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

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...

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Autores principales: Smita, Shuchi, Lenka, Sangram Keshari, Katiyar, Amit, Jaiswal, Pankaj, Preece, Justin, Bansal, Kailash Chander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3184618/
https://www.ncbi.nlm.nih.gov/pubmed/21965557
http://dx.doi.org/10.1093/database/bar037
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author Smita, Shuchi
Lenka, Sangram Keshari
Katiyar, Amit
Jaiswal, Pankaj
Preece, Justin
Bansal, Kailash Chander
author_facet Smita, Shuchi
Lenka, Sangram Keshari
Katiyar, Amit
Jaiswal, Pankaj
Preece, Justin
Bansal, Kailash Chander
author_sort Smita, Shuchi
collection PubMed
description 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/.
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spelling pubmed-31846182011-10-03 QlicRice: a web interface for abiotic stress responsive QTL and loci interaction channels in rice Smita, Shuchi Lenka, Sangram Keshari Katiyar, Amit Jaiswal, Pankaj Preece, Justin Bansal, Kailash Chander Database (Oxford) Database Tool 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/. Oxford University Press 2011-09-30 /pmc/articles/PMC3184618/ /pubmed/21965557 http://dx.doi.org/10.1093/database/bar037 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Tool
Smita, Shuchi
Lenka, Sangram Keshari
Katiyar, Amit
Jaiswal, Pankaj
Preece, Justin
Bansal, Kailash Chander
QlicRice: a web interface for abiotic stress responsive QTL and loci interaction channels in rice
title QlicRice: a web interface for abiotic stress responsive QTL and loci interaction channels in rice
title_full QlicRice: a web interface for abiotic stress responsive QTL and loci interaction channels in rice
title_fullStr QlicRice: a web interface for abiotic stress responsive QTL and loci interaction channels in rice
title_full_unstemmed QlicRice: a web interface for abiotic stress responsive QTL and loci interaction channels in rice
title_short QlicRice: a web interface for abiotic stress responsive QTL and loci interaction channels in rice
title_sort qlicrice: a web interface for abiotic stress responsive qtl and loci interaction channels in rice
topic Database Tool
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3184618/
https://www.ncbi.nlm.nih.gov/pubmed/21965557
http://dx.doi.org/10.1093/database/bar037
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