figshare
Browse
1/1
8 files

MW3-Dataset

Version 3 2023-08-14, 08:03
Version 2 2023-08-09, 11:49
Version 1 2023-02-24, 15:43
dataset
posted on 2023-08-14, 08:03 authored by Shuang ZhangShuang Zhang

 

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).

History

Usage metrics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC