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...

Full description

Saved in:
Bibliographic Details
Published in:Nucleic acids research 2008-01, Vol.36 (suppl-1), p.D871-D877
Main Authors: 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
Format: Article
Language:English
Subjects:
Databases, Genetic
Humans
Immunohistochemistry
In Situ Hybridization
Internet
Proteins - analysis
RNA, Messenger - analysis
Software
Tissue Array Analysis
User-Computer Interface
Citations: Items that this one cites
Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0305-1048
1362-4962
DOI:10.1093/nar/gkm861