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Titlebook: Comparative Genomics; International Worksh Eric Tannier Conference proceedings 2010 Springer Berlin Heidelberg 2010 DCJ.DNA sequences.ances

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Zur Tiefenstruktur menschlicher Interaktion,te computational model that considers duplications, transfers and losses of genes. The model yields a fast and exact algorithm to infer time consistent and most parsimonious reconciliations. Then we study the conditions under which parsimony is able to accurately infer such events. Overall, it perfo
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Definitionsmacht sozio-kultureller Codes,no more than a few genes are horizontally transferred between any two species. However, several studies identified pairs of species between which many different genes were horizontally transferred. Such a pair is said to be linked by a .. We present a method for inferring such highways. Our method i
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https://doi.org/10.1007/978-3-531-91312-4combinatorial structures. By explicitly exploring these combinatorial structures, the recently developed adequate subgraph theory shows that a family of these structures, adequate subgraphs, are informative in finding the optimal solutions to the rearrangement median problem. Its extension gives ris
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https://doi.org/10.1007/978-3-531-91312-4merous, less conserved, DNA fragments. Segmentation of bacterial genomes into backbone and variable regions is particularly useful to investigate bacterial genome evolution. Several software tools have been designed to compare complete bacterial chromosomes and a few online databases store pre-compu
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Zum Geltungsbereich sozio-kultureller Codes,h one another. NTRs have been found in real DNA sequences and are expected to have applications for evolutionary studies, both as a tool to understand concerted evolution, and as a potential marker in population studies..In this paper we describe software tools developed for database searches for NT
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Makrosoziale und mikrosoziale Codes, located as far as 1 Mb from the transcription start site of the target gene and can regulate more than one gene. Therefore, proper characterization of functional interactions between long-range .-regulatory regions and their target genes remains problematic. We present a novel method to predict suc
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