MW3-Dataset
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下载链接:
https://figshare.com/articles/dataset/MW3-Dataset/22154066
下载链接
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资源简介:
Dataset generated by our Microwell-seq 3.0 technique.
Files:
In order to save space, we've packaged our data into tar.gz format. Please unzip the files once you've successfully downloaded.
RNA_WT_RData.tar.gz: Seurat object along with a metadata including cell barcodes, tissue source & cell type annotation, could be loaded into R environment and used directly.
RNA_Tumor_RData.tar.gz: Seurat object along with a metadata including cell barcodes, tissue source, cell type annotation & potential cell state prediction(neoplastic, intermediate & non-neoplastic), could be loaded into R environment and used directly.
RNA_WT_Dge.tar.gz: Digital Expression data (in .csv format) generated by Drop-seq tools, with batch effect removed by customed scripts.
RNA_Tumor_Dge.tar.gz : Digital Expression data(in .csv format) generated by Drop-seq tools, with batch effect removed by customed scripts.
ATAC_WT_SparseMatrix.tar.gz: scATAC-seq data in 10X-like format(matrix.mtx, barcodes.csv, features.csv), along with a metadata including cell barcodes, tissue source & cell type annotation.
ATAC_Tumor_SparseMatrix.tar.gz: scATAC-seq data in 10X-like format(matrix.mtx, barcodes.csv, features.csv), along with a metadata including cell barcodes, tissue source, cell type annotation & potential cell state prediction(neoplastic, intermediate & non-neoplastic).
本数据集由我们的Microwell-seq 3.0技术生成。
数据文件说明:
为节省存储空间,本数据集已打包为tar.gz格式,请在下载完成后对文件进行解压。
RNA_WT_RData.tar.gz:包含Seurat对象与元数据,元数据涵盖细胞条形码、组织来源及细胞类型注释信息,可直接加载至R环境中使用。
RNA_Tumor_RData.tar.gz:包含Seurat对象与元数据,元数据涵盖细胞条形码、组织来源、细胞类型注释以及潜在细胞状态预测结果(肿瘤性、中间态及非肿瘤性),可直接加载至R环境中使用。
RNA_WT_Dge.tar.gz:为通过Drop-seq工具生成的数字化基因表达数据(格式为.csv),已通过自定义脚本去除批次效应。
RNA_Tumor_Dge.tar.gz:为通过Drop-seq工具生成的数字化基因表达数据(格式为.csv),已通过自定义脚本去除批次效应。
ATAC_WT_SparseMatrix.tar.gz:为10X类格式的单细胞转座酶可及性测序(scATAC-seq)数据,包含matrix.mtx、barcodes.csv、features.csv文件,同时附带元数据,涵盖细胞条形码、组织来源及细胞类型注释信息。
ATAC_Tumor_SparseMatrix.tar.gz:为10X类格式的单细胞转座酶可及性测序(scATAC-seq)数据,包含matrix.mtx、barcodes.csv、features.csv文件,同时附带元数据,涵盖细胞条形码、组织来源、细胞类型注释以及潜在细胞状态预测结果(肿瘤性、中间态及非肿瘤性)。
创建时间:
2023-02-24



