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WHAM: A High-throughput Sequence Alignment Method

Summary: WHAM: high-throughput short-read alignment using hash-based indexing and bitwise ops, enabling richer match models than prior aligners. Significant speedups over state-of-the-art; code at http://www.cs.wisc.edu/wham/. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4465
Venue
SIGMOD
Year
2011
Pagerank
8.550768e-05
Overall Rank
2,459 | 83.14%
DOI
10.1145/1989323.1989370

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Authors

BibTeX Citation

@inproceedings{li_sigmod11,
        title = {{WHAM: A High-throughput Sequence Alignment Method}},
        author = {Li, Yinan and Terrell, Allison and Patel, Jignesh M.},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989370},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989370},
        year = {2011}
}

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