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Algorithms in Bioinformatics: 11th International Workshop, by Broňa Brejová, Michal Burger, Tomáš Vinař (auth.), Teresa M.

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

This publication 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 awarded have been conscientiously reviewed and chosen from seventy seven submissions. They disguise features of algorithms in bioinformatics, computational biology and platforms biology.

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

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Soc. B 363(1491), 557– 572 (2008) 4. : The use of molecular genetics in the improvement of agricultural populations. Nature Reviews Genetics 3, 22–32 (2002) 5. : The combination of linkage values and the calculation of distances between the loci of linked factors. Journal of Genetics 8, 299–309 (1919) 38 S. Canzar and M. El-Kebir 6. : Optimization of the marker-based procedures for pyramiding genes from multiple donor lines: I. Schedule of crossing between the donor lines. Crop Science 47, 537–546 (2007) 7.

The following section focuses on constructing a collection of sub-paths (possibly scaffolds) that approximate a solution. 2 Non-branching Paths in the Ideal Case Scaffolds can be directly constructed from the graph by following special types of mixed paths. To illustrate this, we first assume unrealistic sequencing conditions: error-free reads, perfect coverage and exact insert size (these will be relaxed in the next section). A mixed path in P Gk (R1 × R2 ) is a non-branching path (NBP) if each node, except the first and the last, has in-degree of 1 in the graph with respect to the corresponding in-edge type in the path, and out-degree of 1 corresponding to the out-edge type.

Later papers by Ishii and Yonezawa [6] assume that target genes are always unlinked, which imposes a lower bound on the genetic distance of pairs of target genes. Similar to our work, in [6] the number of generations, number of crossings and the total population size are identified as important attributes. An experimental evaluation is performed on manually obtained crossing schedules having different topologies for a fixed number of parents. Our contribution. In this work we lift the restrictions imposed by Servin et al.

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