CVCDAP stands for Cancer Virtual Cohort Discovery Analysis Platform. It can help perform cohort-level rapid and effective re-discovery of integrated mulit-omics data for your research questions. This website is free and open to all users.


Xiaoqing Guan downloaded and processed the datasets, implemented the analysis scripts, developed applications, and wrote the documents.

The web server was developed by Meng Cai and Yang Du.

The project was designed and supervised by Dr. Jianmin Wu


The genomic datasets were from

The proteomic datasets were from CPTAC.

The following R packages and softwares are used in CVCDAP analysis.

Alboukadel Kassambara and Marcin Kosinski (2019). survminer: Drawing Survival Curves using 'ggplot2'.
R package version 0.4.4.
Kevin Blighe (2019). EnhancedVolcano: Publication-ready volcano plots with enhanced colouring and labeling.
R package version 1.0.1.
Raivo Kolde (2019). pheatmap: Pretty Heatmaps.
R package version 1.0.12.
Mayakonda, A., et al., Maftools: efficient and comprehensive analysis of somatic variants in cancer. Genome Res, 2018. 28(11): p. 1747-1756.
R package version 1.8.0.
H. Wickham (2016). ggplot2: Elegant Graphics for Data Analysis.
R package version 3.1.1.
Rachel Rosenthal (2016). Rosenthal, R., et al., deconstructSigs: delineating mutational processes in single tumors distinguishes DNA repair deficiencies and patterns of carcinoma evolution. Genome Biology, 2016. 17(1): p. 31.
R package version 1.8.0.
Jesse H. Krijthe (2015). Rtsne: T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation.
R package version 0.15.
Ritchie, M.E., et al., limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res, 2015. 43(7): p. e47.
R package version 3.38.3.
Therneau T (2015). A Package for Survival Analysis in S.
R package version 2.43.3.
Vincent Q. Vu (2011). ggbiplot: A ggplot2 based biplot.
R package version 0.55.
Subramanian, A., et al., Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A, 2005. 102(43): p. 15545-50.
Software version 3.0.