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Titlebook: Comparative Genomics; International Worksh Craig E. Nelson,Stéphane Vialette Conference proceedings 2008 Springer-Verlag Berlin Heidelberg

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Sorting Cancer Karyotypes by Elementary Operations,orming a normal karyotype into a given (abnormal) cancerous karyotype. Under certain assumptions, we prove a lower bound for the elementary distance, and present a polynomial-time 3-approximation algorithm. We applied our algorithm to karyotypes from the Mitelman database, which records cancer karyo
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Sozioanalyse in der pädagogischen Arbeitalso had evidence for transcription. Though our results suggest that pseudogene-based methods for finding gene losses will miss a large proportion of these events, we discuss the dependence of these conclusions on the divergence times among the species considered.
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https://doi.org/10.1007/978-3-662-67136-8ise to many more duplicated sequences over time. While the chance that retrotransposed copies become functional is much lower than that of their segmentally duplicated counterparts, the higher rate of retrotransposition events leads to nearly equal contributions of new genes by each mechanism.
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https://doi.org/10.1007/978-3-662-67136-8he fact that often co-evolution is local..In this work, we describe a new set of biological problems that are related to finding patterns of local co-evolution. We discuss their computational complexity and design algorithms for solving them. These algorithms outperform other bi-clustering methods a
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Programmbeschreibung und Anwendung,rap values of the gene tree branches. Second, we present an integrative method to speed up the approaches for augmenting species trees into phylogenetic networks..We conducted data analysis and performance study of our methods on a data set of 20 genes from the . mitochondrial genome, in which Jeffr
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https://doi.org/10.1007/978-3-476-05861-4nts to the edges of the phylogenetic tree, such that the pairwise scenarios are reflected on the paths of the tree. It is shown that . can automatically infer the events and the ancestral gene orders for realistic biological examples of mitochondrial gene orders. In an analysis of gene order data fo
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,Fünfte Vorlesung: Organisation,le markers by using two successive heuristics for minimizing two distances on the species tree: the breakpoint distance, and the Kemeny distance. We apply our algorithms to the plant species represented in the Gramene database, and we evaluate the simplified maps we obtained.
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Algorithms for Exploring the Space of Gene Tree/Species Tree Reconciliations,ting a random reconciliation, and combinatorial operators and algorithms to explore the space of all possible reconciliations between a gene tree and a species tree in optimal time. We apply these algorithms to simulated data.
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