Note: At least 960px was recommended when using a screen. Please click the submit button after you change the figure size.
We developed this interactive web server scDVA (short for single cell RNA-seq data visualization and analyzation) for users to explore and analyze the single cell RNA-seq data.
To use scDVA with your own data, please visit scDVA in GitHub.
This tool is developed by Ziyi Li of Zemin Zhang's lab, Peking University.
Zhang, L.*, Li, Z.*, Skrzypczynska, K.M.*, et al., 2020 Single-Cell Analyses Inform Mechanisms of Myeloid-Targeted Therapies in Colon Cancer
Data for this project are accessible through Figshare(https://figshare.com/articles/dataset/CRC_CD45_rda/14820318).
If any question about the use of scDVA or find any bug, please contact us: email@example.com
Note: please select one or more dataset(s) to load.
Select a dataset
Subset the dataset
Note: Please click the submit button in 'Gene Input' box after you subset the dataset.