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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/2159
Title: Updated Rice Kinase Database RKD 2.0: enabling transcriptome and functional analysis of rice kinase genes
Authors: Sharma, Rita
Keywords: Biology
Rice kinase database
Phylogenomics
Functional redundancy
Mutant analysis
Meta-analysis
Issue Date: 2016
Publisher: Springer
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.
URI: https://thericejournal.springeropen.com/articles/10.1186/s12284-016-0106-5
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/2159
Appears in Collections:Department of Biological Sciences

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