Computational Approaches for Diagnosis and Therapy of GI Malignancies

The major challenging problem in the world is cancer. It is a complex disease. Somatic mutations in the genome cause genetic changes and lead to initiation and promotion of tumor growth. Many researchers are working to identify cancer driver mutations using traditional approaches. In combination with traditional approaches, computational approaches provide a new insight for novel therapeutic options in oncology. In order to address this problem, there is a need to implement computational approaches like genomics, proteomics, and metabolomics to overcome the problem with less time for accurate results. This review discusses one computational method: genome-wide association studies for identifying SNPs in colon, gastrointestinal, esophageal, and pancreatic cancers.