RETINOBASE: A Database for Retinal Gene Expression Data
Author Information
Author(s): Kalathur Ravi Kiran Reddy, Gagniere Nicolas, Berthommier Guillaume, Poidevin Laetitia, Raffelsberger Wolfgang, Ripp Raymond, Léveillard Thierry, Poch Olivier
Primary Institution: Laboratoire de Bioinformatique et de Genomique Integratives, Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS/INSERM/ULP
Hypothesis
The development of a dedicated microarray database for retinal gene expression will enhance the analysis and understanding of retinal diseases.
Conclusion
RETINOBASE provides efficient access to global expression profiling of retinal genes from various organisms under different conditions.
Supporting Evidence
- RETINOBASE contains datasets from 28 different microarray experiments.
- It allows simple yet powerful queries to retrieve information about gene expression in the retina.
- Public and proprietary data are analyzed with distinct methods and clustered for comparison.
Takeaway
RETINOBASE is like a big library for scientists where they can find and study genes related to the eye, helping them understand eye diseases better.
Methodology
RETINOBASE uses open-source tools and a relational database schema to store and analyze gene expression data from various microarray experiments.
Limitations
Some experiments have partial data, and the database is still under development with plans for future enhancements.
Digital Object Identifier (DOI)
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