standards > reporting guideline > DOI:10.25504/FAIRsharing.a55z32


ready Minimal Information about a high throughput SEQuencing Experiment

Abbreviation: MINSEQE


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General Information
MINSEQE describes the Minimum Information about a high-throughput nucleotide SEQuencing Experiment that is needed to enable the unambiguous interpretation and facilitate reproduction of the results of the experiment. By analogy to the MIAME guidelines for microarray experiments, adherence to the MINSEQE guidelines will improve integration of multiple experiments across different modalities, thereby maximising the value of high-throughput research.

Homepage http://fged.org/projects/minseqe/

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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 31 2020 9:14 p.m.


Record updated: July 18, 2018, 7:17 a.m. by The FAIRsharing Team.

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In Collections
FAIRDOM Community Standards
Minimum Information for Biological and Biomedical Investigations


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Implementing Databases (4)
ArrayExpress
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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