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Evolution of Microbial Genome

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BμG@Sbase--a microbial gene expression and comparative genomic database.

Adam A Witney1, Denise E Waldron, Lucy A Brooks

  • 1Bacterial Microarray Group, Centre for Infection & Immunity, Division of Clinical Sciences, St George's, University of London, Cranmer Terrace, London SW17 0RE, UK. awitney@sgul.ac.uk

Nucleic Acids Research
|September 28, 2011
PubMed
Summary
This summary is machine-generated.

Bacterial Microarray Group at St George's (BmicroG@S) developed BmicroG@Sbase, a microbial gene expression database. This expertly curated resource aids bioinformatics by organizing complex genomic data for systems analysis.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Genomics

Background:

  • High-throughput functional genomic technologies generate vast, complex data.
  • Bioinformatics resources and tool development face significant burdens.
  • The Bacterial Microarray Group at St George's (BmicroG@S) has extensive experience in bacterial microarray analysis.

Purpose of the Study:

  • To develop a centralized, expertly curated database for microbial gene expression and comparative genomics.
  • To address the challenges posed by large-scale genomic data.
  • To provide a robust platform for future systems biology approaches.

Main Methods:

  • Development of BmicroG@Sbase, a web-browsable, MIAME-compliant database.
  • Implementation of structured web forms with controlled vocabulary for consistent annotation.
  • Integration of an explorer-like interface with tree diagrams for data visualization.

Main Results:

  • BmicroG@Sbase currently houses 86 curated public datasets and annotation for 59 bacterial microarray designs.
  • The database stores comprehensive experimental annotation and multiple data formats.
  • A modular design facilitates future integration of diverse data types.

Conclusions:

  • BmicroG@Sbase provides a valuable, expertly curated resource for microbial genomics research.
  • The database enhances data accessibility and analysis for the scientific community.
  • Its flexible architecture supports the progression towards integrated systems biology.