RNA-seq count table

Count table derived from frontal RNA-seq dataset of the RiMod-FTD data resource (https://www.rimod-ftd.org/).

The data was processed in the following way:

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.
This count table corresponds to the length scaled TPM values derived from Salmon.

本计数表源自RiMod-FTD数据资源（https://www.rimod-ftd.org/）的额叶RNA测序数据集。

数据处理流程如下：
原始FastQ文件采用nf-core的RNA-seq分析流程（nf-core/rnaseq v1.3）进行处理，并启用了序列修剪步骤。随后，使用Salmon（v0.14.1）对经修剪的FastQ文件进行基因定量分析。序列比对与读段映射均基于人类基因组hg38完成。平均每个样本可获得82,165,192条唯一比对读段，对应平均88.6%的唯一比对读段占比。总计可鉴定出59,270个转录本。

本计数表对应由Salmon导出的长度标准化转录本每百万（Transcripts Per Million，TPM）值。