Cancer (medical term: malignant neoplasm) is a class of disease in which a group of cells display uncontrolled growth through division beyond normal limits, invasion that intrudes upon and destroys adjacent tissues, and sometimes metastasis, in which cancer cells spread to other locations in the body via lymph or blood. These three malignant properties of cancers differentiate them from benign tumors, which are self-limited, and do not invade or metastasize. Cell reproduction is an extremely complex process, which is normally tightly regulated by several classes of genes including oncogenes and tumor suppressor genes. Hereditary or acquired abnormalities in these regulatory genes can lead to uncontrolled cell growth, and the development of cancer. There are different of Cancer like bladder cancer, breast cancer, colon cancer, endometrial cancer, kidney cancer (renal cell), leukemia, lung cancer, melanoma, non-Hodgkin lymphoma, pancreatic cancer, prostate cancer, thyroid cancer. To find different types of genes for different types of cancer with other related genetic information is of great importance for clinicians and cancer immunologists to detect. In the present work, a database containing various information about the different type of cancer causing gene, NCBI ID, PDB IB, SWISS PROT ID, KEGG pathway and other information has been developed with Codon bias Concept. The main emphasis in this database is introduction of Codon Usage Bias which refers to differences in the frequency of occurrence of synonymous codons in coding DNA. The advantages of this database are that it is freely available and can be used even by a layman. It is easily up gradable and quite cost effective. The most important advantage is that it would be helpful in carrying out further research in developing countries like India where cancer has a high occurrence even in poorer sections of the society.