Tiling array-driven elucidation of transcriptional structures based on maximum-likelihood and Markov models.

@article{Toyoda2005TilingAE,
  title={Tiling array-driven elucidation of transcriptional structures based on maximum-likelihood and Markov models.},
  author={Tetsuro Toyoda and Kazuo Shinozaki},
  journal={The Plant journal : for cell and molecular biology},
  year={2005},
  volume={43 4},
  pages={
          611-21
        }
}
Tiling arrays of high-density oligonucleotide probes spanning the entire genome are powerful tools for the discovery of new genes. However, it is difficult to determine the structure of the spliced product of a structurally unknown gene from noisy array signals only. Here we introduce a statistical method that estimates the precise splicing points and the exon/intron structure of a structurally unknown gene by maximizing the odds or the ratio of posterior probabilities of the structure under… CONTINUE READING

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Empirical analysis of transcriptional activity in the Arabidopsis

K. Yamada, J. Lim, Dale J.M
  • genome. Science,
  • 2003
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Empirical analysis of transcriptional activity in the Arabidopsis genome

J. Lim
  • Science
  • 2003