RactIP: fast and accurate prediction of RNA-RNA interaction using integer programming

@inproceedings{Kato2010RactIPFA,
  title={RactIP: fast and accurate prediction of RNA-RNA interaction using integer programming},
  author={Yuki Kato and Kengo Sato and Michiaki Hamada and Yoshihide Watanabe and Kiyoshi Asai and Tatsuya Akutsu},
  booktitle={Bioinformatics},
  year={2010}
}
MOTIVATION Considerable attention has been focused on predicting RNA-RNA interaction since it is a key to identifying possible targets of non-coding small RNAs that regulate gene expression post-transcriptionally. A number of computational studies have so far been devoted to predicting joint secondary structures or binding sites under a specific class of interactions. In general, there is a trade-off between range of interaction type and efficiency of a prediction algorithm, and thus efficient… CONTINUE READING
Highly Cited
This paper has 61 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 32 extracted citations

61 Citations

051015'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 61 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 21 references

Similar Papers

Loading similar papers…