"Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq" Replogle et al. 2022 processed Perturb-seq datasets

This dataset includes data from three Perturb-seq experiments described in Replogle et al. 2022 (https://doi.org/10.1016/j.cell.2022.05.013): 

1. K562 genome-scale perturb-seq sampled at day 8 post-transduction (K562_gwps)
2. K562 essential-scale perturb-seq sampled at day 6 post-transduction (K562_essential)
3. RPE1 essential-scale perturb-seq sampled at day 7 post-transduction (rpe1)

For each dataset, there are four processed Perturb-seq files in AnnData format (_{https://anndata.readthedocs.io/en/latest/}).

1. Raw, single-cell expression data for genes expressed at >0.01 UMI per cell (named $pop_raw_singlecell_01.h5ad)
2. Raw, pseudo-bulk expression data for genes expressed at >0.01 UMI per cell (named $pop_raw_bulk_01.h5ad)
3. gemgroup Z-normalized single-cell expression data for genes expressed at >0.01 UMI per cell (named $pop_normalized_singlecell_01.h5ad)
4. gemgroup Z-normalized pseudo-bulk expression data for genes expressed at >0.01 UMI per cell (named $pop_normalized_bulk_01.h5ad)

In the anndata format, the .var annotation details genes while the .obs annotation details single-cells/pseudobulk populations.