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Title: Statistical tests for genomic time series data Authors:  Andreas Futschik - JKU Linz (Austria) [presenting]
Sonja Zehetmayer - Meical University Vienna (Austria)
Abstract: Genomic time series data arise for instance in experimental evolution, where several populations of fast reproducing organisms, such as yeast or Drosophila, are kept under different environmental conditions. The goal is to find genomic signatures of adaptive selection. Recent experiments revealed however, that different experimental populations do not necessarily show the same genomic signatures of adaptation. This may be for instance due to the random loss of beneficial variants due to genetic drift, due to initial linkage with deleterious alleles, or to different possibilities for adaptation. We investigate different possibilities for identifying selection under such circumstances, and propose new more powerful tests of a global null hypothesis.