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Statistical methods for identification
of genes under natural selection

   15th - 19th May| 2006 | Helsinki|Finland

There is no registration fee for this course. However, after the end of the registration period, organizers will decide who will be chosen as eligible participants (the number of participants is limited to 20) according to the general guidelines of EMBO.

The identification of genes subjected to natural selection has been one of the primary research interests in population genetics over the past decades. With the recent technological advancements and the availability of numerous fully sequenced genomes, the emphasis is shifting from the analysis of single genes towards genome scans for genes subjected to selection.

Information about whether or not a gene has been subjected to natural selection could be used to learn more about the function of the gene, in particular if the selective forces are known (e.g. selection in domestic animals, insecticide resistance etc.). Therefore, an increasing number of molecular biologists are becoming interested to apply statistical tests for the identification of selected genes (or selected amino acids) to the gene of their interest. On the other hand, the large amount of data that are currently produced (e.g. the sequence of 50 completely sequenced D. melanogaster genomes will become available shortly) also requires new approaches for the identification of selected genes.

The proposed course aims to train molecular biologists with the fundamental techniques on how to use statistical methods for the identification of selected genes. Furthermore, we will also show how the statistical tests could be improved by the incorporation of available data from genome scans.

Participants of the course will be provided with the background of the statistical tests, they will be trained in the use of available statistical software packages, and finally they will have the opportunity to apply this knowledge to their own data.


About the Course