Operon prediction without a training set

@article{Westover2005OperonPW,
  title={Operon prediction without a training set},
  author={Benjamin P. Westover and Jeremy Buhler and Justin L. Sonnenburg and Jeffrey I. Gordon},
  journal={Bioinformatics},
  year={2005},
  volume={21 7},
  pages={880-8}
}
MOTIVATION Annotation of operons in a bacterial genome is an important step in determining an organism's transcriptional regulatory program. While extensive studies of operon structure have been carried out in a few species such as Escherichia coli, fewer resources exist to inform operon prediction in newly sequenced genomes. In particular, many extant operon finders require a large body of training examples to learn the properties of operons in the target organism. For newly sequenced genomes… CONTINUE READING
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