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Constraint Programming in Computational Molecular Biology

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Progress in Artificial Intelligence (EPIA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2902))

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Abstract

Understanding living systems through computation is a challenging new area at the interface of computer science and biology. The goal of this talk is to present some recent work on applying constraint programming to problems in computational molecular biology.

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© 2003 Springer-Verlag Berlin Heidelberg

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Bockmayr, A. (2003). Constraint Programming in Computational Molecular Biology. In: Pires, F.M., Abreu, S. (eds) Progress in Artificial Intelligence. EPIA 2003. Lecture Notes in Computer Science(), vol 2902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24580-3_1

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  • DOI: https://doi.org/10.1007/978-3-540-24580-3_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20589-0

  • Online ISBN: 978-3-540-24580-3

  • eBook Packages: Springer Book Archive

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