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scPerturb

Definition
AI-generated

scPerturb is a harmonized collection and metadata standard for single-cell perturbation datasets—combining processed expression matrices, perturbation annotations, and study covariates so models and benchmarks can be trained across many screens consistently.

Topics
Single-cell analysis
URL
https://www.sanderlab.org/scPerturb/
Related
In Silico Perturbation Prediction Perturb-seq Single-Cell Perturbation Genomics

Why it matters in GWAS

Resources like scPerturb accelerate in silico perturbation methods and meta-analyses that relate genetic interventions to transcriptional programs, offering a shared ground truth when comparing predicted vs measured effects of GWAS candidate genes.

Example usage

"We fine-tuned a perturbation predictor on scPerturb-compiled CRISPR screens before scoring genes at the autoimmune locus."

In Silico Perturbation Prediction Perturb-seq Single-Cell Perturbation Genomics
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Peidli S, et al. (2024). scPerturb: harmonized single-cell perturbation data. Nat Methods.
  • Dimitrov D, Schrod S, Rohbeck M, et al. (2026). Interpretation, extrapolation and perturbation of single cells. Nat Rev Genet. https://doi.org/10.1038/s41576-025-00920-4
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