Summary
A popular approach in comparative genomics is to locate groups or clusters of orthologous genes in multiple genomes and to postulate functional association between the genes contained in such clusters. For a rigorous and efficient detection in multiple genomes, it is essential to have an appropriate model of gene clusters accompanied by efficient algorithms locating them. The Gecko method described herein was designed to serve as a basic tool for the detection and visualization of gene cluster data in prokaryotic genomes founded on a formal string-based gene cluster model.
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Acknowledgments
The authors wish to thank Christian Rückert and Jörn Kalinowski for their helpful discussions on the topic of gene clusters and their valuable feedback during the development of GhostFam and Gecko.
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Schmidt, T., Stoye, J. (2007). Gecko and GhostFam. In: Bergman, N.H. (eds) Comparative Genomics. Methods In Molecular Biology™, vol 396. Humana Press. https://doi.org/10.1007/978-1-59745-515-2_12
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DOI: https://doi.org/10.1007/978-1-59745-515-2_12
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