Transcriptional profiling of peripheral blood mononuclear cells identifies inflammatory phenotypes in ataxia telangiectasia

This is an AnnData object in h5ad (hdf5) format containing de-identified bulk RNA-seq gene expression matrices from PBMCs. These data are related to the study entitled "Transcriptional profiling of peripheral blood mononuclear cells identifies inflammatory phenotypes in ataxia telangiectasia". 
This AnnData object contains a table of sample-specific metadata (`obs`), gene-specific metadata (`var`), and multiple gene expression matrices stored as `layers`. These layers include raw counts, DEseq2 normalized counts, vst normalized counts, and rlog normalized counts. Some additional layers include regressed versions of the previously mentioned counts matrices, where sequencing batch (`cohort` in the obs table) has been regressed out using the `combat` tool. The layer `rlog_combat_regressed_batch` is recommended for downstream processing, and has been loaded into the `X` slot of the anndata object for convenience. 
The md5sum of this h5ad file is listed here: 04d7c6c549fb37cf730a5dca7897f86f
Opening and working with AnnData objects in h5ad format requires the use of the `anndata` python library (https://github.com/scverse/anndata).