CanProVar statistics

Tool stats & trends

Looking to identify usage trends or leading experts?


CanProVar specifications


Unique identifier OMICS_03984
Name CanProVar
Restrictions to use None
Maintained Yes


  • Primates
    • Homo sapiens


  • person_outline Jing Li

Publications for CanProVar

CanProVar citations


Quantitative Analysis of Single Amino Acid Variant Peptides Associated with Pancreatic Cancer in Serum by an Isobaric Labeling Quantitative Method

J Proteome Res
PMCID: 4261938
PMID: 25393578
DOI: 10.1021/pr500934u
call_split See protocol

[…] acid variant sequences were constituted by combining Data set “humsavar.txt” containing human polymorphisms and disease mutations (downloaded from on 11/25/2011) and MS-CanProVar database (downloaded from on 12/14/2011). The m/z tolerance of precursor ion and fragment ion were set as ±10 ppm and ±0.05 Da, respectively. Enzyme w […]


Identification of Potential Plk1 Targets in a Cell Cycle Specific Proteome through Structural Dynamics of Kinase and Polo Box Mediated Interactions

PLoS One
PMCID: 3744538
PMID: 23967120
DOI: 10.1371/journal.pone.0070843

[…] e constructed for G1, S, G2/M, cytokinesis and checkpoints with cancer association to investigate the additional functions of Plk1 (). Subsequently, Human protein Atlas (, CanProVar (, CanSar ( and COSMIC ( resources were used to substantiate and cross check the […]


A Network Based Gene Expression Signature Informs Prognosis and Treatment for Colorectal Cancer Patients

PLoS One
PMCID: 3402487
PMID: 22844451
DOI: 10.1371/journal.pone.0041292

[…] gene expression alteration, somatic mutations in mechanistically important genes may also lead to the same phenotype. Therefore, we further collected 549 genes with somatic mutations in CRC from the CanProVar database to enhance the network analysis using the NetWalker algorithm . Both signature gene lists and the mutated gene list included mechanistically important genes (e.g. driver mutations […]


Looking to check out a full list of citations?

CanProVar institution(s)
Department of Bioinformatics and Biostatistics, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, China; Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA; Lester and Sue Smith Breast Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA; Shanghai Center for Bioinformation Technology, Shanghai Academy of Science and Technology, Shanghai, China; Key Lab of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
CanProVar funding source(s)
This work was supported by the National Natural Science Foundation of China (31271416), the National Key Basic Research Program (2011CB910204, 2012CB910102) and the National Cancer Institute (NCI) CPTAC award U24CA210954.

CanProVar reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review CanProVar