ArticleBMC bioinformatics2006
A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB.
Article in BMC bioinformatics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
120 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- An integrated landscape of protein expression in human cancer.Scientific data · 2021Pooled it
- Minimum information specification for in situ hybridization and immunohistochemistry experiments (MISFISHIE).Nature biotechnology · 2008Guideline
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- FRED enables standardized FAIR metadata generation and management for omics research.Scientific reports · 2026Article
- AI for scientific discovery is a social problem.Patterns (New York, N.Y.) · 2026Review
- Facilitating analysis and dissemination of proteomics data through metadata integration in MaxQuant.Nature communications · 2025Article
- The SPHN Schema Forge - transform healthcare semantics from human-readable to machine-readable by leveraging semantic web technologies.Journal of biomedical semantics · 2025Article
- Expression Atlas update: insights from sequencing data at both bulk and single cell level.Nucleic acids research · 2024Article
- DDBJ update in 2023: the MetaboBank for metabolomics data and associated metadata.Nucleic acids research · 2024Article
- Building a FAIR data ecosystem for incorporating single-cell transcriptomics data into agricultural genome to phenome research.Frontiers in genetics · 2024Article
- Providing open imaging data at scale: An EMBL-EBI perspective.Histochemistry and cell biology · 2023Article
- FAIR High Content Screening in Bioimaging.Scientific data · 2023Article
- Genealyzer: web application for the analysis and comparison of gene expression data.BMC bioinformatics · 2023Article
- Proteomics Standards Initiative at Twenty Years: Current Activities and Future Work.Journal of proteome research · 2023Review
- DNA Data Bank of Japan (DDBJ) update report 2022.Nucleic acids research · 2023Article
- Toward a data infrastructure for the Plant Cell Atlas.Plant physiology · 2023Review
- Modeling community standards for metadata as templates makes data FAIR.Scientific data · 2022Article
- MITI minimum information guidelines for highly multiplexed tissue images.Nature methods · 2022Article
- The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences.Nucleic acids research · 2022Article
- A proteomics sample metadata representation for multiomics integration and big data analysis.Nature communications · 2021Review
60 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
Abstract
backgroundSharing 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.
resultsWe 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.
conclusionMAGE-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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.