Titlebook: Algorithms in Bioinformatics; 6th International Wo Philipp Bücher,Bernard M. E. Moret Conference proceedings 2006 Springer-Verlag Berlin He

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https://doi.org/10.1007/978-3-86226-332-5hm uses a large training set of known interacting kinase/receiver pairs to build a probabilistic model of dependency between the amino acid sequences of the two proteins and uses this model to predict which pairs interact. We show that the algorithm can accurately reconstruct cognate kinase/receiver

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https://doi.org/10.1007/978-3-662-37042-1ed on the model of perfect phylogeny, the genotype phasing problem can be solved in linear time. However, recombinations may occur and the perfect phylogeny model thus cannot interpret genotype data with recombinations. This paper develops a graph theoretical approach that can reduce the problem to

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https://doi.org/10.1007/978-3-642-52595-7f transcripts, the alternative splicing graph (ASG) can be constructed—a mathematical object minimally explaining these transcripts. Most research has so far been devoted to the reconstruction of ASGs from a sample of transcripts, but little has been done on the confidence we can have in these ASGs

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,Das Vorgehen gegen „feindliche“ Banken,substructures present in the given proteins. The algorithm is a heuristic in that it computes an approximation to the optimal alignment that minimizes the sum of the pairwise distances between the consensus and the transformed proteins. A distinguishing feature of the algorithm is that it works dire

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https://doi.org/10.1007/978-3-662-33022-7d incorporates several novel ideas: (1) palindromic spaced seed patterns to match both DNA strands simultaneously, (2) seed extension (chaining) in order of decreasing multiplicity, and (3) procrastination when low multiplicity matches are encountered. The resulting local multiple alignments may hav

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https://doi.org/10.1007/978-3-662-33022-7 speciation event. Otherwise, methods for finding regions under evolutionary selection will not perform properly. Conversely, the alignments should indicate every orthologous pair of genes or genomic segments. Attaining this goal in practice requires a technique for avoiding a combinatorial explosio