title: Statistical evaluation of genetic footprinting data.
abstract: As transposomics is extended to genome scale, appropriate statistical methods need to be developed to assign significance to gene essentiality. In this chapter, the author presents a set of steps that, together with genome-scale insertion data and the complete genome sequence of a prokaryote, can be used to classify the genes of the organism as either "essential" or "nonessential."
authors.affiliation: Department of Systems Biology-Unit 950, University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
authors.forename: Gábor
authors.initials: G
authors.lastname: Balázsi
mesh_terms: D018983:DNA Footprinting / Q000379:methods*; D005798:Genes, Bacterial; D020043:Genes, Essential; D016680:Genome, Bacterial; D015233:Models, Statistical