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Updated Rice Kinase Database RKD 2.0: enabling transcriptome and functional analysis of rice kinase genes

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dc.contributor.author Sharma, Rita
dc.date.accessioned 2021-09-27T07:49:21Z
dc.date.available 2021-09-27T07:49:21Z
dc.date.issued 2016
dc.identifier.uri https://thericejournal.springeropen.com/articles/10.1186/s12284-016-0106-5
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/2159
dc.description.abstract Protein 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.iso en en_US
dc.publisher Springer en_US
dc.subject Biology en_US
dc.subject Rice kinase database en_US
dc.subject Phylogenomics en_US
dc.subject Functional redundancy en_US
dc.subject Mutant analysis en_US
dc.subject Meta-analysis en_US
dc.title Updated Rice Kinase Database RKD 2.0: enabling transcriptome and functional analysis of rice kinase genes en_US
dc.type Article en_US


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