title: Statistical bioinformatic methods in microbial genome analysis.
abstract: 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.
authors.affiliation: Department of Zoology, University of Cambridge, UK. P.Lio@zoo.cam.ac.uk
authors.forename: Pietro
authors.initials: P
authors.lastname: Liò
mesh_terms: D019295:Computational Biology; D004247:DNA / Q000378:metabolism; D019992:Databases as Topic; D018014:Gene Transfer Techniques; D016680:Genome, Bacterial; D008390:Markov Chains; D008954:Models, Biological; D015233:Models, Statistical; D010802:Phylogeny; D012313:RNA / Q000378:metabolism; D012984:Software
chemical_list: D012313:RNA; D004247:DNA