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The fields of bioinformatics aim to investigate questions about biological composition, structure, function, and evolution of molecules, cells, tissues, and organisms using mathematics, informatics, statistics, and computer science. Because these approaches allow large-scale and quantitative analyses of biological phenomena and data obtained from many disciplines, they can ask questions and achieve unique insights not imaginable before the genomic era. Both bioinformatics and biostatistics are frequently integrated into faculty laboratories, often with experimental studies as well, with bioinformatics emphasizing informatics and statistics, while bioinformatics emphasizes the development of theoretical methods, mathematical modeling, and computational simulation techniques to answer these questions. Examples of bioinformatics studies include analysis and integration of -omics data, prediction of protein function from sequence and structural information, and cheminformatics comparisons of protein ligands to identify off-target effects of drugs. Examples in computational biology include simulation of protein motion and folding and how proteins interact with each other. Research areas of bioinformatics are cancer gene expression, methylation, mutation, microRNA expression and mutation by using different related databases. Biostatistics are engaged in research on a wide variety of methodological problems.  Major areas of methodological research include design and analysis of clinical trials, survival analysis, sequential methods, statistical genetics. Areas of application include cancer, community research, computational biology, the environment, genetic epidemiology, neurology, and psychiatry, among other areas.