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HyAsP, a greedy tool for plasmids identification.

Robert Müller1, Cedric Chauve2

  • 1Computational Methods for the Analysis of the Diversity and Dynamics of Genomes, Bielefeld University, 33615 Bielefeld, Germany.

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|May 23, 2019
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Summary
This summary is machine-generated.

HyAsP is a new tool for bacterial plasmid assembly. It accurately identifies and assembles plasmid DNA, outperforming existing methods for antimicrobial resistance gene tracking.

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Area of Science:

  • Genomics
  • Microbiology
  • Bioinformatics

Background:

  • Plasmids are crucial in bacterial evolution, particularly for antimicrobial resistance acquisition.
  • Separating and assembling plasmid DNA from bacterial genomes presents significant computational challenges.

Purpose of the Study:

  • To develop and evaluate HyAsP, a novel computational tool for plasmid contig identification, binning, and assembly.
  • To improve the accuracy and efficiency of plasmid genome reconstruction.

Main Methods:

  • HyAsP employs a hybrid approach combining a database of known plasmid genes with a greedy assembly algorithm.
  • The tool was tested on a large collection of bacterial datasets to assess its performance.

Main Results:

  • HyAsP demonstrates superior performance in identifying and assembling plasmid contigs compared to existing tools.
  • The tool effectively distinguishes plasmid DNA from chromosomal contigs.

Conclusions:

  • HyAsP offers a robust solution for bacterial plasmid assembly, aiding in the study of antimicrobial resistance.
  • The developed tool enhances genomic analysis by providing accurate plasmid reconstruction.