From bytes to bedside: Data integration and computational biology for translational cancer research

Jomol P. Mathew, Barry S. Taylor, Gary D. Bader, Saiju Pyarajan, Marco Antoniotti, Arul M. Chinnaiyan, Chris Sander, Steven J. Burakoff, Bud Mishra

Research output: Contribution to journalReview article

Abstract

Major advances in genome science and molecular technologies provide new opportunities at the interface between basic biological research and medical practice. The unprecedented completeness, accuracy, and volume of genomic and molecular data necessitate a new kind of computational biology for translational research. Key challenges are standardization of data capture and communication, organization of easily accessible repositories, and algorithms for integrated analysis based on heterogeneous sources of information. Also required are new ways of using complementary clinical and biological data, such as computational methods for predicting disease phenotype from molecular and genetic profiling. New combined experimental and computational methods hold the promise of more accurate diagnosis and prognosis as well as more effective prevention and therapy.

Original languageEnglish (US)
Pages (from-to)153-163
Number of pages11
JournalPLoS computational biology
Volume3
Issue number2
DOIs
StatePublished - Feb 2007

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Modeling and Simulation
  • Ecology
  • Molecular Biology
  • Genetics
  • Cellular and Molecular Neuroscience
  • Computational Theory and Mathematics

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  • Cite this

    Mathew, J. P., Taylor, B. S., Bader, G. D., Pyarajan, S., Antoniotti, M., Chinnaiyan, A. M., Sander, C., Burakoff, S. J., & Mishra, B. (2007). From bytes to bedside: Data integration and computational biology for translational cancer research. PLoS computational biology, 3(2), 153-163. https://doi.org/10.1371/journal.pcbi.0030012