Exploiting maximal dependence decomposition to identify conserved motifs from a group of aligned signal sequences

@article{Lee2011ExploitingMD,
  title={Exploiting maximal dependence decomposition to identify conserved motifs from a group of aligned signal sequences},
  author={Tzong-Yi Lee and Zong-Qing Lin and Sheng-Jen Hsieh and Neil Arvin Breta{\~n}a and Cheng-Tsung Lu},
  journal={Bioinformatics},
  year={2011},
  volume={27 13},
  pages={1780-7}
}
UNLABELLED Bioinformatics research often requires conservative analyses of a group of sequences associated with a specific biological function (e.g. transcription factor binding sites, micro RNA target sites or protein post-translational modification sites). Due to the difficulty in exploring conserved motifs on a large-scale sequence data involved with various signals, a new method, MDDLogo, is developed. MDDLogo applies maximal dependence decomposition (MDD) to cluster a group of aligned… CONTINUE READING

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