Computing for Biologists: lessons from some successful case studies

Summary: Tutorial-style overview of techniques that aided biology: combinatorial experimental design, visualization, and cross-species gene discovery. Emphasizes data-management insights and lessons on collaboration among databases, data mining, and biology. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3796
Venue: SIGMOD
Year: 2005
Pagerank: 5.093636e-05
Overall Rank: 12,741 | 12.59%
DOI: 10.1145/1066157.1066309

Incoming Non-self Citations Over Time

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Authors

1. Dennis Shasha (New York University)

BibTeX Citation

@inproceedings{shasha_sigmod05,
        title = {{Computing for Biologists: lessons from some successful case studies}},
        author = {Shasha, Dennis},
        series = {{SIGMOD} '05},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1066157.1066309},
        url = {https://dl.acm.org/doi/10.1145/1066157.1066309},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

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Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
177	Graph Indexing: A Frequent Structure-based Approach	2004	SIGMOD	0.00027100548

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