MicroArray Gene Expression Tabular Format
How to cite this record FAIRsharing.org: MAGE-TAB; MicroArray Gene Expression Tabular Format; DOI: https://doi.org/10.25504/FAIRsharing.ak8p5g; Last edited: Jan. 8, 2019, 1:40 p.m.; Last accessed: Aug 05 2020 7:54 p.m.
Record updated: July 7, 2016, 10:40 p.m. by The FAIRsharing Team.
No XSD schemas defined
Conditions of Use
A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB.
BMC Bioinformatics 2006
Models and Formats
No syntax standards defined
No identifier schema standards defined
No metrics standards defined
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The Expression Atlas is a free resource providing information on gene expression patterns under different biological conditions in a variety of species. Gene expression data is re-analysed in-house to detect genes showing interesting baseline and differential expression patterns, allowing a user to ask questions such as "what are the genes expressed in normal human liver" and "what genes are differentially expressed between water-stressed rice plants and controls with normal watering?". The resource features proteomics data sets provided by collaborators for corroboration between gene- and protein-level expression results. The latest component, Single Cell Expression Atlas, systematically reanalyses and visualises single cell RNA-sequencing datasets and helps answering questions like in what cell population a gene can act as a marker gene.
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Genomic Expression Archive
Genomic Expression Archive (GEA) is a public database of functional genomics data such as gene expression, epigenetics and genotyping SNP array. Both microarray- and sequence-based data are accepted in the MAGE-TAB format in compliance with MIAME and MINSEQE guidelines, respectively. GEA issues accession numbers, E-GEAD-n to experiment and A-GEAD-n to array design.
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Functional Genomics Data Society (FGED) (Consortium)