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dc.contributor.authorSharma, Rita-
dc.date.accessioned2021-09-27T07:49:21Z-
dc.date.available2021-09-27T07:49:21Z-
dc.date.issued2016-
dc.identifier.urihttps://thericejournal.springeropen.com/articles/10.1186/s12284-016-0106-5-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/2159-
dc.description.abstractProtein kinases catalyze the transfer of a phosphate moiety from a phosphate donor to the substrate molecule, thus playing critical roles in cell signaling and metabolism. Although plant genomes contain more than 1000 genes that encode kinases, knowledge is limited about the function of each of these kinases. A major obstacle that hinders progress towards kinase characterization is functional redundancy. To address this challenge, we previously developed the rice kinase database (RKD) that integrated omics-scale data within a phylogenetics context.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectBiologyen_US
dc.subjectRice kinase databaseen_US
dc.subjectPhylogenomicsen_US
dc.subjectFunctional redundancyen_US
dc.subjectMutant analysisen_US
dc.subjectMeta-analysisen_US
dc.titleUpdated Rice Kinase Database RKD 2.0: enabling transcriptome and functional analysis of rice kinase genesen_US
dc.typeArticleen_US
Appears in Collections:Department of Biological Sciences

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