We present a coding measure which is based on the statistical properties of the stop codons. and that is able to estimate accurately the variation of coding content along an anonymous sequence. As the stop codons play the same role in all the genomes (with very few exceptions) the measure turns out to be species-independent. We show results both for prokaryotic and for eukarotic genomes, indicating, first, the accuracy of the measure, and, second. that better prediction is achieved if the measure is applied on homogeneous, isochore-like sequences than if it is applied following the standard moving window approach. Finally, we discuss on some of the possible applications of the measure. (C) 2002 Elsevier Science B.V. All rights reserved.
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Univ Tampere, Inst Biomed Technol, Tampere 33014, Finland
Univ Tampere, Tampere Univ Hosp, Tampere 33014, FinlandUniv Tampere, Inst Biomed Technol, Tampere 33014, Finland
Scialo, Filippo
Mallikarjun, Venkatesh
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Univ Tampere, Inst Biomed Technol, Tampere 33014, Finland
Univ Tampere, Tampere Univ Hosp, Tampere 33014, FinlandUniv Tampere, Inst Biomed Technol, Tampere 33014, Finland
Mallikarjun, Venkatesh
Stefanatos, Rhoda
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Beatson Inst Canc Res, Canc Res UK, Glasgow G61 1BD, Lanark, ScotlandUniv Tampere, Inst Biomed Technol, Tampere 33014, Finland
Stefanatos, Rhoda
Sanz, Alberto
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Univ Tampere, Inst Biomed Technol, Tampere 33014, Finland
Univ Tampere, Tampere Univ Hosp, Tampere 33014, FinlandUniv Tampere, Inst Biomed Technol, Tampere 33014, Finland