It is probable that, increasingly, genome investigations are going to be based on statistical formalization. This review summarizes the state of art and potentiality of using statistics in microbial genome analysis. First, I focus on recent advances in functional genomics, such as finding genes and operons, identifying gene conversion events, detecting DNA replication origins and analysing regulatory sites. Then I describe how to use phylogenetic methods in genome analysis and methods for genome‐wide scanning for positively selected amino acids. I conclude (...) with speculations on the future course of genome statistical modeling. BioEssays 25:266–273, 2003. © 2003 Wiley Periodicals, Inc. (shrink)

After gene duplication, mutations cause the gene copies to diverge. The classical model predicts that these mutations will generally lead to the loss of function of one gene copy; rarely, new functions will be created and both duplicate genes are conserved. In contrast, under the subfunctionalization model both duplicates are preserved due to the partition of different functions between the duplicates. A recent study(1) provides support for the subfunctionalization model, identifying several expressed gene duplicates common to humans and mice that (...) contain regions conserved in one duplicate but variable in the other (and vice versa). We discuss both the methodology used in this study and also how gene phylogeny may lead to additional evidence for the importance of subfunctionalization in the evolution of new genes. BioEssays 23:873–876, 2001. © 2001 John Wiley & Sons, Inc. (shrink)