Please use this identifier to cite or link to this item: http://223.31.159.10:8080/jspui/handle/123456789/493
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dc.contributor.authorChakraborty, Niranjan-
dc.date.accessioned2016-01-01T11:18:45Z-
dc.date.available2016-01-01T11:18:45Z-
dc.date.issued2015-
dc.identifier.citationJ. Rice Res., 3(2): 1000e113en_US
dc.identifier.issn2375-4338-
dc.identifier.urihttp://172.16.0.77:8080/jspui/handle/123456789/493-
dc.descriptionAccepted date: Jan 26, 2015en_US
dc.description.abstractRice is the most widely consumed staple food for both developed as well as developing world, more so for Asia. According to the data of FAOSTAT (2012), rice has the third-highest worldwide production after sugarcane and maize, among all agricultural crops. Developing countries account for 95% of the total rice production, with China and India contributing for nearly half of the world output. The main focus of rice research has been on crop improvement to increase productivity and adaptation to adverse climatic conditions. While rice genome sequence has been available for years now, high quality and uniform annotation is a necessity for genome sequence data to be fully utilized by researchers. Towards this, the completion of Rice Annotation Project (RAP) database (http:// rapdb.dna.affrc.go.jp/), based on the new chromosome pseudomolecule Os-Nipponbare-Reference-IRGSP-1.0 (a joint version of IRGSP and MSU pseudomolecules) is important. The existence of a common gene set and uniform annotation allows rice research community to work from a common resource so that their results can be more easily interpreted by other laboratories.en_US
dc.language.isoen_USen_US
dc.publisherOMICS Internationalen_US
dc.subjectRice Proteomicsen_US
dc.titleRice proteomics and beyonden_US
dc.typeArticleen_US
dc.identifier.officialurlhttp://www.omicsonline.com/open-access/2150-3508/2150-3508-abstract.php?abstract_id=38968en_US
dc.identifier.doi10.4172/2375-4338.1000e113en_US
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