Published on November 2015 | Data Science, Machine Learning
Globally, breast cancer is the most commonly diagnosed tumour that leads to the death in women. The number of genes that leads to the breast cancer is gradually increasing and a pursuit for the better understanding of the genes and their products that serves as the potential drug targets of breast cancer are demanding. In this regard, the development of potential resources that can employ the key genes and their products that plays a crucial role in the cause of breast cancer, may serve as a potential resource for the identification of novel drug targets and also in the development of novel drugs. Thus Breast Cancer Gene Database (BCGDB) holding 2948 over expressed genes that involve in breast cancer and 487 genes that play significant role in breast cancer were provided. The structural and functional aspects of these genes and their products provided in this database can serve as an ecstasy resource for the breast cancer researchers to pursue their investigations for the development of novel therapeutics for the cure of breast cancer. This database can be accessed online (http://www.bcgdb.in).