Promoter sequences and algorithmical methods for identifying them.

A Vanet; L Marsan; M F Sagot

doi:10.1016/s0923-2508(99)00115-1

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Promoter sequences and algorithmical methods for identifying them.

A Vanet·L Marsan·M F Sagot

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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.

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Algorithms Bacteria Base Composition Base Sequence Consensus Sequence Models, Statistical Molecular Sequence Data Prokaryotic Cells Promoter Regions, Genetic Sequence Analysis Journal Article Research Support, Non-U.S. Gov't

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A Vanet, L Marsan, M F Sagot. Promoter sequences and algorithmical methods for identifying them.. https://doi.org/10.1016/s0923-2508(99)00115-1

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