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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Updated: Jul 3, 2026

Extracellular Protein Microarray Technology for High Throughput Detection of Low Affinity Receptor-Ligand Interactions

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Published on: January 7, 2019

BmuG@Sbase--a microarray database and analysis tool.

Adam A Witney¹, Jason Hinds

¹Bacterial Microarray Group, Department of Medical Microbiology, St George's Hospital Medical School, Cranmer Terrace, London SW17 0RE, UK. a.witney@sghms.ac.uk

Comparative and Functional Genomics

|July 17, 2008

Summary

This summary is machine-generated.

A new database system, BmuG@Sbase, will manage data from whole-genome microarrays for 12 bacterial pathogens. This system ensures secure, accessible storage and retrieval of critical experimental data for researchers.

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Area of Science:

Microbiology
Bioinformatics
Genomics

Background:

Whole-genome microarray production and utilization involve complex data management requirements.
Effective data storage, accessibility, and association are crucial for hybridization and scanning data.
The Bacterial Microarray Group at St. George's Hospital Medical School (BmuG@S) is developing resources for bacterial pathogen research.

Purpose of the Study:

To establish a comprehensive data management system for whole-genome microarray studies.
To support collaborative research on 12 bacterial pathogens through data sharing and analysis tools.
To provide informatic support for experimental design, methodology, and data analysis.

Main Methods:

Development of a database system (BmuG@Sbase) with a web interface.
Generation of whole-genome microarrays for 12 bacterial pathogens.
Collaboration with specialist research groups on experimental design, methodology, and analysis.

Main Results:

BmuG@Sbase will offer secure, searchable storage for user data.
Web-based access to microarray design data will be provided.
Analysis tools developed by BmuG@S will be made available to collaborating groups.

Conclusions:

The BmuG@Sbase system will enhance data management for bacterial whole-genome microarray studies.
This initiative facilitates collaborative research and data sharing among microbiologists and bioinformaticians.
Improved data accessibility and analysis tools will advance the study of bacterial pathogens.