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Titlebook: Advances in Bioinformatics; 4th International Wo Miguel P. Rocha,Florentino Fernández Riverola,Juan Conference proceedings 2010 Springer Be

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樓主: 使醉
11#
發(fā)表于 2025-3-23 11:27:28 | 只看該作者
12#
發(fā)表于 2025-3-23 15:46:42 | 只看該作者
13#
發(fā)表于 2025-3-23 21:51:59 | 只看該作者
14#
發(fā)表于 2025-3-24 00:53:40 | 只看該作者
Elastisch-plastische Bruchmechanik, these repetitions, which one can observe in humans, also exist in orthologous genes of several organisms, and how they have evolved along time. However, for this kind of study, it is necessary to use different databases and computation methods that are not integrated in any specific tool. In this p
15#
發(fā)表于 2025-3-24 02:58:39 | 只看該作者
Dynamische Probleme der Bruchmechanik,We were able to show that regardless of the selection criteria used, the simulated model or a very close one was identified most of the time. In addition, the estimates of the different model parameters were very accurate. Our results suggest that protein model selection works reasonably well.
16#
發(fā)表于 2025-3-24 09:36:16 | 只看該作者
https://doi.org/10.1007/978-3-658-36151-8xity of mathematical models impose practical limits on workable problem sizes. In this article we explore the scalability of popular algorithms under real datasets as problem dimensions grow. We furthermore develop an efficient preclassification and partitioning strategy based on guide trees, which
17#
發(fā)表于 2025-3-24 12:58:10 | 只看該作者
18#
發(fā)表于 2025-3-24 18:33:39 | 只看該作者
https://doi.org/10.1007/978-3-662-06175-6 the verification and prediction of “natural” emanations of the language. Language models are devoted to capture salient statistical characteristics of the distribution of sequences of words, which transposed to the genomic language, allow modeling a predictive system of the peculiarities and regula
19#
發(fā)表于 2025-3-24 21:30:36 | 只看該作者
20#
發(fā)表于 2025-3-25 00:05:19 | 只看該作者
https://doi.org/10.1007/978-3-662-21678-1f semibinary tree-sibling networks, being thus the only non-trivial metric computable in polynomial-time available so far on this class. And second, that a simple generalization of the nodal distance from binary phylogenetic trees to binary phylogenetic networks has the same separation power as the one given in [8].
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