MiMiR: A Platform for Microarray Data Sharing and Analysis
Author Information
Author(s): Chris Tomlinson, Manjula Thimma, Stelios Alexandrakis, Tito Castillo, Jayne L. Dennis, Anthony Brooks, Thomas Bradley, Carly Turnbull, Ekaterini Blaveri, Geraint Barton, Norie Chiba, Klio Maratou, Pat Soutter, Tim Aitman, Laurence Game
Primary Institution: Imperial College
Hypothesis
MiMiR was designed to tackle the limitations of managing, sharing, and analyzing microarray data.
Conclusion
The MiMiR suite of software enables effective capture and secure sharing of extensive experimental and clinical information.
Supporting Evidence
- MiMiR currently contains more than 150 experiments corresponding to over 3000 hybridisations.
- The MiMiR architecture allows secure warehousing of thousands of datasets.
- MiMiR supports the Microarray Centre's large microarray user community and two international consortia.
Takeaway
MiMiR helps scientists share and analyze lots of data from experiments easily and safely, making it easier to learn from their research.
Methodology
The study involved developing software tools for data submission, curation, and analysis, along with a secure architecture for data access.
Potential Biases
The reliance on user-submitted data may introduce biases if not properly curated.
Limitations
The study does not address the potential variability in data quality from different sources.
Digital Object Identifier (DOI)
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