Abstract
A 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.
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Alqurashi, M., Meier, S. (2013). Inferring Biological Functions of Guanylyl Cyclases with Computational Methods. In: Gehring, C. (eds) Cyclic Nucleotide Signaling in Plants. Methods in Molecular Biology, vol 1016. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-441-8_15
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DOI: https://doi.org/10.1007/978-1-62703-441-8_15
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