With the advent use of computers in every daily life the computational approacheshas collaborative effort between biologists and computer scientists and thus covers a wide variety of traditionalcomputer science domains, including data retrieval, data integration,data cleaning, data modeling, data mining, data warehousing, data managing, ontologies, simulation, parallel computing, agent-based technology, grid computing, and visualization. However, applying each of these domains to biomolecular and biomedicalapplications raises specific and unexpectedly challenging research issues. This review is to provide life scientists and computer scientists with a complete view on biological data management byidentifying specificissues, presenting existing solutions from both academia and industry and providing a framework in which to compare thesesystems.