Fast and accurate single-cell rna-seq analysis by clustering of transcript-compatibility counts

HIGHLIGHTS

• who: David Tse from the Departments of Mathematics and Molecular and Cell Biology, University of have published the paper: Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility counts, in the Journal: (JOURNAL)
• what: The authors propose a novel that compares and clusters cells based on their transcript-compatibility read counts rather than on the transcript or gene quantifications used in standard analysis pipelines. In the reanalysis of two landmark yet disparate single-cell RNA-seq datasets the authors show that the is up to two orders of magnitude faster than . . .
  

   

  

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