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Single-cell transcriptomics is becoming an important component of the molecular biologist's toolkit. A critical step when analyzing data generated using this technology is normalization. However, normalization is typically performed using methods developed for bulk RNA sequencing or even microarray data, and the suitability of these methods for single-cell transcriptomics has not been assessed.
(Vallejos et al., 2017) Normalizing single-cell RNA sequencing data: challenges and opportunities. Nat Methods.