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QlicRice:一个用于水稻非生物胁迫响应 QTL 和基因座互作通道的网络界面。

QlicRice: a web interface for abiotic stress responsive QTL and loci interaction channels in rice.

机构信息

National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110012, India.

出版信息

Database (Oxford). 2011 Sep 30;2011:bar037. doi: 10.1093/database/bar037. Print 2011.

DOI:10.1093/database/bar037
PMID:21965557
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3184618/
Abstract

The QlicRice database is designed to host publicly accessible, abiotic stress responsive quantitative trait loci (QTLs) in rice (Oryza sativa) and their corresponding sequenced gene loci. It provides a platform for the data mining of abiotic stress responsive QTLs, as well as browsing and annotating associated traits, their location on a sequenced genome, mapped expressed sequence tags (ESTs) and tissue and growth stage-specific expressions on the whole genome. Information on QTLs related to abiotic stresses and their corresponding loci from a genomic perspective has not yet been integrated on an accessible, user-friendly platform. QlicRice offers client-responsive architecture to retrieve meaningful biological information--integrated and named 'Qlic Search'--embedded in a query phrase autocomplete feature, coupled with multiple search options that include trait names, genes and QTL IDs. A comprehensive physical and genetic map and vital statistics have been provided in a graphical manner for deciphering the position of QTLs on different chromosomes. A convenient and intuitive user interface have been designed to help users retrieve associations to agronomically important QTLs on abiotic stress response in rice. Database URL: http://nabg.iasri.res.in:8080/qlic-rice/.

摘要

QlicRice 数据库旨在存储公开可访问的、对非生物胁迫有反应的水稻(Oryza sativa)数量性状位点(QTL)及其相应的测序基因座。它为非生物胁迫响应 QTL 的数据挖掘提供了一个平台,同时还可以浏览和注释相关性状、它们在测序基因组上的位置、映射的表达序列标签(EST)以及整个基因组中组织和生长阶段特异性的表达。从基因组学的角度来看,关于非生物胁迫的 QTL 及其相应的基因座的信息尚未整合到一个可访问、用户友好的平台上。QlicRice 提供了客户响应式架构,以检索有意义的生物信息——集成并命名为“Qlic Search”——嵌入在查询短语自动完成功能中,同时还提供了多种搜索选项,包括性状名称、基因和 QTL ID。综合的物理和遗传图谱以及重要的统计数据以图形方式提供,以破译不同染色体上 QTL 的位置。为了帮助用户检索与水稻非生物胁迫响应中农艺重要 QTL 的关联,我们设计了一个方便直观的用户界面。数据库网址:http://nabg.iasri.res.in:8080/qlic-rice/。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44c1/3184618/13fd51e13469/bar037f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44c1/3184618/f2f5d1737b99/bar037f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44c1/3184618/5c8a92f68252/bar037f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44c1/3184618/4a9869322e50/bar037f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44c1/3184618/13fd51e13469/bar037f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44c1/3184618/f2f5d1737b99/bar037f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44c1/3184618/5c8a92f68252/bar037f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44c1/3184618/4a9869322e50/bar037f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44c1/3184618/13fd51e13469/bar037f4.jpg

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