RNA-seq count table

Count table derived from frontal RNA-seq dataset of the RiMod-FTD data resource (https://www.rimod-ftd.org/). <br> The data was processed in the following way: <br> Raw FastQ files were processed using the RNA-seq pipeline from nf-core (nf-core/rnaseq v1.3), with trimming enabled. Gene quantification was subsequently done using Salmon (v0.14.1) on the trimmed FastQ files. Alignment and mapping were performed against the human genome hg38. On average, 82,165,192 reads could be uniquely mapped, which relates to on average 88.6% uniquely mapped reads per sample. In total, 59,270 transcripts could be identified. DESeq2 (v.1.26.0) was used to perform differential expression analysis. We corrected for the covariates gender and PH-value. For visualization and clustering, the data was transformed using the variance stabilization transformation from the DESeq2 package. <br> <br>