Frequent pattern mining is widely used in bioinformatics since frequent patterns in bio sequences often correspond to residues conserved during evolution. In bio sequence analysis, non-overlapping inversions are well-studied because of their practical properties for local sequence comparisons. We consider the problem of finding frequent patterns in a bio sequence with respect to non-overlapping inversions, and design efficient algorithms.
CITATION STYLE
Cho, D. J., Han, Y. S., & Kim, H. (2015). Frequent pattern mining with non-overlapping inversions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8977, pp. 121–132). Springer Verlag. https://doi.org/10.1007/978-3-319-15579-1_9
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