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In this video tutorial, the focus is on finding differentially expressed features and identifying clusters in single cell RNA sequencing data. The Serrat package functions are used to identify cluster markers, with a demonstration of how to use them in different scenarios. Once clusters are identified in the data, questions can be asked about comparing gene expression between clusters. The "find markers" function is useful for identifying genes that are differentially expressed in one cluster compared to another.