KARMA: a web server application for comparing and annotating heterogeneous microarray platforms

Area of Science:

• Bioinformatics
• Genomics
• Computational Biology

Background:

• Microarray platform comparisons are essential for data integration and analysis.
• Diverse genome annotation data from multiple sources pose challenges for cross-platform analysis.
• Standardized tools are needed to facilitate the comparison of different microarray platforms.

Purpose of the Study:

• To develop a universal web server application, KARMA, for comparing and annotating user-defined pairs of microarray platforms.
• To enable cross-platform analysis using diverse genome annotation data across different species.
• To provide a user-friendly interface for researchers to input and analyze microarray data.

Main Methods:

• Developed a web server application (KARMA) for microarray platform comparison and annotation.
• Utilized NCBI-Unigene identifiers for single-species comparisons and NCBI-Homologene data for cross-species comparisons.
• Integrated diverse annotation data (LocusLink, SwissProt, Gene Ontology) from multiple sources into an Oracle database.

Main Results:

• KARMA dynamically identifies analogous DNA fragments across multiple microarray platforms.
• The application supports comparisons of diverse platforms, including commercial, custom, and resource-specific arrays.
• Set operations (intersection, union, difference) are employed for single-species comparisons.

Conclusions:

• KARMA provides an effective tool for comparing and annotating diverse microarray platforms.
• The application facilitates cross-species and single-species analyses using integrated genome annotation data.
• KARMA enhances data accessibility and comparability for microarray research.