Somatic mutations alter the differentiation outcomes of iPSC-derived neurons (Metadata and AnnData/H5AD files)

<p><strong>Data S1:</strong>&nbsp;Metadata information for the 828,937&nbsp;processed cells from the DN dataset: donor identity, cell type annotation, pool identifier, 10x sample, time point and replicate information. Related to STAR Methods: Reanalysis of pooled single-cell data (DA).</p> <p><strong>Data S2-S4:</strong>&nbsp;AnnData/H5AD files containing the single-cell gene expression matrices and the metadata for day 11, day 30 and day 52, respectively. The gene expression is normalised and log-transformed, but not scaled. md5 files are also included. Related to STAR Methods:&nbsp; DE analysis between failed and successful lines.</p> <p>#File names:</p> <p><strong>File-Data S1: &nbsp; &nbsp;&nbsp;</strong>suppData1.RDS</p> <p><strong>File-Data S2: &nbsp;&nbsp; &nbsp;</strong>allpools.scanpy.D11.wMetaClustUmapGraph.exprLogNormNotScaled_notKO.h5ad</p> <p><strong>File-Data S3:&nbsp;&nbsp;&nbsp; &nbsp;</strong>allpools.scanpy.D30.wMetaClustUmapGraph.exprLogNormNotScaled_notKO.h5ad</p> <p><strong>File-Data S4:&nbsp;&nbsp;&nbsp; &nbsp;</strong>allpools.scanpy.D52.wMetaClustUmapGraph.exprLogNormNotScaled_notKO.h5ad</p>