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Genome-scale Disk-based Suffix Tree Indexing

Summary: Genome-scale disk-based suffix tree: Trellis preserves suffix links and enables external indexing for DNA sequences. Index the human genome in ~4h with 2GB RAM and ~2h suffix-link recovery, outpacing prior methods on index and query performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
ha7ed257e13ed0a46
Venue
SIGMOD
Year
2007
Pagerank
7.606774e-05
Overall Rank
3,138 | 78.91%
DOI
10.1145/1247480.1247572

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{phoophakdee_sigmod07,
        title = {{Genome-scale Disk-based Suffix Tree Indexing}},
        author = {Phoophakdee, Benjarath and Zaki, Mohammed J.},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247572},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247572},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
2,059 A Database Index to Large Biological Sequences 2001 VLDB 9.1020248e-05
3,535 Practical Suffix Tree Construction 2004 VLDB 7.2241971e-05
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