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Related Experiment Video

Updated: Apr 30, 2026

Replication of the Ordered, Nonredundant Library of Pseudomonas aeruginosa strain PA14 Transposon Insertion Mutants
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Mining the Pseudomonas genome.

Geoffrey L Winsor1, Fiona S L Brinkman

  • 1Department of Molecular Biology and Biochemistry, Simon Fraser University, 8888 University Drive, Burnaby, BC, Canada, V5A 1S6.

Methods in Molecular Biology (Clifton, N.J.)
|May 14, 2014
PubMed
Summary
This summary is machine-generated.

The Pseudomonas Genome Database provides updated genomic data for Pseudomonas species, aiding researchers in identifying drug targets and understanding pathogens. This resource facilitates discovery through comprehensive genome-scale analyses.

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Area of Science:

  • Microbiology
  • Genomics
  • Bioinformatics

Background:

  • Pseudomonas species are metabolically diverse, adaptable, and include significant human and agricultural pathogens.
  • Genomic studies of Pseudomonas are crucial due to their relevance and the increasing power of genome-scale analyses.
  • The Pseudomonas Genome Database offers curated annotations and integrated data for Pseudomonas aeruginosa and related species.

Purpose of the Study:

  • To describe how the Pseudomonas Genome Database and other bioinformatics resources can be utilized by researchers.
  • To facilitate the mining of Pseudomonas genomes and associated data for new discoveries.

Main Methods:

  • Leveraging the Pseudomonas Genome Database for peer-reviewed, updated annotations of Pseudomonas aeruginosa PAO1.
  • Utilizing integrated data and analyses of related Pseudomonas species within the database.
  • Employing multiple bioinformatics resources for various gene/protein-based analyses.

Main Results:

  • The database provides access to analyses for drug targets, virulence factors, regulatory elements, and genomic islands.
  • Genome-scale analyses include ortholog identification, single nucleotide polymorphism detection, and gene expression studies.
  • Resources facilitate characterization of genome rearrangements and protein structures.

Conclusions:

  • The Pseudomonas Genome Database is a valuable resource for Pseudomonas researchers.
  • Bioinformatics tools enable efficient mining of genomic data for scientific discovery.
  • Enhanced understanding of Pseudomonas genomes can lead to advancements in medicine and agriculture.