Stores and characterizes cancer-related alterations of single amino acid in the human proteome as well as variations detected in normal samples. CanProVar 2.0 allows users to retrieve protein-level annotations about a variation, such as the corresponding cancer samples, publications, and potential functional impact as suggested by analyses based on evolution conservation, protein expression, protein domains, and protein 3D interaction. It aims to provide a bridge between genomic data and proteomic studies, allowing users to explore molecular functional characteristics of crVARs and proteins bearing these variations, i.e., cancer-related proteins.
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.