SEACells: Inference of transcriptional and epigenomic cellular states from single-cell genomics data

<p>Processed data for the manuscript &quot;&quot; available on bioRxiv at &quot;&quot;</p> <p>Data is available for the following samples</p> <ol> <li>CD34+ Multiome data : 2 replicates&nbsp;</li> <li>T-cell depleted bone marrow Multiome data: 2 replicates&nbsp;</li> </ol> <p>&nbsp;</p> <p>The following counts and fragments files are available for each replicate&nbsp;</p> <ol> <li>&lt;sample&gt;_filtered_feature_bc_matrix.h5: Feature counts from CellRanger ARC</li> <li>&lt;sample&gt;_atac_fragments.tsv.gz: ATAC fragments file from Cellranger ARC</li> <li>&lt;sample&gt;_atac_fragments.tsv.gz.tbi: Index files for ATAC fragments file from Cellranger ARC</li> </ol> <p>&nbsp;</p> <p>The following scanpy anndata objects are also available</p> <ol> <li>cd34_multiome_rna.h5ad: Anndata object with normalized data, cell type annotations and clusters for the RNA modality of CD34+ hematopoietic stem and progenitor cells&nbsp;</li> <li>cd34_multiome_atac.h5ad: Anndata object with peak counts, cell type annotations and clusters for the ATAC modality of of CD34+ hematopoietic stem and progenitor cells.</li> <li>cd34_multiome_rna.h5ad: Anndata object with normalized data, cell type annotations and clusters for the RNA modality of T-cell depleted bone marrow dataset.</li> <li>bm_multiome_atac.h5ad: Anndata object with peak counts, cell type annotations and clusters for the ATAC modality of T-cell depleted bone marrow dataset.</li> </ol>