A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB

Tim F. Rayner, Philippe Rocca-Serra, Paul T. Spellman, Helen C. Causton, Anna Farne, Ele Holloway, Rafael A. Irizarry, Junmin Liu, Donald S. Maier, Michael Miller, Kjell Petersen, John Quackenbush, Gavin Sherlock, Christian J. Stoeckert, Joseph White, Patricia L. Whetzel, Farrell Wymore, Helen Parkinson, Ugis Sarkans, Catherine A. BallAlvis Brazma

Research output: Contribution to journalArticlepeer-review

153 Scopus citations


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.

Original languageEnglish (US)
Article number489
JournalBMC Bioinformatics
StatePublished - Nov 6 2006
Externally publishedYes

ASJC Scopus subject areas

  • Structural Biology
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Applied Mathematics


Dive into the research topics of 'A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB'. Together they form a unique fingerprint.

Cite this