Genomics Algebra: A New, Integrating Data Model, Language, and Tool for Processing and Querying Genomic Information
Summary: Genomics Algebra: extensible Genomic Data Types (genome/gene/protein/nucleotide) plus domain ops (translate/transcribe/decode) for native genomic processing. A Unifying Database maps heterogeneous semi-structured repositories into GDT values and exposes algebraic ops to DBMS queries. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Joachim Hammer (University of Florida)
- 2. Markus Schneider (University of Florida)
BibTeX Citation
@inproceedings{hammer_cidr03,
address = {Amsterdam, Netherlands},
series = {{CIDR} '03},
title = {{Genomics Algebra: A New, Integrating Data Model, Language, and Tool for Processing and Querying Genomic Information}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Hammer, Joachim and Schneider, Markus},
year = {2003}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,609 | Managing Semantic Heterogeneity in Databases : A Theoretical Perspective | 1997 | PODS | 0.00010225236 |
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