DDEC: Dragon database of genes implicated in esophageal cancer |
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| Authors: | Magbubah Essack Aleksandar Radovanovic Ulf Schaefer Sebastian Schmeier Sundararajan V Seshadri Alan Christoffels Mandeep Kaur Vladimir B Bajic |
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| Affiliation: | (1) South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa;(2) Mathematical and Computer Science and Engineering Division, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia |
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| Abstract: | Background Esophageal cancer ranks eighth in order of cancer occurrence. Its lethality primarily stems from inability to detect the disease during the early organ-confined stage and the lack of effective therapies for advanced-stage disease. Moreover, the understanding of molecular processes involved in esophageal cancer is not complete, hampering the development of efficient diagnostics and therapy. Efforts made by the scientific community to improve the survival rate of esophageal cancer have resulted in a wealth of scattered information that is difficult to find and not easily amendable to data-mining. To reduce this gap and to complement available cancer related bioinformatic resources, we have developed a comprehensive database (Dragon Database of Genes Implicated in Esophageal Cancer) with esophageal cancer related information, as an integrated knowledge database aimed at representing a gateway to esophageal cancer related data. |
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