In:
Nature Communications, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2020-02-07)
Kurzfassung:
An underlying question for virtually all single-cell RNA sequencing experiments is how to allocate the limited sequencing budget: deep sequencing of a few cells or shallow sequencing of many cells? Here we present a mathematical framework which reveals that, for estimating many important gene properties, the optimal allocation is to sequence at a depth of around one read per cell per gene. Interestingly, the corresponding optimal estimator is not the widely-used plug-in estimator, but one developed via empirical Bayes.
Materialart:
Online-Ressource
ISSN:
2041-1723
DOI:
10.1038/s41467-020-14482-y
Sprache:
Englisch
Verlag:
Springer Science and Business Media LLC
Publikationsdatum:
2020
ZDB Id:
2553671-0
