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DNA physical mapping: Three ways difficult

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Algorithms—ESA '93 (ESA 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 726))

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Abstract

We study the computational complexity of the combinatorial problem Intervalizing Colored Graphs (or ICG) that has some applications in DNA physical mapping. The three distinct conceptual frameworks of N P-completeness, algorithmic techniques for bounded treewidth, and parameterized complexity theory are shown to fit together neatly in an integrated complexity analysis of ICG. It is shown that ICG is intractable in three different ways: (1) it is N P-complete, (2) it is hard for the parameterized complexity class W[1] and (3) it is not finite-state for bounded treewidth or pathwidth, and is therefore resistant to the usual algorithm design methodologies. The proofs of these three results are related in interesting ways which suggest useful heuristic connections between the three complexity frameworks for intractable problems of bounded treewidth and pathwidth.

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Thomas Lengauer

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© 1993 Springer-Verlag Berlin Heidelberg

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Fellows, M.R., Hallett, M.T., Wareham, H.T. (1993). DNA physical mapping: Three ways difficult. In: Lengauer, T. (eds) Algorithms—ESA '93. ESA 1993. Lecture Notes in Computer Science, vol 726. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57273-2_52

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  • DOI: https://doi.org/10.1007/3-540-57273-2_52

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57273-2

  • Online ISBN: 978-3-540-48032-7

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