Nature Communications (Feb 2020)

Determining sequencing depth in a single-cell RNA-seq experiment

  • Martin Jinye Zhang,
  • Vasilis Ntranos,
  • David Tse

DOI
https://doi.org/10.1038/s41467-020-14482-y
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 11

Abstract

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For single-cell RNA-seq experiments the sequencing budget is limited, and how it should be optimally allocated to maximize information is not clear. Here the authors develop a mathematical framework to show that, for estimating many gene properties, the optimal allocation is to sequence at the depth of one read per cell per gene.