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Single-cell RNA sequencing (scRNA-Seq) enables researchers to explore complex functional molecular systems cell-by-cell as well as cellular characterization of the cells. Through scRNA-Seq, researchers can see transcriptomic profiles in individual cells, which allows for the grouping of cell types based on gene expression. In this webinar, doctoral student Joel Parker will explain the importance of benchmarking and how their clusTuneR package, an R package they developed which utilizes benchmarking metrics, helps to evaluate clustering performance for scRNA-Seq experiments. These benchmark metrics are especially helpful when applying standard scRNA-Seq pipelines, as there are many user-defined parameters that can influence your analysis results. ClusTuneR is the app package you need to help you compare observational results to experimental findings to calibrate bias in your methodology. Join us to learn about this valuable tool!