Coexpression networks are data-derived representations of genes behaving in a similar way across tissues and experimental conditions.[111] Their main purpose lies in hypothesis generation and guilt-by-association approaches for inferring functions of previously unknown genes.[111] RNA-Seq data has been used to infer genes involved in specific pathways based on Pearson correlation, both in plants[112] and mammals.[113] The main advantage of RNA-Seq data in this kind of analysis over the microarray platforms is the capability to cover the entire transcriptome, therefore allowing the possibility to unravel more complete representations of the gene regulatory networks.