Predicting Statistical Properties of Open Reading Frames in Bacterial Genomes

@inproceedings{Mir2012PredictingSP,
  title={Predicting Statistical Properties of Open Reading Frames in Bacterial Genomes},
  author={Katharina Mir and Klaus Neuhaus and Siegfried Scherer and Martin Bossert and Steffen Schober},
  booktitle={PloS one},
  year={2012}
}
An analytical model based on the statistical properties of Open Reading Frames (ORFs) of eubacterial genomes such as codon composition and sequence length of all reading frames was developed. This new model predicts the average length, maximum length as well as the length distribution of the ORFs of 70 species with GC contents varying between 21% and 74%. Furthermore, the number of annotated genes is predicted with high accordance. However, the ORF length distribution in the five alternative… CONTINUE READING

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