seeQTL: a searchable database for human eQTLs

Summary: seeQTL is a comprehensive and versatile eQTL database, including various eQTL studies and a meta-analysis of HapMap eQTL information. The database presents eQTL association results in a convenient browser, using both segmented local-association plots and genome-wide Manhattan plots. Availab...

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Detalles Bibliográficos
Autores principales: Xia, Kai, Shabalin, Andrey A., Huang, Shunping, Madar, Vered, Zhou, Yi-Hui, Wang, Wei, Zou, Fei, Sun, Wei, Sullivan, Patrick F., Wright, Fred A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3268245/
https://www.ncbi.nlm.nih.gov/pubmed/22171328
http://dx.doi.org/10.1093/bioinformatics/btr678
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author Xia, Kai
Shabalin, Andrey A.
Huang, Shunping
Madar, Vered
Zhou, Yi-Hui
Wang, Wei
Zou, Fei
Sun, Wei
Sullivan, Patrick F.
Wright, Fred A.
author_facet Xia, Kai
Shabalin, Andrey A.
Huang, Shunping
Madar, Vered
Zhou, Yi-Hui
Wang, Wei
Zou, Fei
Sun, Wei
Sullivan, Patrick F.
Wright, Fred A.
author_sort Xia, Kai
collection PubMed
description Summary: seeQTL is a comprehensive and versatile eQTL database, including various eQTL studies and a meta-analysis of HapMap eQTL information. The database presents eQTL association results in a convenient browser, using both segmented local-association plots and genome-wide Manhattan plots. Availability and implementation: seeQTL is freely available for non-commercial use at http://www.bios.unc.edu/research/genomic_software/seeQTL/. Contact: fred_wright@unc.edu; kxia@bios.unc.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-32682452012-01-30 seeQTL: a searchable database for human eQTLs Xia, Kai Shabalin, Andrey A. Huang, Shunping Madar, Vered Zhou, Yi-Hui Wang, Wei Zou, Fei Sun, Wei Sullivan, Patrick F. Wright, Fred A. Bioinformatics Applications Note Summary: seeQTL is a comprehensive and versatile eQTL database, including various eQTL studies and a meta-analysis of HapMap eQTL information. The database presents eQTL association results in a convenient browser, using both segmented local-association plots and genome-wide Manhattan plots. Availability and implementation: seeQTL is freely available for non-commercial use at http://www.bios.unc.edu/research/genomic_software/seeQTL/. Contact: fred_wright@unc.edu; kxia@bios.unc.edu Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2012-02-01 2011-12-13 /pmc/articles/PMC3268245/ /pubmed/22171328 http://dx.doi.org/10.1093/bioinformatics/btr678 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Xia, Kai
Shabalin, Andrey A.
Huang, Shunping
Madar, Vered
Zhou, Yi-Hui
Wang, Wei
Zou, Fei
Sun, Wei
Sullivan, Patrick F.
Wright, Fred A.
seeQTL: a searchable database for human eQTLs
title seeQTL: a searchable database for human eQTLs
title_full seeQTL: a searchable database for human eQTLs
title_fullStr seeQTL: a searchable database for human eQTLs
title_full_unstemmed seeQTL: a searchable database for human eQTLs
title_short seeQTL: a searchable database for human eQTLs
title_sort seeqtl: a searchable database for human eqtls
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3268245/
https://www.ncbi.nlm.nih.gov/pubmed/22171328
http://dx.doi.org/10.1093/bioinformatics/btr678
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