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A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB
BACKGROUND: Sharing of microarray data within the research community has been greatly facilitated by the development of the disclosure and communication standards MIAME and MAGE-ML by the MGED Society. However, the complexity of the MAGE-ML format has made its use impractical for laboratories lackin...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1687205/ https://www.ncbi.nlm.nih.gov/pubmed/17087822 http://dx.doi.org/10.1186/1471-2105-7-489 |
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author | Rayner, Tim F Rocca-Serra, Philippe Spellman, Paul T Causton, Helen C Farne, Anna Holloway, Ele Irizarry, Rafael A Liu, Junmin Maier, Donald S Miller, Michael Petersen, Kjell Quackenbush, John Sherlock, Gavin Stoeckert, Christian J White, Joseph Whetzel, Patricia L Wymore, Farrell Parkinson, Helen Sarkans, Ugis Ball, Catherine A Brazma, Alvis |
author_facet | Rayner, Tim F Rocca-Serra, Philippe Spellman, Paul T Causton, Helen C Farne, Anna Holloway, Ele Irizarry, Rafael A Liu, Junmin Maier, Donald S Miller, Michael Petersen, Kjell Quackenbush, John Sherlock, Gavin Stoeckert, Christian J White, Joseph Whetzel, Patricia L Wymore, Farrell Parkinson, Helen Sarkans, Ugis Ball, Catherine A Brazma, Alvis |
author_sort | Rayner, Tim F |
collection | PubMed |
description | BACKGROUND: Sharing of microarray data within the research community has been greatly facilitated by the development of the disclosure and communication standards MIAME and MAGE-ML by the MGED Society. However, the complexity of the MAGE-ML format has made its use impractical for laboratories lacking dedicated bioinformatics support. RESULTS: We propose a simple tab-delimited, spreadsheet-based format, MAGE-TAB, which will become a part of the MAGE microarray data standard and can be used for annotating and communicating microarray data in a MIAME compliant fashion. CONCLUSION: MAGE-TAB will enable laboratories without bioinformatics experience or support to manage, exchange and submit well-annotated microarray data in a standard format using a spreadsheet. The MAGE-TAB format is self-contained, and does not require an understanding of MAGE-ML or XML. |
format | Text |
id | pubmed-1687205 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-16872052006-12-07 A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB Rayner, Tim F Rocca-Serra, Philippe Spellman, Paul T Causton, Helen C Farne, Anna Holloway, Ele Irizarry, Rafael A Liu, Junmin Maier, Donald S Miller, Michael Petersen, Kjell Quackenbush, John Sherlock, Gavin Stoeckert, Christian J White, Joseph Whetzel, Patricia L Wymore, Farrell Parkinson, Helen Sarkans, Ugis Ball, Catherine A Brazma, Alvis BMC Bioinformatics Commentary BACKGROUND: Sharing of microarray data within the research community has been greatly facilitated by the development of the disclosure and communication standards MIAME and MAGE-ML by the MGED Society. However, the complexity of the MAGE-ML format has made its use impractical for laboratories lacking dedicated bioinformatics support. RESULTS: We propose a simple tab-delimited, spreadsheet-based format, MAGE-TAB, which will become a part of the MAGE microarray data standard and can be used for annotating and communicating microarray data in a MIAME compliant fashion. CONCLUSION: MAGE-TAB will enable laboratories without bioinformatics experience or support to manage, exchange and submit well-annotated microarray data in a standard format using a spreadsheet. The MAGE-TAB format is self-contained, and does not require an understanding of MAGE-ML or XML. BioMed Central 2006-11-06 /pmc/articles/PMC1687205/ /pubmed/17087822 http://dx.doi.org/10.1186/1471-2105-7-489 Text en Copyright © 2006 Rayner 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 | Commentary Rayner, Tim F Rocca-Serra, Philippe Spellman, Paul T Causton, Helen C Farne, Anna Holloway, Ele Irizarry, Rafael A Liu, Junmin Maier, Donald S Miller, Michael Petersen, Kjell Quackenbush, John Sherlock, Gavin Stoeckert, Christian J White, Joseph Whetzel, Patricia L Wymore, Farrell Parkinson, Helen Sarkans, Ugis Ball, Catherine A Brazma, Alvis A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB |
title | A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB |
title_full | A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB |
title_fullStr | A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB |
title_full_unstemmed | A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB |
title_short | A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB |
title_sort | simple spreadsheet-based, miame-supportive format for microarray data: mage-tab |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1687205/ https://www.ncbi.nlm.nih.gov/pubmed/17087822 http://dx.doi.org/10.1186/1471-2105-7-489 |
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