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MiMiR: a comprehensive solution for storage, annotation and exchange of microarray data

BACKGROUND: The generation of large amounts of microarray data presents challenges for data collection, annotation, exchange and analysis. Although there are now widely accepted formats, minimum standards for data content and ontologies for microarray data, only a few groups are using them together...

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Autores principales: Navarange, Mahendra, Game, Laurence, Fowler, Derek, Wadekar, Vihar, Banks, Helen, Cooley, Nicola, Rahman, Fatimah, Hinshelwood, Justin, Broderick, Peter, Causton, Helen C
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1299320/
https://www.ncbi.nlm.nih.gov/pubmed/16280078
http://dx.doi.org/10.1186/1471-2105-6-268
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author Navarange, Mahendra
Game, Laurence
Fowler, Derek
Wadekar, Vihar
Banks, Helen
Cooley, Nicola
Rahman, Fatimah
Hinshelwood, Justin
Broderick, Peter
Causton, Helen C
author_facet Navarange, Mahendra
Game, Laurence
Fowler, Derek
Wadekar, Vihar
Banks, Helen
Cooley, Nicola
Rahman, Fatimah
Hinshelwood, Justin
Broderick, Peter
Causton, Helen C
author_sort Navarange, Mahendra
collection PubMed
description BACKGROUND: The generation of large amounts of microarray data presents challenges for data collection, annotation, exchange and analysis. Although there are now widely accepted formats, minimum standards for data content and ontologies for microarray data, only a few groups are using them together to build and populate large-scale databases. Structured environments for data management are crucial for making full use of these data. DESCRIPTION: The MiMiR database provides a comprehensive infrastructure for microarray data annotation, storage and exchange and is based on the MAGE format. MiMiR is MIAME-supportive, customised for use with data generated on the Affymetrix platform and includes a tool for data annotation using ontologies. Detailed information on the experiment, methods, reagents and signal intensity data can be captured in a systematic format. Reports screens permit the user to query the database, to view annotation on individual experiments and provide summary statistics. MiMiR has tools for automatic upload of the data from the microarray scanner and export to databases using MAGE-ML. CONCLUSION: MiMiR facilitates microarray data management, annotation and exchange, in line with international guidelines. The database is valuable for underpinning research activities and promotes a systematic approach to data handling. Copies of MiMiR are freely available to academic groups under licence.
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spelling pubmed-12993202005-12-03 MiMiR: a comprehensive solution for storage, annotation and exchange of microarray data Navarange, Mahendra Game, Laurence Fowler, Derek Wadekar, Vihar Banks, Helen Cooley, Nicola Rahman, Fatimah Hinshelwood, Justin Broderick, Peter Causton, Helen C BMC Bioinformatics Database BACKGROUND: The generation of large amounts of microarray data presents challenges for data collection, annotation, exchange and analysis. Although there are now widely accepted formats, minimum standards for data content and ontologies for microarray data, only a few groups are using them together to build and populate large-scale databases. Structured environments for data management are crucial for making full use of these data. DESCRIPTION: The MiMiR database provides a comprehensive infrastructure for microarray data annotation, storage and exchange and is based on the MAGE format. MiMiR is MIAME-supportive, customised for use with data generated on the Affymetrix platform and includes a tool for data annotation using ontologies. Detailed information on the experiment, methods, reagents and signal intensity data can be captured in a systematic format. Reports screens permit the user to query the database, to view annotation on individual experiments and provide summary statistics. MiMiR has tools for automatic upload of the data from the microarray scanner and export to databases using MAGE-ML. CONCLUSION: MiMiR facilitates microarray data management, annotation and exchange, in line with international guidelines. The database is valuable for underpinning research activities and promotes a systematic approach to data handling. Copies of MiMiR are freely available to academic groups under licence. BioMed Central 2005-11-09 /pmc/articles/PMC1299320/ /pubmed/16280078 http://dx.doi.org/10.1186/1471-2105-6-268 Text en Copyright © 2005 Navarange et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database
Navarange, Mahendra
Game, Laurence
Fowler, Derek
Wadekar, Vihar
Banks, Helen
Cooley, Nicola
Rahman, Fatimah
Hinshelwood, Justin
Broderick, Peter
Causton, Helen C
MiMiR: a comprehensive solution for storage, annotation and exchange of microarray data
title MiMiR: a comprehensive solution for storage, annotation and exchange of microarray data
title_full MiMiR: a comprehensive solution for storage, annotation and exchange of microarray data
title_fullStr MiMiR: a comprehensive solution for storage, annotation and exchange of microarray data
title_full_unstemmed MiMiR: a comprehensive solution for storage, annotation and exchange of microarray data
title_short MiMiR: a comprehensive solution for storage, annotation and exchange of microarray data
title_sort mimir: a comprehensive solution for storage, annotation and exchange of microarray data
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1299320/
https://www.ncbi.nlm.nih.gov/pubmed/16280078
http://dx.doi.org/10.1186/1471-2105-6-268
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