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dc.contributor.authorAlquraishi, May Majed
dc.contributor.authorMeier, Stuart Kurt
dc.date.accessioned2015-08-03T11:17:12Z
dc.date.available2015-08-03T11:17:12Z
dc.date.issued2013-09-03
dc.identifier.isbn9781627034401
dc.identifier.issn10643745
dc.identifier.pmid23681582
dc.identifier.doi10.1007/978-1-62703-441-8-15
dc.identifier.urihttp://hdl.handle.net/10754/562963
dc.description.abstractA number of studies have shown that functionally related genes are often co-expressed and that computational based co-expression analysis can be used to accurately identify functional relationships between genes and by inference, their encoded proteins. Here we describe how a computational based co-expression analysis can be used to link the function of a specific gene of interest to a defined cellular response. Using a worked example we demonstrate how this methodology is used to link the function of the Arabidopsis Wall-Associated Kinase-Like 10 gene, which encodes a functional guanylyl cyclase, to host responses to pathogens. © Springer Science+Business Media New York 2013.
dc.publisherHumana Press
dc.subjectArabidopsis thaliana
dc.subjectcGMP
dc.subjectCo-expression
dc.subjectComputational analysis
dc.subjectFunctional annotation
dc.subjectFunctional/biological process
dc.subjectGuanylyl cyclase
dc.titleInferring biological functions of guanylyl cyclases with computational methods
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentChemical and Biological Engineering Program
dc.identifier.journalMethods in Molecular Biology
kaust.personMeier, Stuart Kurt
kaust.personAlquraishi, May Majed


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