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Cancer predisposition genes (CPGs)


Cancer predisposition genes (CPGs) generally refer to a class of genes in which germline mutations confer high or moderate risks of cancers (Nature 505(7483):302-308, 2014). Identification of these genes and understanding their functions are critical for further investigation of tumorigenesis. However, there is no database focusing on cancer predisposition genes yet available. Therefore, we developed a comprehensive literature-based cancer predisposition gene database (dbCPG). The purpose of the database is to allow cancer researchers to quickly determine whether or not a gene, or list of genes, has been identified as a cancer predisposition gene with literature evidence. A brief tutorial is available here. 









Database of Deleterious Synonymous Mutation

Synonymous mutation is a form of single nucleotide mutation which replaces one base to another in an exon without amino acid change. Because of synonymous substitution do not change the protein primary structure, it has been considered to be silent (no function) mutation for a long time. But according to recent studies, these kind of mutation do make some important bio-functions, and closely related to some diseases.
dbDSM (Database of Deleterious Synonymous Mutation) is an integrated database that collect multiple sources relate to deleterious synonymous mutations. Our dbDSM provides detail information about DSM with phenotypes, including position information, amino acid residue and literatures’ title etc. We intend to collect accurate information used for bio-research and make it accessible to all users freely. 




Melanoma Gene Database

Melanoma is one of the most aggressive human cancers. Similar to many other cancers, melanoma is initiated by activation of oncogenes or inactivation of tumor suppressor genes. However, there is no database focusing on genes involved in melanoma causation yet available. Therefore, we have collected melanoma related genes to construct an integrated database termed Melanoma Gene DataBase (MGDB) that would help in understanding the relationship between genes and melanoma.

Each entry contains information regarding the general information, expression, methylation, mutation, interaction, pathways and drug information. These information were extracted from other resource like NCBI, TCGA, COSMIC, PINA, KEGG and DGIdb enriching MGDB-specific information with external data. We also provide online BLAST tool which makes it possible to query against the melanoma gene nucleotide or protein sequences in our MGDB.




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