seeQTL: a searchable database for human eQTLs
2011; Oxford University Press; Volume: 28; Issue: 3 Linguagem: Inglês
10.1093/bioinformatics/btr678
ISSN1367-4811
AutoresKai Xia, Andrey A. Shabalin, Shun‐Ping Huang, Vered Madar, Yi-Hui Zhou, Wei Wang, Fei Zou, Wei Sun, Patrick F. Sullivan, Fred A. Wright,
Tópico(s)Genetic Associations and Epidemiology
ResumoAbstract 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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