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551-0193-00L  Biological Information Mining

SemesterHerbstsemester 2016
DozierendeK. Bärenfaller, J. Fütterer
Periodizitätjährlich wiederkehrende Veranstaltung
LehrspracheEnglisch
KommentarNumber of participants limited to 8.


KurzbeschreibungStudents will use lists of genes obtained in real experiments and learn how to obtain gene-centered information from literature and databases. They will use tools for gene function prediction and visualization of protein-protein interaction networks. The work will lead to a more meaningful annotation of co-detected genes and generate a hypothesis about their functional relationship.
LernzielAbility to use modern databases, mining- and modelling tools for functional annotation of genes and gene networks. Gene centered view of plant processes.
InhaltMany new biological analysis methods result in lists of genes or proteins related to biological structures, functions, or processes. The information available about the genes or proteins is often scattered in multiple databases and publications, making it difficult to extract and uncover common features or relationships among the biological molecules.
In the course students will use lists of genes or proteins from ongoing experiments in the laboratory and learn how to find and assemble gene-centered information in the literature, different databases and with analysis tools. The training and research will lead to a better and more meaningful annotation of co-detected genes members and generate a hypothesis about their functional relationship.
The work will be done exclusively using a computer. Students will work independently but with close supervision by experienced scientists. Daily discussions of the work will ensure progress. The computer work will be accompanied by lectures on theoretical and practical aspects of databases, gene networks and the project context of the gene lists that will be analyzed. Students will present their results and hypotheses at the end of the block course.