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Cited by 505

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Genetic Engineering Using Homologous Recombination

Court, Donald L., Sawitzke, James A., Thomason, Lynn C.·2002·Annual Review of Genetics

Abstract

▪ Abstract In the past few years, in vivo technologies have emerged that, due to their efficiency and simplicity, may one day replace standard genetic engineering techniques. Constructs can be made on plasmids or directly on the Escherichia coli chromosome from PCR products or synthetic oligonucleotides by homologous recombination. This is possible because bacteriophage-encoded recombination functions efficiently recombine sequences with homologies as short as 35 to 50 base pairs. This technology, termed recombineering, is providing new ways to modify genes and segments of the chromosome. This review describes not only recombineering and its applications, but also summarizes homologous recombination in E. coli and early uses of homologous recombination to modify the bacterial chromosome. Finally, based on the premise that phage-mediated recombination functions act at replication forks, specific molecular models are proposed.

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Crossref · 10.1146/annurev.genet.36.061102.093104

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Metadata

Authors
Court, D. L., Sawitzke, J. A., & Thomason, L. C.
Venue
Annual Review of Genetics
Published
2002-12
Volume
36
Issue
1
Pages
361-388
ISSN
  • 0066-4197 (ISSN-L)
  • 1545-2948
OpenAlex
W2155690692
Cited by
505
References
1
FWCI
0.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Genetic Engineering Using Homologous Recombination. https://app.cochat.ai/papers/10.1146/annurev.genet.36.061102.093104
The paper
Court, D. L., Sawitzke, J. A., & Thomason, L. C. (2002). Genetic Engineering Using Homologous Recombination. Annual Review of Genetics. https://doi.org/10.1146/annurev.genet.36.061102.093104

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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.