standards > model/format > DOI:10.25504/FAIRsharing.gaegy8


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ready MIAME Notation in Markup Language

Abbreviation: MINiML


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General Information
MINiML (MIAME Notation in Markup Language, pronounced 'minimal') is a data exchange format optimized for microarray gene expression data, as well as many other types of high-throughput molecular abundance data. MINiML assumes only very basic relations between objects: Platform (e.g., array), Sample (e.g., hybridization), and Series (experiment). MINiML captures all components of the MIAME checklist, as well as any additional information that the submitter wants to provide. MINiML uses XML Schema as syntax.

Homepage http://www.ncbi.nlm.nih.gov/geo/info/MINiML.html

Developed in United States

Taxonomic range






In the following recommendations:



How to cite this record FAIRsharing.org: MINiML; MIAME Notation in Markup Language; DOI: https://doi.org/10.25504/FAIRsharing.gaegy8; Last edited: July 17, 2018, 8:23 a.m.; Last accessed: Nov 13 2018 9:15 p.m.


This record is maintained by barrett

Record updated: July 17, 2018, 8:23 a.m. by The FAIRsharing Team.

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In Collections
DNA Microarray
bioCADDIE


Support

General

online documentation Guidelines

Additional Information

Contact GEO Administrators

Tools

    No tools defined


Schemas
  • Name: MiniML
  • Version: 0.5.4
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Access / Retrieve Data

Conditions of Use


Data Curation

GEO Batch Submission http://www.ncbi.nlm.nih.gov/geo/submission/depslip.cgi

Data Access

Download ftp://ftp.ncbi.nlm.nih.gov/geo/



Publications

No publications available


Related Standards

Terminology Artifacts

No semantic standards defined

Models and Formats

Identifier Schemas

No identifier schema standards defined


Implementing Databases (2)
Gene Expression Omnibus
The Gene Expression Omnibus (GEO) is a public repository that archives and freely distributes microarray, next-generation sequencing, and other forms of high-throughput functional genomic data submitted by the scientific community. In addition to data storage, a collection of web-based interfaces and applications are available to help users query and download the studies and gene expression patterns stored in GEO.
SICAS medical image repository
The Sicas Medical Image Repository is a centralized storage system where the data such as Images, Segmentations, SSM can be used to build and shared statistical shape models. Dicom, ITK based images and statistical models in the statismo format can be stored on SMIR.


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  • This record is maintained by barrett

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