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• W1976245710 startingPage "1083" @default.
• W1976245710 abstract "Statistical validation of gene clusters is imperative for many important applications in comparative genomics which depend on the identification of genomic regions that are historically and/or functionally related. We develop the first rigorous statistical treatment of max-gap clusters, a cluster definition frequently used in empirical studies. We present exact expressions for the probability of observing an individual cluster of a set of marked genes in one genome, as well as upper and lower bounds on the probability of observing a cluster of h homologs in a pairwise whole-genome comparison. We demonstrate the utility of our approach by applying it to a whole-genome comparison of E. coli and B. subtilis. Code for statistical tests is available at." @default.
• W1976245710 created "2016-06-24" @default.
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• W1976245710 date "2005-10-01" @default.
• W1976245710 modified "2023-10-17" @default.
• W1976245710 title "The Statistical Analysis of Spatially Clustered Genes under the Maximum Gap Criterion" @default.
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• W1976245710 doi "https://doi.org/10.1089/cmb.2005.12.1083" @default.
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