Read e-book online Algorithms in Bioinformatics: 11th International Workshop, PDF

By Broňa Brejová, Michal Burger, Tomáš Vinař (auth.), Teresa M. Przytycka, Marie-France Sagot (eds.)

ISBN-10: 3642230385

ISBN-13: 9783642230387

This ebook constitutes the refereed complaints of the eleventh overseas Workshop on Algorithms in Bioinformatics, WABI 2011, held in Saarbrücken, Germany, in September 2011.
The 30 papers offered have been rigorously reviewed and chosen from seventy seven submissions. They hide features of algorithms in bioinformatics, computational biology and structures biology.

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Read or Download Algorithms in Bioinformatics: 11th International Workshop, WABI 2011, Saarbrücken, Germany, September 5-7, 2011. Proceedings PDF

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Additional resources for Algorithms in Bioinformatics: 11th International Workshop, WABI 2011, Saarbrücken, Germany, September 5-7, 2011. Proceedings

Example text

M}, and the subsets S = {S1 , . . , Sn } correspond to P = {C 1 , . . , C n }. We define p ∈ Si if either ci1,p = 1 or ci2,p = 1 where 1 ≤ i ≤ n and 1 ≤ p ≤ m. The following lemma now follows. Lemma 2. The cardinality of a minimum set cover is a lower bound on the number of crossings of any feasible crossing schedule Computing the minimum set cover is NP-hard. However, since in our experiments the number of loci and parents are relatively small, we are able to obtain the lower bound by solving a corresponding ILP [13] in a fraction of a second.

Iv) The genotype of a source node si is C i , the genotype of t is C ∗ . (v) The probability of obtaining the genotype of an inner node v is at least 1 1−(1−γ) Nmax such that its corresponding population size is at most Nmax . In the following we show how these conditions can be formulated as linear constraints. Throughout our formulation, we let L := F + n be the total number of nodes. Dummies 1 ≤ i, j ≤ L correspond to genotypes, loci are indexed by 1 ≤ p, q ≤ m and chromosomes are referred to by 1 ≤ k, l ≤ 2L.

125–134 (1998) 13. : On the complexity of distance-based evolutionary tree reconstruction. In: Proceedings of SODA 2003, pp. 444–453 (2003) Towards a Practical O(n log n) Phylogeny Algorithm 25 14. : FastTree: Computing large minimum evolution trees with profiles instead of a distance matrix. Mol. Biol. Evol. 26(7), 1641– 1650 (2009) 15. : Quartet-based phylogenetic inference: Improvements and limits. Mol. Biol. Evol. 18(6), 1103–1116 (2001) 16. : Short quartet puzzling: A new quartet-based phylogeny reconstruction algorithm.

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Algorithms in Bioinformatics: 11th International Workshop, WABI 2011, Saarbrücken, Germany, September 5-7, 2011. Proceedings by Broňa Brejová, Michal Burger, Tomáš Vinař (auth.), Teresa M. Przytycka, Marie-France Sagot (eds.)


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