Using a VOM model for reconstructing potential coding regions in EST sequences

@article{Shmilovici2007UsingAV,
  title={Using a VOM model for reconstructing potential coding regions in EST sequences},
  author={A. Shmilovici and Irad Ben-Gal},
  journal={Computational Statistics},
  year={2007},
  volume={22},
  pages={49-69}
}
  • A. Shmilovici, Irad Ben-Gal
  • Published 2007
  • Mathematics, Computer Science
  • Computational Statistics
  • This paper presents a method for annotating coding and noncoding DNA regions by using variable order Markov (VOM) models. A main advantage in using VOM models is that their order may vary for different sequences, depending on the sequences’ statistics. As a result, VOM models are more flexible with respect to model parameterization and can be trained on relatively short sequences and on low-quality datasets, such as expressed sequence tags (ESTs). The paper presents a modified VOM model for… CONTINUE READING
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