Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining

@article{Turi2009ComputationalAO,
  title={Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining},
  author={Antonio Turi and Corrado Loglisci and Eliana Salvemini and Giorgio Grillo and Donato Malerba and Domenica D'Elia},
  journal={BMC Bioinformatics},
  year={2009},
  volume={10},
  pages={S25 - S25}
}
Many studies report about detection and functional characterization of cis-regulatory motifs in untranslated regions (UTRs) of mRNAs but little is known about the nature and functional role of their distribution. To address this issue we have developed a computational approach based on the use of data mining techniques. The idea is that of mining frequent combinations of translation regulatory motifs, since their significant co-occurrences could reveal functional relationships important for the… CONTINUE READING
7 Citations
32 References
Similar Papers

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…