Encyclopedia of Big Data

Living Edition
| Editors: Laurie A. Schintler, Connie L. McNeely


Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-32001-4_24-1


Bioinformatics constitute a specialty in the informatics domain that applies information technologies (IT) to the study of human biology. Having its basis in the study of genotypes and phenotypes, the bioinformatics domain is extensive, encompassing genomics, metagenomics, proteomics, pharmacogenomics, and metabolomics. With advances in IT-supported data storage and management, very large data sets (Big Data) have become available from diverse sources at greatly accelerated rates, providing unprecedented opportunities to engage in increasingly more sophisticated biological data analytics.

Although the formal study of biology has its origins in the seventeenth century CE, the application of computer science to biological research is relatively recent. In 1953, the Watson and Crick published the DNA structure. In 1975, Sanger and the team of Maxam and Gilbert independently developed DNA sequences. In 1980, the US Supreme Court ruled that patents on genetically modified...

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Further Readings

  1. Butte, A. (2008). Translational bioinformatics: Coming of age. Journal of the American Medical Informatics Association, 15(6), 709–714.CrossRefGoogle Scholar
  2. Cohen, I. G., Amarasingham, R., Shah, A., Xie, B., & Lo, B. (2014). The legal and ethical concerns that arise from using complex predictive analytics in health care. Health Affairs, 33(7), 1139–1147.CrossRefGoogle Scholar
  3. Kumari, D., & Kumari, R. (2014). Impact of biological big data in bioinformatics. International Journal of Computer Applications, 10(11), 22–24.CrossRefGoogle Scholar
  4. Maojo, V., & Kulikowski, C. A. (2003). Bioinformatics and medical informatics: Collaborations on the road to genomic medicine? Journal of the American Medical Informatics Association., 10(6), 515–522.CrossRefGoogle Scholar
  5. Ohno-Machado, L. (2012). Big science, big data, and the big role for biomedical informatics. Journal of the American Medical Informatics Association, 19(e1), e1.CrossRefGoogle Scholar
  6. Shah, N. H., & Tenebaum, J. D. (2012). The coming of age of data-driven medicine: Translational bioinformatics’ next frontier. Journal of the American Medical Informatics Association, 19, e1–e2.CrossRefGoogle Scholar

Authors and Affiliations

  1. 1.George Mason UniversityArlingtonUSA