Note: Set these values to 600 when using a laptop. 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, 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.
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. 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.