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An online database for brain disease research
BACKGROUND: The Stanley Medical Research Institute online genomics database (SMRIDB) is a comprehensive web-based system for understanding the genetic effects of human brain disease (i.e. bipolar, schizophrenia, and depression). This database contains fully annotated clinical metadata and gene expre...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1489945/ https://www.ncbi.nlm.nih.gov/pubmed/16594998 http://dx.doi.org/10.1186/1471-2164-7-70 |
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author | Higgs, Brandon W Elashoff, Michael Richman, Sam Barci, Beata |
author_facet | Higgs, Brandon W Elashoff, Michael Richman, Sam Barci, Beata |
author_sort | Higgs, Brandon W |
collection | PubMed |
description | BACKGROUND: The Stanley Medical Research Institute online genomics database (SMRIDB) is a comprehensive web-based system for understanding the genetic effects of human brain disease (i.e. bipolar, schizophrenia, and depression). This database contains fully annotated clinical metadata and gene expression patterns generated within 12 controlled studies across 6 different microarray platforms. DESCRIPTION: A thorough collection of gene expression summaries are provided, inclusive of patient demographics, disease subclasses, regulated biological pathways, and functional classifications. CONCLUSION: The combination of database content, structure, and query speed offers researchers an efficient tool for data mining of brain disease complete with information such as: cross-platform comparisons, biomarkers elucidation for target discovery, and lifestyle/demographic associations to brain diseases. |
format | Text |
id | pubmed-1489945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-14899452006-07-08 An online database for brain disease research Higgs, Brandon W Elashoff, Michael Richman, Sam Barci, Beata BMC Genomics Database BACKGROUND: The Stanley Medical Research Institute online genomics database (SMRIDB) is a comprehensive web-based system for understanding the genetic effects of human brain disease (i.e. bipolar, schizophrenia, and depression). This database contains fully annotated clinical metadata and gene expression patterns generated within 12 controlled studies across 6 different microarray platforms. DESCRIPTION: A thorough collection of gene expression summaries are provided, inclusive of patient demographics, disease subclasses, regulated biological pathways, and functional classifications. CONCLUSION: The combination of database content, structure, and query speed offers researchers an efficient tool for data mining of brain disease complete with information such as: cross-platform comparisons, biomarkers elucidation for target discovery, and lifestyle/demographic associations to brain diseases. BioMed Central 2006-04-04 /pmc/articles/PMC1489945/ /pubmed/16594998 http://dx.doi.org/10.1186/1471-2164-7-70 Text en Copyright © 2006 Higgs 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 Higgs, Brandon W Elashoff, Michael Richman, Sam Barci, Beata An online database for brain disease research |
title | An online database for brain disease research |
title_full | An online database for brain disease research |
title_fullStr | An online database for brain disease research |
title_full_unstemmed | An online database for brain disease research |
title_short | An online database for brain disease research |
title_sort | online database for brain disease research |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1489945/ https://www.ncbi.nlm.nih.gov/pubmed/16594998 http://dx.doi.org/10.1186/1471-2164-7-70 |
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