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TiSGeD: a database for tissue-specific genes
Summary: The tissue-specific genes are a group of genes whose function and expression are preferred in one or several tissues/cell types. Identification of these genes helps better understanding of tissue–gene relationship, etiology and discovery of novel tissue-specific drug targets. In this study,...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859128/ https://www.ncbi.nlm.nih.gov/pubmed/20223836 http://dx.doi.org/10.1093/bioinformatics/btq109 |
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author | Xiao, Sheng-Jian Zhang, Chi Zou, Quan Ji, Zhi-Liang |
author_facet | Xiao, Sheng-Jian Zhang, Chi Zou, Quan Ji, Zhi-Liang |
author_sort | Xiao, Sheng-Jian |
collection | PubMed |
description | Summary: The tissue-specific genes are a group of genes whose function and expression are preferred in one or several tissues/cell types. Identification of these genes helps better understanding of tissue–gene relationship, etiology and discovery of novel tissue-specific drug targets. In this study, a statistical method is introduced to detect tissue-specific genes from more than 123 125 gene expression profiles over 107 human tissues, 67 mouse tissues and 30 rat tissues. As a result, a novel subject-specialized repository, namely the tissue-specific genes database (TiSGeD), is developed to represent the analyzed results. Auxiliary information of tissue-specific genes was also collected from biomedical literatures. Availability: http://bioinf.xmu.edu.cn/databases/TiSGeD/index.html Contact: appo@bioinf.xmu.edu.cn; zhiliang.ji@gmail.com |
format | Text |
id | pubmed-2859128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28591282010-04-26 TiSGeD: a database for tissue-specific genes Xiao, Sheng-Jian Zhang, Chi Zou, Quan Ji, Zhi-Liang Bioinformatics Applications Note Summary: The tissue-specific genes are a group of genes whose function and expression are preferred in one or several tissues/cell types. Identification of these genes helps better understanding of tissue–gene relationship, etiology and discovery of novel tissue-specific drug targets. In this study, a statistical method is introduced to detect tissue-specific genes from more than 123 125 gene expression profiles over 107 human tissues, 67 mouse tissues and 30 rat tissues. As a result, a novel subject-specialized repository, namely the tissue-specific genes database (TiSGeD), is developed to represent the analyzed results. Auxiliary information of tissue-specific genes was also collected from biomedical literatures. Availability: http://bioinf.xmu.edu.cn/databases/TiSGeD/index.html Contact: appo@bioinf.xmu.edu.cn; zhiliang.ji@gmail.com Oxford University Press 2010-05-01 2010-03-11 /pmc/articles/PMC2859128/ /pubmed/20223836 http://dx.doi.org/10.1093/bioinformatics/btq109 Text en © The Author(s) 2010. Published by Oxford University Press. 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/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Xiao, Sheng-Jian Zhang, Chi Zou, Quan Ji, Zhi-Liang TiSGeD: a database for tissue-specific genes |
title | TiSGeD: a database for tissue-specific genes |
title_full | TiSGeD: a database for tissue-specific genes |
title_fullStr | TiSGeD: a database for tissue-specific genes |
title_full_unstemmed | TiSGeD: a database for tissue-specific genes |
title_short | TiSGeD: a database for tissue-specific genes |
title_sort | tisged: a database for tissue-specific genes |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859128/ https://www.ncbi.nlm.nih.gov/pubmed/20223836 http://dx.doi.org/10.1093/bioinformatics/btq109 |
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