An R package for single-cell CRISPR screen data analysis, emphasizing statistical rigor, computational efficiency, and ease of use.
We are excited to announce the release of sceptre
v0.9.2, a
substantial update to the package. This milestone includes the following
developments:
- A reimagined user experience based on a modular, object-oriented workflow.
- Further improvements in speed and memory efficiency.
- A unified interface for low- and high-MOI analyses.
- A suite of plotting functions facilitating visualization of each step in the pipeline.
- Expanded support for gRNA assignment and quality control.
- Interoperability with output from 10X Cell Ranger and Parse Biosciences CRISPR Detect.
- An e-book guiding
users through the entire process of analyzing their data using
sceptre
.
sceptre
v0.9.2 facilitates an entire analysis pipeline for single-cell
CRISPR screens, starting from UMI count data obtained from tools like
10X Cell Ranger.
- Morris et al., 2023. “Discovery of target genes and pathways…”. Science.
- Barry et al., 2021. “SCEPTRE improves calibration and sensitivity…”. Genome Biology.
For bug reports, please open a GitHub
issue. For feature
requests, please start a discussion under feature
requests.
For questions about sceptre
functionality, documentation, or how to
apply it to your data, please start a discussion under
Q&A.