Identification of Novel Genomic Islands in Liverpool Epidemic Strain of Pseudomonas aeruginosa Using Segmentation and Clustering

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This article utilizes a recursive segmentation and cluster procedure presented as a genome-mining tool, GEMINI, to decipher genomic islands and understand their contributions to the evolution of virulence and antibiotic resistance in Pseudomonas aeruginosa.

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18 p.

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Jani, Mehul; Mathee, Kalal & Azad, Rajeev K. August 3, 2016.

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This article is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Arts and Sciences to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 67 times . More information about this article can be viewed below.

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This article utilizes a recursive segmentation and cluster procedure presented as a genome-mining tool, GEMINI, to decipher genomic islands and understand their contributions to the evolution of virulence and antibiotic resistance in Pseudomonas aeruginosa.

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18 p.

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  • Frontiers in Microbiology, 2016. Lausanne, Switzerland: Frontiers Research Foundation.

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  • Publication Title: Frontiers in Microbiology
  • Volume: 7
  • Page Start: 1
  • Page End: 18

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UNT Scholarly Works

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  • August 3, 2016

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  • Aug. 31, 2016, 10:05 a.m.

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Jani, Mehul; Mathee, Kalal & Azad, Rajeev K. Identification of Novel Genomic Islands in Liverpool Epidemic Strain of Pseudomonas aeruginosa Using Segmentation and Clustering, article, August 3, 2016; Lausanne, Switzerland. (digital.library.unt.edu/ark:/67531/metadc862691/: accessed June 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.