• DOI:10.1007/S00180-007-0021-8
Corpus ID: 2737235

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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