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The Stanford Tissue Microarray Database
The Stanford Tissue Microarray Database (TMAD; http://tma.stanford.edu) is a public resource for disseminating annotated tissue images and associated expression data. Stanford University pathologists, researchers and their collaborators worldwide use TMAD for designing, viewing, scoring and analyzin...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238948/ https://www.ncbi.nlm.nih.gov/pubmed/17989087 http://dx.doi.org/10.1093/nar/gkm861 |
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author | Marinelli, Robert J. Montgomery, Kelli Liu, Chih Long Shah, Nigam H. Prapong, Wijan Nitzberg, Michael Zachariah, Zachariah K. Sherlock, Gavin J. Natkunam, Yasodha West, Robert B. van de Rijn, Matt Brown, Patrick O. Ball, Catherine A. |
author_facet | Marinelli, Robert J. Montgomery, Kelli Liu, Chih Long Shah, Nigam H. Prapong, Wijan Nitzberg, Michael Zachariah, Zachariah K. Sherlock, Gavin J. Natkunam, Yasodha West, Robert B. van de Rijn, Matt Brown, Patrick O. Ball, Catherine A. |
author_sort | Marinelli, Robert J. |
collection | PubMed |
description | The Stanford Tissue Microarray Database (TMAD; http://tma.stanford.edu) is a public resource for disseminating annotated tissue images and associated expression data. Stanford University pathologists, researchers and their collaborators worldwide use TMAD for designing, viewing, scoring and analyzing their tissue microarrays. The use of tissue microarrays allows hundreds of human tissue cores to be simultaneously probed by antibodies to detect protein abundance (Immunohistochemistry; IHC), or by labeled nucleic acids (in situ hybridization; ISH) to detect transcript abundance. TMAD archives multi-wavelength fluorescence and bright-field images of tissue microarrays for scoring and analysis. As of July 2007, TMAD contained 205 161 images archiving 349 distinct probes on 1488 tissue microarray slides. Of these, 31 306 images for 68 probes on 125 slides have been released to the public. To date, 12 publications have been based on these raw public data. TMAD incorporates the NCI Thesaurus ontology for searching tissues in the cancer domain. Image processing researchers can extract images and scores for training and testing classification algorithms. The production server uses the Apache HTTP Server, Oracle Database and Perl application code. Source code is available to interested researchers under a no-cost license. |
format | Text |
id | pubmed-2238948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-22389482008-02-12 The Stanford Tissue Microarray Database Marinelli, Robert J. Montgomery, Kelli Liu, Chih Long Shah, Nigam H. Prapong, Wijan Nitzberg, Michael Zachariah, Zachariah K. Sherlock, Gavin J. Natkunam, Yasodha West, Robert B. van de Rijn, Matt Brown, Patrick O. Ball, Catherine A. Nucleic Acids Res Articles The Stanford Tissue Microarray Database (TMAD; http://tma.stanford.edu) is a public resource for disseminating annotated tissue images and associated expression data. Stanford University pathologists, researchers and their collaborators worldwide use TMAD for designing, viewing, scoring and analyzing their tissue microarrays. The use of tissue microarrays allows hundreds of human tissue cores to be simultaneously probed by antibodies to detect protein abundance (Immunohistochemistry; IHC), or by labeled nucleic acids (in situ hybridization; ISH) to detect transcript abundance. TMAD archives multi-wavelength fluorescence and bright-field images of tissue microarrays for scoring and analysis. As of July 2007, TMAD contained 205 161 images archiving 349 distinct probes on 1488 tissue microarray slides. Of these, 31 306 images for 68 probes on 125 slides have been released to the public. To date, 12 publications have been based on these raw public data. TMAD incorporates the NCI Thesaurus ontology for searching tissues in the cancer domain. Image processing researchers can extract images and scores for training and testing classification algorithms. The production server uses the Apache HTTP Server, Oracle Database and Perl application code. Source code is available to interested researchers under a no-cost license. Oxford University Press 2008-01 2007-11-07 /pmc/articles/PMC2238948/ /pubmed/17989087 http://dx.doi.org/10.1093/nar/gkm861 Text en © 2007 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Marinelli, Robert J. Montgomery, Kelli Liu, Chih Long Shah, Nigam H. Prapong, Wijan Nitzberg, Michael Zachariah, Zachariah K. Sherlock, Gavin J. Natkunam, Yasodha West, Robert B. van de Rijn, Matt Brown, Patrick O. Ball, Catherine A. The Stanford Tissue Microarray Database |
title | The Stanford Tissue Microarray Database |
title_full | The Stanford Tissue Microarray Database |
title_fullStr | The Stanford Tissue Microarray Database |
title_full_unstemmed | The Stanford Tissue Microarray Database |
title_short | The Stanford Tissue Microarray Database |
title_sort | stanford tissue microarray database |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2238948/ https://www.ncbi.nlm.nih.gov/pubmed/17989087 http://dx.doi.org/10.1093/nar/gkm861 |
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