Statistical bioinformatic methods in microbial genome analysis.
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.
Liò
Pietro
P
Department of Zoology, University of Cambridge, UK. P.Lio@zoo.cam.ac.uk
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
D012313:RNA; D004247:DNA