting involved in generating their own structural models for complexes of their interest, but that does not have to be the case for all the participants: they may, for example, just want to explore publicly available data.

Course Pre-requisites

Graduate level knowledge in the Life Sciences. Minimum familiarity with Linux command line level usage is useful, but NOT strictly required. Scripting in Python is also useful, to enable the discovery of the full potential usage of the techniques. Basic understanding of molecular biology and no particular computing expertise will be assumed.

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