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Translation conditional models for protein coding sequences

(2000) JOURNAL OF COMPUTATIONAL BIOLOGY. 7(1-2). p.249-260
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Abstract
A coding sequence is defined as a DNA sequence coding the primary structure of a protein (a polypeptide). Such a sequence must satisfy a specific constraint, which consists in coding a functional protein, As the genetic code is degenerated, there exists, for a given polypeptide, a set of synonymous sequences which would code the same polypeptide, Translation conditional models are being defined on such sets. The aim of this paper is to give a common formalism, Besides the codon bias model, a few other conditional models will be defined. Statistical estimators and comparison methods will be briefly presented. These models can be used for gene classification, or to find out, in a real sequence, remarkable features. An example will be presented on Escherichia coli genes.
Keywords
conditional models, codon bias, coding sequences, gene classification, CODON USAGE, ABUNDANCE, GENES

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Chicago
Rodolphe, François, and Catherine Mathé. 2000. “Translation Conditional Models for Protein Coding Sequences.” Journal of Computational Biology 7 (1-2): 249–260.
APA
Rodolphe, F., & Mathé, C. (2000). Translation conditional models for protein coding sequences. JOURNAL OF COMPUTATIONAL BIOLOGY, 7(1-2), 249–260.
Vancouver
1.
Rodolphe F, Mathé C. Translation conditional models for protein coding sequences. JOURNAL OF COMPUTATIONAL BIOLOGY. 2000;7(1-2):249–60.
MLA
Rodolphe, François, and Catherine Mathé. “Translation Conditional Models for Protein Coding Sequences.” JOURNAL OF COMPUTATIONAL BIOLOGY 7.1-2 (2000): 249–260. Print.
@article{125010,
  abstract     = {A coding sequence is defined as a DNA sequence coding the primary structure of a protein (a polypeptide). Such a sequence must satisfy a specific constraint, which consists in coding a functional protein, As the genetic code is degenerated, there exists, for a given polypeptide, a set of synonymous sequences which would code the same polypeptide, Translation conditional models are being defined on such sets. The aim of this paper is to give a common formalism, Besides the codon bias model, a few other conditional models will be defined. Statistical estimators and comparison methods will be briefly presented. These models can be used for gene classification, or to find out, in a real sequence, remarkable features. An example will be presented on Escherichia coli genes.},
  author       = {Rodolphe, François and Mathé, Catherine},
  issn         = {1066-5277},
  journal      = {JOURNAL OF COMPUTATIONAL BIOLOGY},
  keywords     = {conditional models,codon bias,coding sequences,gene classification,CODON USAGE,ABUNDANCE,GENES},
  language     = {eng},
  number       = {1-2},
  pages        = {249--260},
  title        = {Translation conditional models for protein coding sequences},
  url          = {http://dx.doi.org/10.1089/10665270050081504},
  volume       = {7},
  year         = {2000},
}

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