Database Paper Browser

Back to papers

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
9872
Venue
VLDB
Year
2009
Pagerank
5.3172025e-05
Overall Rank
5,812 | 59.57%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers