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

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樓主: 尖酸好
51#
發(fā)表于 2025-3-30 10:38:51 | 只看該作者
52#
發(fā)表于 2025-3-30 15:12:02 | 只看該作者
53#
發(fā)表于 2025-3-30 18:12:22 | 只看該作者
Beaches of Islands of Tractability: Algorithms for Parsimony and Minimum Perfect Phylogeny Haplotypthe tractability frontier of . we provide the first concrete, positive results for this problem, and the algorithms underpinning these results offer new insights about how . might be further tackled in the future. In both . and . intriguing open problems remain.
54#
發(fā)表于 2025-3-31 00:06:54 | 只看該作者
55#
發(fā)表于 2025-3-31 03:28:59 | 只看該作者
https://doi.org/10.1007/978-3-663-16165-3 be modified in order to accommodate the split, and some of its properties are investigated. We demonstrate the usefulness of the approach by recovering a plausible hybridization scenario for buttercups from a pair of gene trees that cannot be obtained by existing methods. In a second example, a set
56#
發(fā)表于 2025-3-31 05:55:25 | 只看該作者
https://doi.org/10.1007/978-3-662-34431-6of breakpoints the mutations change in the breakpoint graph, the second algorithm characterizes the mutations by the change in the number of cycles. Both algorithms run in .(.) time, where . is the size of the genome. This is a significant improvement compared with the so far available brute force m
57#
發(fā)表于 2025-3-31 09:46:48 | 只看該作者
58#
發(fā)表于 2025-3-31 15:30:22 | 只看該作者
Efficient Model-Based Clustering for LC-MS Data,s constraints. In this paper we investigate different classes of models and select the most suitable one. We analyze the results in terms of statistically significant biomarkers that can be identified after alignment of spectra.
59#
發(fā)表于 2025-3-31 19:02:15 | 只看該作者
60#
發(fā)表于 2025-3-31 21:42:42 | 只看該作者
Efficient Sampling of Transpositions and Inverted Transpositions for Bayesian MCMC,of breakpoints the mutations change in the breakpoint graph, the second algorithm characterizes the mutations by the change in the number of cycles. Both algorithms run in .(.) time, where . is the size of the genome. This is a significant improvement compared with the so far available brute force m
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