Minimum information about a microarray experiment

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Minimum information about a microarray experiment (MIAME) is a standard created by the FGED Society for reporting microarray experiments.

MIAME is intended to specify all the information necessary to interpret the results of the experiment unambiguously and to potentially reproduce the experiment. While the standard defines the content required for compliant reports, it does not specify the format in which this data should be presented. MIAME describes the minimum information required to ensure that microarray data can be easily interpreted and that results derived from its analysis can be independently verified. There are a number of file formats used to represent this data, as well as both public and subscription-based repositories for such experiments. Additionally, software exists to aid the preparation of MIAME-compliant reports.

MIAME revolves around six key components: raw data, normalized data, sample annotations, experimental design, array annotations, and data protocols.

References

"MIAME home page". FGED Society website. Retrieved 2012-09-13.
^ Brazma, Alvis; Hingamp, Pascal; Quackenbush, John; Sherlock, Gavin; Spellman, Paul; Stoeckert, Chris; Aach, John; Ansorge, Wilhelm; Ball, Catherine A.; Causton, Helen C.; Gaasterland, Terry; Glenisson, Patrick; Holstege, Frank C.P.; Kim, Irene F.; Markowitz, Victor; Matese, John C.; Parkinson, Helen; Robinson, Alan; Sarkans, Ugis; Schulze-Kremer, Steffen; Stewart, Jason; Taylor, Ronald; Vilo, Jaak; Vingron, Martin (December 2001). "Minimum information about a microarray experiment (MIAME)—toward standards for microarray data". Nature Genetics. 29 (4): 365–371. doi:10.1038/ng1201-365. ISSN 1061-4036. PMID 11726920. S2CID 6994467.

Gene expression

Introduction
to genetics

Transcription

Types	Bacterial Archaeal Eukaryotic
Key elements	Transcription factor RNA polymerase Promoter
Post-transcription	Precursor mRNA (pre-mRNA / hnRNA) 5' capping Splicing Polyadenylation Histone acetylation and deacetylation

Translation

Types	Bacterial Archaeal Eukaryotic
Key elements	Ribosome Transfer RNA (tRNA) Ribosome-nascent chain complex (RNC) Post-translational modification

Regulation

Influential people

v t e Design of experiments
Scientific method	Scientific experiment Statistical design Control Internal and external validity Experimental unit Blinding Optimal design: Bayesian Random assignment Randomization Restricted randomization Replication versus subsampling Sample size
Treatment and blocking	Treatment Effect size Contrast Interaction Confounding Orthogonality Blocking Covariate Nuisance variable
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Designs Completely randomized	Factorial Fractional factorial Plackett–Burman Taguchi Response surface methodology Polynomial and rational modeling Box–Behnken Central composite Block Generalized randomized block design (GRBD) Latin square Graeco-Latin square Orthogonal array Latin hypercube Repeated measures design Crossover study Randomized controlled trial Sequential analysis Sequential probability ratio test
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