This digital resource is a seminal scientific article published in Nature Genetics, introducing the Minimum Information About a Microarray Experiment (MIAME) guidelines. MIAME is a community-developed standard that specifies the minimum information required to describe a microarray experiment, ensuring that the results can be unambiguously interpreted and potentially reproduced by others. The article outlines the six most critical elements of MIAME: raw data for each hybridization, final processed data, essential sample annotation (including experimental factors), experimental design (including sample data relationships), sufficient array annotation (e.g., gene identifiers, probe sequences), and essential laboratory and data processing protocols. The goal is to facilitate data sharing, comparison, and re-analysis. MIAME has become a widely adopted standard in the genomics community, often required by scientific journals and public repositories like Gene Expression Omnibus (GEO) and ArrayExpress for data submission. Adherence to MIAME principles improves the quality, accessibility, and utility of microarray data, enabling researchers to build upon existing findings and conduct robust meta-analyses. This publication is crucial for any researcher involved in microarray experiments, data analysis, or data submission. It provides the foundational understanding of data reporting standards, which are essential for ensuring the transparency, reproducibility, and long-term value of genomic research. The principles of MIAME have also influenced data reporting standards for other high-throughput technologies.

Faculty of Medicine and Health Sciences
Research lab focused on advancing scientific knowledge and innovation.
This digital resource is a seminal scientific article published in Nature Genetics, introducing the Minimum Information About a Microarray Experiment (MIAME) guidelines. MIAME is a community-developed standard that specifies the minimum information required to describe a microarray experiment, ensuring that the results can be unambiguously interpreted and potentially reproduced by others. The article outlines the six most critical elements of MIAME: raw data for each hybridization, final processed data, essential sample annotation (including experimental factors), experimental design (including sample data relationships), sufficient array annotation (e.g., gene identifiers, probe sequences), and essential laboratory and data processing protocols. The goal is to facilitate data sharing, comparison, and re-analysis. MIAME has become a widely adopted standard in the genomics community, often required by scientific journals and public repositories like Gene Expression Omnibus (GEO) and ArrayExpress for data submission. Adherence to MIAME principles improves the quality, accessibility, and utility of microarray data, enabling researchers to build upon existing findings and conduct robust meta-analyses. This publication is crucial for any researcher involved in microarray experiments, data analysis, or data submission. It provides the foundational understanding of data reporting standards, which are essential for ensuring the transparency, reproducibility, and long-term value of genomic research. The principles of MIAME have also influenced data reporting standards for other high-throughput technologies.

Faculty of Medicine and Health Sciences
Research lab focused on advancing scientific knowledge and innovation.
Discover more resources that could support your research