GeneBins: a database for classifying gene expression data, with application to plant genome arrays

Area of Science:

• Bioinformatics
• Functional Genomics
• Systems Biology

Background:

• Existing ontological analysis tools for microarray experiments are limited to specific organisms.
• There is a need for a universal system to interpret gene expression data across diverse species.

Purpose of the Study:

• To develop a bioinformatics system for functional classification of gene expression data applicable to any organism.
• To provide an online tool for identifying relevant gene functions from microarray experiments.

Main Methods:

• Development of the GeneBins bioinformatics system.
• Modeling functional classification on KEGG ontology.
• Assignment of probe set sequences to a hierarchical functional classification.

Main Results:

• GeneBins supports functional classification for four plant species: Arabidopsis thaliana, Oryza sativa, Glycine max, and Medicago truncatula.
• The system assigns probe set sequences from any organism to a hierarchical functional classification.
• An online analysis tool is available for identifying relevant functions.

Conclusions:

• GeneBins offers a valuable resource for interpreting gene expression results from microarray experiments.
• The system overcomes the limitations of organism-specific analysis tools.
• GeneBins is accessible online for researchers worldwide.