seeQTL: a searchable database for human eQTLs
Open Access
- 13 December 2011
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 28 (3), 451-452
- https://doi.org/10.1093/bioinformatics/btr678
Abstract
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.This publication has 17 references indexed in Scilit:
- SNPexp - A web tool for calculating and visualizing correlation between HapMap genotypes and gene expression levelsBMC Bioinformatics, 2010
- Transcriptome genetics using second generation sequencing in a Caucasian populationNature, 2010
- Using the Generic Genome Browser (GBrowse)Current Protocols in Bioinformatics, 2009
- SCAN: SNP and copy number annotationBioinformatics, 2009
- Common Regulatory Variation Impacts Gene Expression in a Cell Type–Dependent MannerScience, 2009
- Population genomics in a disease targeted primary cell modelGenome Research, 2009
- Genetic Analysis of Human Traits In Vitro: Drug Response and Gene Expression in Lymphoblastoid Cell LinesPLoS Genetics, 2008
- Structural variation in the human genomeNature Reviews Genetics, 2006
- QTL analysis of proteome and transcriptome variations for dissecting the genetic architecture of complex traits in maize.Published by Springer Science and Business Media LLC ,2002
- Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple TestingJournal of the Royal Statistical Society: Series B (Methodological), 1995