| Title | QlicRice: a web interface for abiotic stress responsive QTL and loci interaction channels in rice. |
| Publication Type | Journal Article |
| Year of Publication | 2011 |
| Authors | Smita, S, Lenka, SKeshari, Katiyar, A, Jaiswal, P, Preece, J, Bansal, KChander |
| Journal | Database : the journal of biological databases and curation |
| Volume | 2011 |
| Pagination | bar037 |
| Date Published | 2011 |
| ISSN | 1758-0463 |
| Keywords | Database Management Systems, Databases, Genetic, Genome, Genomics, Internet, Oryza sativa, Physiological, plant, Plant Proteins, Quantitative Trait Loci, stress, User-Computer Interface |
| 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/. |
| DOI | 10.1093/database/bar037 |
