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Molecular Biology and Evolution, Vol 16, 512-524, Copyright © 1999 by Society for Molecular Biology and Evolution


ORIGINAL ARTICLE

CRITICA: coding region identification tool invoking comparative analysis

JH Badger and GJ Olsen
Department of Microbiology, University of Illinois, Urbana 61801, USA.

Gene recognition is essential to understanding existing and future DNA sequence data. CRITICA (Coding Region Identification Tool Invoking Comparative Analysis) is a suite of programs for identifying likely protein-coding sequences in DNA by combining comparative analysis of DNA sequences with more common noncomparative methods. In the comparative component of the analysis, regions of DNA are aligned with related sequences from the DNA databases; if the translation of the aligned sequences has greater amino acid identity than expected for the observed percentage nucleotide identity, this is interpreted as evidence for coding. CRITICA also incorporates noncomparative information derived from the relative frequencies of hexanucleotides in coding frames versus other contexts (i.e., dicodon bias). The dicodon usage information is derived by iterative analysis of the data, such that CRITICA is not dependent on the existence or accuracy of coding sequence annotations in the databases. This independence makes the method particularly well suited for the analysis of novel genomes. CRITICA was tested by analyzing the available Salmonella typhimurium DNA sequences. Its predictions were compared with the DNA sequence annotations and with the predictions of GenMark. CRITICA proved to be more accurate than GenMark, and moreover, many of its predictions that would seem to be errors instead reflect problems in the sequence databases. The source code of CRITICA is freely available by anonymous FTP (rdp.life.uiuc.edu in/pub/critica) and on the World Wide Web (http:/(/)rdpwww.life.uiuc.edu).
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Mol Biol EvolHome page
M. W. Hahn, J. E. Stajich, and G. A. Wray
The Effects of Selection Against Spurious Transcription Factor Binding Sites
Mol. Biol. Evol., June 1, 2003; 20(6): 901 - 906.
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J. Bacteriol.Home page
P. Chain, J. Lamerdin, F. Larimer, W. Regala, V. Lao, M. Land, L. Hauser, A. Hooper, M. Klotz, J. Norton, et al.
Complete Genome Sequence of the Ammonia-Oxidizing Bacterium and Obligate Chemolithoautotroph Nitrosomonas europaea
J. Bacteriol., May 1, 2003; 185(9): 2759 - 2773.
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Nucleic Acids ResHome page
F. Meyer, A. Goesmann, A. C. McHardy, D. Bartels, T. Bekel, J. Clausen, J. Kalinowski, B. Linke, O. Rupp, R. Giegerich, et al.
GenDB--an open source genome annotation system for prokaryote genomes
Nucleic Acids Res., April 15, 2003; 31(8): 2187 - 2195.
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Nucleic Acids ResHome page
T. Shibuya and I. Rigoutsos
Dictionary-driven prokaryotic gene finding
Nucleic Acids Res., June 15, 2002; 30(12): 2710 - 2725.
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Proc. Natl. Acad. Sci. USAHome page
E. Selkov, R. Overbeek, Y. Kogan, L. Chu, V. Vonstein, D. Holmes, S. Silver, R. Haselkorn, and M. Fonstein
Functional analysis of gapped microbial genomes: Amino acid metabolism of Thiobacillus ferrooxidans
PNAS, March 28, 2000; 97(7): 3509 - 3514.
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Nucleic Acids ResHome page
R. Overbeek, N. Larsen, G. D. Pusch, M. D'Souza, E. S. Jr, N. Kyrpides, M. Fonstein, N. Maltsev, and E. Selkov
WIT: integrated system for high-throughput genome sequence analysis and metabolic reconstruction
Nucleic Acids Res., January 1, 2000; 28(1): 123 - 125.
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Proc. Natl. Acad. Sci. USAHome page
D. E. Graham, R. Overbeek, G. J. Olsen, and C. R. Woese
An archaeal genomic signature
PNAS, March 28, 2000; 97(7): 3304 - 3308.
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