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A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB
Open accessAbstract
BACKGROUND: Sharing of microarray data within the research community has been greatly facilitated by the development of the disclosure and communication standards MIAME and MAGE-ML by the MGED Society. However, the complexity of the MAGE-ML format has made its use impractical for laboratories lacking dedicated bioinformatics support. RESULTS: We propose a simple tab-delimited, spreadsheet-based format, MAGE-TAB, which will become a part of the MAGE microarray data standard and can be used for annotating and communicating microarray data in a MIAME compliant fashion. CONCLUSION: MAGE-TAB will enable laboratories without bioinformatics experience or support to manage, exchange and submit well-annotated microarray data in a standard format using a spreadsheet. The MAGE-TAB format is self-contained, and does not require an understanding of MAGE-ML or XML.
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Metadata
- Authors
- Rayner, T. F., Rocca-Serra, P., Spellman, P. T., Causton, H. C., Farne, A., Holloway, E., Irizarry, R. A., Liu, J., Maier, D. S., Miller, M., Petersen, K., Quackenbush, J., Sherlock, G., Stoeckert, C. J., White, J., Whetzel, P. L., Wymore, F., Parkinson, H., Sarkans, U., Ball, C. A., & Brazma, A.
- Venue
- BMC Bioinformatics
- Published
- 2006-11-06
- Volume
- 7
- Issue
- 1
- Pages
- 489-489
- ISSN
- 1471-2105 (ISSN-L)
- OpenAlex
- W2130542009
- Cited by
- 217
- References
- 1
- FWCI
- 39.89
- Type
- journal article
- Language
- en
- Open access
- gold
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- Rayner, T. F., Rocca-Serra, P., Spellman, P. T., Causton, H. C., Farne, A., Holloway, E., Irizarry, R. A., Liu, J., Maier, D. S., Miller, M., Petersen, K., Quackenbush, J., Sherlock, G., Stoeckert, C. J., White, J., Whetzel, P. L., Wymore, F., Parkinson, H., Sarkans, U., . . . Brazma, A. (2006). A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB. BMC Bioinformatics. https://doi.org/10.1186/1471-2105-7-489
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.