Minimal Information about a high throughput SEQuencing Experiment
Abbreviation: MINSEQE
Homepage http://fged.org/projects/minseqe/
Countries that developed this resource Worldwide
Created in 2008
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How to cite this record FAIRsharing.org: MINSEQE; Minimal Information about a high throughput SEQuencing Experiment; DOI: https://doi.org/10.25504/FAIRsharing.a55z32; Last edited: Jan. 8, 2019, 1:29 p.m.; Last accessed: Mar 01 2021 8:05 p.m.
Record updated: July 18, 2018, 7:17 a.m. by The FAIRsharing Team.
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ArrayExpress is a database of functional genomics experiments that can be queried and the data downloaded. It includes gene expression data from microarray and high throughput sequencing studies. Data is collected to MIAME and MINSEQE standards. Experiments are submitted directly to ArrayExpress or are imported from the NCBI GEO database.
Sequence Read Archive
The Sequence Read Archive (SRA) stores raw sequencing data from the next generation of sequencing platforms Data submitted to SRA. It is organized using a metadata model consisting of six objects: study, sample, experiment, run, analysis and submission. The SRA study contains high-level information including goals of the study and literature references, and may be linked to the INSDC BioProject database.
Genome Sequence Archive
GSA is a data repository specialized for archiving raw sequence reads. It supports data generated from a variety of sequencing platforms ranging from Sanger sequencing machines to single-cell sequencing machines and provides data storing and sharing services free of charge for worldwide scientific communities. In addition to raw sequencing data, GSA also accommodates secondary analyzed files in acceptable formats (like BAM, VCF). Its user-friendly web interfaces simplify data entry and submitted data are roughly organized as two parts, viz., Metadata and File, where the former can be further assorted into BioProject, BioSample, Experiment and Run, and the latter contains raw sequence reads.
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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