Sequences of entire genomes, genotypes of individual variations in thousand of polymorphic loci and hundreds of individuals, gene expression measurements via cDNA chips on thousand of genes in a variety of conditions: these are some of the types of datasets are now available to genetic researchers. And they are examples of what are the challenges coming from genetics to the information sciences. The statistical genetics laboratory use tools from information theory, Bayesian statistics, Markov chain Monte Carlo to identify in these massive datasets scientifically valuable information.