DSpace logo

Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/15055
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSharma, Rita-
dc.date.accessioned2024-08-02T08:51:58Z-
dc.date.available2024-08-02T08:51:58Z-
dc.date.issued2016-08-
dc.identifier.urihttps://thericejournal.springeropen.com/articles/10.1186/s12284-016-0106-5-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/15055-
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 Database (RKD)en_US
dc.subjectGenesen_US
dc.subjectProtein kinases catalyzeen_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

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.