title: Promoter sequences and algorithmical methods for identifying them.
abstract: This paper presents a survey of currently available mathematical models and algorithmical methods for trying to identify promoter sequences. The methods concern both searching in a genome for a previously defined consensus and extracting a consensus from a set of sequences. Such methods were often tailored for either eukaryotes or prokaryotes although this does not preclude use of the same method for both types of organisms. The survey therefore covers all methods; however, emphasis is placed on prokaryotic promoter sequence identification. Illustrative applications of the main extracting algorithms are given for three bacteria.
authors.affiliation: Institut de biologie physico-chimique, Paris, France.
authors.forename: A
authors.initials: A
authors.lastname: Vanet
authors.forename: L
authors.initials: L
authors.lastname: Marsan
authors.forename: M F
authors.initials: MF
authors.lastname: Sagot
mesh_terms: D000465:Algorithms; D001419:Bacteria / Q000235:genetics; D001482:Base Composition; D001483:Base Sequence; D016384:Consensus Sequence; D015233:Models, Statistical; D008969:Molecular Sequence Data; D011387:Prokaryotic Cells / Q000737:chemistry*; D011401:Promoter Regions, Genetic / Q000235:genetics*; D017421:Sequence Analysis