Paper Info
Title
PlantQTL-GE: a database system for identifying candidate genes in rice and Arabidopsis by gene expression and QTL information.
Abstract
We have designed and implemented a web-based database system, called PlantQTL-GE, to facilitate quantitatine traits locus (QTL) based candidate gene identification and gene function analysis. We collected a large number of genes, gene expression information in microarray data and expressed sequence tags ( ESTs) and genetic markers from multiple sources of Oryza sativa and Arabidopsis thaliana. The system integrates these diverse data sources and has a uniform web interface for easy access. It supports QTL queries specifying QTL marker intervals or genomic loci, and displays, on rice or Arabidopsis genome, known genes, microarray data, ESTs and candidate genes and similar putative genes in the other plant. Candidate genes in QTL intervals are further annotated based on matching ESTs, microarray gene expression data and cis-elements in regulatory sequences. The system is freely available at http://www.scbit.org/qtl2gene/new/.
Year
DOI
Venue
2007
10.1093/nar/gkl814
NUCLEIC ACIDS RESEARCH
Keywords
Field
DocType
microarray data,gene expression profiling,quantitative trait loci,expressed sequence tag,system integration,gene expression,database system,candidate gene,internet,web interface,genetic marker
Candidate Gene Identification,Quantitative trait locus,Expressed sequence tag,Candidate gene,Biology,Microarray analysis techniques,Candidate Disease Gene,Locus (genetics),Genetics,Molecular biology,Gene expression profiling,Database
Journal
Volume
Issue
ISSN
35
Database issue
0305-1048
Citations 
PageRank 
References 
2
0.41
2
Authors
9
Name
Order
Citations
PageRank
Huazong Zeng120.41
Li-Jun Luo2182.89
Weixiong Zhang31458119.03
Jie Zhou420.41
Zuofeng Li5587.76
Hongyan Liu620.41
Tiansheng Zhu720.41
Xiangqian Feng81285.59
Yang Zhong9868.59