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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...

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Autores principales: 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.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
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.
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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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