Gene input

Plot size

Note: At least 960px was recommended when using a screen. Please click the submit button after you change the figure size.

Plot parameters





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(

Contact us

If any question about the use of scDVA or find any bug, please contact us:

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Load data

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.