RNA-Seq Blog Transcriptome Research & Industry News
Current approaches to single-cell transcriptomic analysis are computationally intensive and require assay-specific modeling which limit their scope and generality. Researchers from UC Berkely and Stanford University have developed a novel method that departs from standard analysis pipelines, comparing and clustering ...
Read More »Fast and accurate single-cell RNA-Seq analysis by clustering of transcript-compatibility counts
