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Reference-Based Alignment in Large Sequence Databases

Summary: RBSA speeds up optimal subsequence retrieval under edit distance and Smith-Waterman by reference-based filtering, assuming the best match deviates only slightly from the query. Query segments of fixed-length with precomputed reference scores and alphabet collapsing enable strong pruning; exact and approximate RBSA outperform q-grams, BLAST, and BWT. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10063
Venue
VLDB
Year
2009
Pagerank
5.9493566e-05
Overall Rank
6,182 | 57.59%
DOI
10.14778/1687627.1687651

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{papapetrou_vldb09,
        title = {{Reference-Based Alignment in Large Sequence Databases}},
        author = {Papapetrou, Panagiotis and Athitsos, Vassilis and Kollios, George and Gunopulos, Dimitrios},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687651},
        url = {https://doi.org/10.14778/1687627.1687651},
        year = {2009}
}

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