Test Data for Galaxy tutorial "Batch Correction and Integration" - Seurat version

This data is used for the Seurat version of the batch correction and integration tutorial on the Galaxy Training Network. The input data was provided by Seurat in the 'Integrative Analysis in Seurat v5' tutorial. The input dataset provided here has been filtered to include only cells for which nFeature_RNA > 1000. The other datasets were produced on Galaxy. The original dataset was published as: Ding, J., Adiconis, X., Simmons, S.K. et al. Systematic comparison of single-cell and single-nucleus RNA-sequencing methods. Nat Biotechnol 38, 737–746 (2020). https://doi.org/10.1038/s41587-020-0465-8.本数据集用于Galaxy训练网络（Galaxy Training Network）推出的Seurat批次校正与整合教程。本数据集的输入数据由Seurat在《Integrative Analysis in Seurat v5》教程中提供，此处提供的输入数据集已完成过滤，仅保留nFeature_RNA > 1000的细胞。其余数据集均在Galaxy平台上生成。原始数据集的发表文献信息如下：Ding J, Adiconis X, Simmons SK 等. 单细胞与单细胞核RNA测序方法的系统性比较[J]. 自然-生物技术（Nat Biotechnol）, 2020, 38: 737–746. https://doi.org/10.1038/s41587-020-0465-8