Minimum information about a microarray experiment (MIAME)—toward standards for microarray data

By Alvis Brazma, P. Hingamp, John Quackenbush, Gavin Sherlock, P. Spellman, Christian J. Stoeckert Jr., John D Aach, W. Ansorge, C. Ball, Helen C. Causton and 14 more. 2001

4,236 citations recorded by the source corpus.

Subfields: Molecular Biology, Computational Biology & Bioinformatics

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Citations in the corpus

The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration (2007, background): “MIBBI provides information resources to promote the consolidation of the many prescriptive checklists that specify core metadata items to be included when reporting results in a variety of experimentation domains 45 .”
State of the nation in data integration for bioinformatics (2008, background): “The various minimal information recommendations such as MIAME [9] and others 5 [10] [11] are good examples.”
Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology (2017, methodology): “In the same way as the REporting recommendations for tumour MARKer prognostic studies (REMARK) [106] or the Minimum information about a microarray experiment (MIAME) [107] guidelines, recommendations specific to radiomics are necessary.”
Metabolomics technology and bioinformatics (2006, methodology): “protocol for microarray data [122], but has a number”
Model-based variance-stabilizing transformation for Illumina microarray data (2008, background): “First, we translated the standard error of the mean into the standard deviation: STDERR ffiffiffiffi N p , where STDERR is the standard error of the mean, and N is the number of the beads for the probe; then we fitted the probe mean and variance relations, as shown in Equation (4).”
Ten Simple Rules for Reproducible Computational Research (2013, background): “Various solutions have now become available to make data sharing more convenient, standardized, and accessible in particular domains, such as for gene expression data [21– 23].”
The Botany Array Resource: e-Northerns, Expression Angling, and promoter analyses. (2005, methodology): “0 algorithm with a target value of 500), they are entered into the BAR database along with the MIAME-compliant experimental details (Brazma et al. , 2001).”
ArrayExpress update—trends in database growth and links to data analysis tools (2012, methodology): “The MIAME/MINSEQE scores associated with an experiment are displayed in the ArrayExpress interface and provided to submitters.”
Towards standardization of RNA quality assessment using user-independent classifiers of microcapillary electrophoresis traces (2005, neutral): “In this context, we suggest that the growing number of laboratories performing RNA Quality Control by microcapillary electrophoresis should be offered the option to report objective RNA quality metrics as part of the ‘Minimum Information About a Microarray Experiment’ MIAME standards (29).”
Standardization of sample collection, isolation and analysis methods in extracellular vesicle research (2013, positive): “Database submission Data submission is mandated by most journals (95,96) and independent studies have found that unavailability of data is associated with low data or study quality (94, 97,98); however, compliance remains poor (94,99,100).”