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The use of gene clusters to infer functional coupling

Open access
Overbeek, Ross, Fonstein, Michael, D’Souza, Mark, Pusch, Gordon D., Maltsev, Natalia·1999·Proceedings of the National Academy of Sciences

Abstract

Previously, we presented evidence that it is possible to predict functional coupling between genes based on conservation of gene clusters between genomes. With the rapid increase in the availability of prokaryotic sequence data, it has become possible to verify and apply the technique. In this paper, we extend our characterization of the parameters that determine the utility of the approach, and we generalize the approach in a way that supports detection of common classes of functionally coupled genes (e.g., transport and signal transduction clusters). Now that the analysis includes over 30 complete or nearly complete genomes, it has become clear that this approach will play a significant role in supporting efforts to assign functionality to the remaining uncharacterized genes in sequenced genomes.

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Metadata

Authors
Overbeek, R., Fonstein, M., D’Souza, M., Pusch, G. D., & Maltsev, N.
Venue
Proceedings of the National Academy of Sciences
Published
1999-03-16
Volume
96
Issue
6
Pages
2896-2901
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1995117714
Cited by
1,241
References
0
FWCI
15.44
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The use of gene clusters to infer functional coupling. https://app.cochat.ai/papers/10.1073/pnas.96.6.2896
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Overbeek, R., Fonstein, M., D’Souza, M., Pusch, G. D., & Maltsev, N. (1999). The use of gene clusters to infer functional coupling. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.96.6.2896

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.