Single-cell CRISPR screens provide unprecedented insight into gene
regulation and other facets of human genome biology. However, the
analysis of these screens poses significant statistical and
computational challenges. sceptre (pronounced “scepter”) is a
methodology and associated R package for rigorously identifying
regulatory relationships in high multiplicity-of-infection single-cell
CRISPR screens. For a given gRNA and gene, sceptre produces a
well-calibrated p-value for the null hypothesis that the gRNA has no
impact on the expression of the gene. sceptre is robust and reliable:
it seamlessly accounts for technical factors (e.g., sequencing batch and
sequencing depth) and works well even when the expression model is
misspecified.
Tutorials available on the package
website demonstrate how to
apply sceptre to
small
and
large
datasets.
You can install the development version of the package from Github with the following command:
install.packages("devtools")
devtools::install_github("timothy-barry/sceptre")
Browse the source code on Github here.