This course intends to present useful computer tools and techniques for young researchers in biology that substantially extend basic computer knowledge acquired at undergraduate levels. The course concentrates on GNU/Linux environment and tools because it is powerful, free and easy to install in any kind of computer. Moreover, most of the computer clusters available for scientists run Linux.
The course is intended for beginners and for more advanced people, its level of complexity increasing through the four days. Basic knowledge in computing and programming is a plus but is not mandatory. The first part of the course will consist in learning the basic of GNU/Linux: installation of the environment, useful shell commands to work with text files, simple command lines and the use of regular expressions, pipes, and short scripts. The second part will consist in developing more complex scripts, as well as exercises using a computer cluster.
The training will provide a minimal theoretical basis in each of the topics listed below and concentrate on practical aspects through numerous applications. It will confer a working autonomy to solve problems while handling data and conducting data analyses pertinent to the researcher in biology.

Descriptif

Ce stage permet aux étudiant(e)s d'acquérir les connaissances de base en génétique des populations par l'analyse sur ordinateur de jeux de données moléculaires fournis par les enseignants. Le travail pratique consiste à effectuer les diverses étapes d'une étude de la structure génétique des populations: manipulation des données, analyses à l'aide des logiciels couramment utilisés en génétique des populations, interprétation des résultats. Les notions théoriques sont introduites au début de chaque séance et approfondies au cours du travail pratique. Plusieurs conférences sont également données pendant le stage par des chercheurs invités. Le stage est destiné aux étudiants du master en biologie et aux doctorants (cet enseignement est inscrit au programme doctoral inter-universitaire en Ecologie et Biologie évolutive de la CUSO - http://biologie.cuso.ch/ecologie-evolution).

This training course provides students with basic knowledge in population genetics through computer-assisted analyses of different molecular datasets provided by the teachers. The practical work consists in carrying out the different steps of a study aiming at defining the genetic structure of populations: data management, data analysis using usual computer programs in population genetics, interpretation of the results. The theoretical concepts are introduced at the beginning of each course and trained during the practical sessions. Several scientific conferences are also given by invited speakers. This training course is for students following the master in biology but also for PhD students (it is part of the doctoral program in Ecology and Evolution of the CUSO - http://biologie.cuso.ch/ecologie-evolution).

Poster

The objectives of the course are to acquire theoretical and practical knowledge of the major techniques relevant for structural biology and biological mass spectrometry. For structural biology the concepts and applications of three major techniques will be presented including: electron microscopy, X-rays, and nuclear magnetic resonance (NMR). In the mass spectrometry part the principal techniques will be presented as well as its application to Systems Biology.

This course is designed for Master students in Biology and Biochemistry as well as for PhD students from the Doctoral School in Pharmaceutical Sciences. The class will only be held with a minimum of 8 students. The course material will be available on moodle .

After a general introduction in structural biology with an overview of the major techniques the course will be organized around four modules: electron microscopy, NMR, X-Ray and mass spectrometry. Each module will present the basic principles and the mainstream applications.

After a general introduction in structural biology with an overview of the major techniques the course will be organized around four modules: electron microscopy, NMR, X-Ray and mass spectrometry. Each module will present the basic principles and the mainstream applications.

Teachers: M.: G. HOPFGARTNER (po), T. SCHALCH (past), L. SCAPOZZA (po), F. BARJA (cc), O. SCHAAD (cc), E. VARESIO (mer)., Mrs. C. BESNARD (mer), E. RIVARA-MINTEN (ce), S. MICHALET (cols).

Responsables: