02132nas a2200325 4500000000100000000000100001008004100002260000900043653003200052653002300084653001800107653001300125653001300138653001700151653001900168653002800187653002600215653002800241100001700269700001800286700001700304700001900321700001800340700001900358245010300377300001100480490000900491520129200500022001401792 2011 d c201110aDatabase Management Systems10aDatabases, Genetic10aGenome, Plant10aGenomics10aInternet10aOryza sativa10aPlant Proteins10aQuantitative Trait Loci10aStress, Physiological10aUser-Computer Interface1 aShuchi Smita1 aSangram Lenka1 aAmit Katiyar1 aPankaj Jaiswal1 aJustin Preece1 aKailash Bansal00aQlicRice: a web interface for abiotic stress responsive QTL and loci interaction channels in rice. abar0370 v20113 aThe 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/. a1758-0463