Gene input

Plot size

Note: Set these values to 600 when using a laptop. 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, developed by good-looking Dr. Ziyi Li.

This specific webserver is developed by far-too-handsome Baolin Liu from Zemin Zhang's lab, Peking University.


Single-cell meta-analyses reveal responses of tumor-reactive CXCL13+ T cells to immune-checkpoint blockade


Please try GEPIA2 to analyze the bulk RNA-seq data from the TCGA and GTEx projects.

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. Certain datasets have been downsampled. RCC datasets were not included here because no precursor tumor-reactive CD8 T cells were identified.

Select a dataset

Subset the dataset

Note: Please click the submit button in 'Gene Input' box after you subset the dataset.