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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
31#
發(fā)表于 2025-3-26 21:21:34 | 只看該作者
Der brave Soldat ?vejk im Nahen Ostenthe 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.
32#
發(fā)表于 2025-3-27 01:50:56 | 只看該作者
33#
發(fā)表于 2025-3-27 09:20:01 | 只看該作者
https://doi.org/10.1007/978-3-662-33022-7 that contain all edges. We provide an upper bound for an important class of graphs (the problem is NP-hard and very difficult to approximate in the general case), and use the bound and computer simulations to evaluate two heuristic solutions. An implementation of one of them is evaluated on mammalian sequences from the .-globin gene cluster.
34#
發(fā)表于 2025-3-27 13:07:57 | 只看該作者
On the Complexity of SNP Block Partitioning Under the Perfect Phylogeny Model,yped under the perfect phylogeny model. We show that finding an optimum partition is NP-hard even if we are guaranteed that two subsets suffice. On the positive side, we show that a variant of the problem, in which each subset is required to admit a perfect . phylogeny haplotyping, is solvable in polynomial time.
35#
發(fā)表于 2025-3-27 14:08:29 | 只看該作者
Controlling Size When Aligning Multiple Genomic Sequences with Duplications, that contain all edges. We provide an upper bound for an important class of graphs (the problem is NP-hard and very difficult to approximate in the general case), and use the bound and computer simulations to evaluate two heuristic solutions. An implementation of one of them is evaluated on mammalian sequences from the .-globin gene cluster.
36#
發(fā)表于 2025-3-27 20:13:10 | 只看該作者
37#
發(fā)表于 2025-3-27 22:24:30 | 只看該作者
Beurteilung der Lage Erstmassnahmen vor Ortibution. The negative binomial distribution is obtained by an array of . states, each with the same transition probability to itself. We shift this negative binomial distribution by using a serial of states linearly connected before the binomial model.
38#
發(fā)表于 2025-3-28 02:37:02 | 只看該作者
39#
發(fā)表于 2025-3-28 08:24:16 | 只看該作者
40#
發(fā)表于 2025-3-28 10:35:44 | 只看該作者
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