Bioinformatics is computer science applied to biological questions. Since all genomics-type sciences such as next-gen sequencing, transcriptomics and proteomics generate large amount of data, computational and statistical approaches are required to evaluate and analyze the generated data to guarantee high data quality. Additionally, since more and more proteomics and genomics data are generated and deposited into the public domain data mining and integration strategies, based on bioinformatics, are becoming more common. In the context of cancer research integration of multiple datasets can be used to validate individual results and prioritize biological pathways or targets for validation. Bioinformatics is therefore highly integrated with proteomics for the interpretation of results. Ultimately these types of “systems” strategies will shed new light on cancer biology and ultimately provide better understanding human cancer biology. This in turn will lead to more rationally designed drugs, more individualized treatments and better biomarkers.
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