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Publication Detail
Genetic Improvement of computational biology software
  • Publication Type:
  • Authors:
    Langdon WB, Zile K
  • Publication date:
  • Pagination:
    1657, 1660
  • Published proceedings:
    GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • ISBN-13:
  • Status:
© 2017 ACM. There is a cultural divide between computer scientists and biologists that needs to be addressed. The two disciplines used to be quite unrelated but many new research areas have arisen from their synergy. We selectively review two multi-disciplinary problems: dealing with contamination in sequencing data repositories and improving software using biology inspired evolutionary computing. Through several examples, we show that ideas from biology may result in optimised code and provide surprising improvements that overcome challenges in speed and quality trade-os. On the other hand, development of computational methods is essential for maintaining contamination free databases. Computer scientists and biologists must always be sceptical of each others data, just as they would be of their own.
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