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Titlebook: Biological Evolution and Statistical Physics; Michael L?ssig,Angelo Valleriani Book 2002 Springer-Verlag Berlin Heidelberg 2002 Adaptation

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發(fā)表于 2025-3-25 04:39:08 | 只看該作者
https://doi.org/10.1007/3-540-45692-9Adaptation; Ensembl; Statistical Physics; Tempo; evolution; phylogeny
22#
發(fā)表于 2025-3-25 09:14:19 | 只看該作者
23#
發(fā)表于 2025-3-25 14:41:38 | 只看該作者
Spatio-temporal modes of speciationamical pathways of speciation resulting from a coupling of space, competition and mating behaviour: (i) sympatric at small habitat heterogeneity, (ii) sympatric with subsequent spatial differentiation at intermediate heterogeneity, and (iii) allopatric under strong heterogeneity.
24#
發(fā)表于 2025-3-25 16:00:31 | 只看該作者
Fragestellungen und Hypothesen,is predicted that the score statistics of this “hybrid” algorithm is of the universal Gumbel form, with the key Gumbel parameter λ taking on a . asymptotic value for a wide variety of scoring parameters.We have also characterized the “extremal ensemble”, i.e., the collection of sequence pairs exhibi
25#
發(fā)表于 2025-3-25 23:38:39 | 只看該作者
Fragestellungen und Hypothesen,onally been an interactive process, the rapid growth of genetic sequence data has engendered a need for automated sequence analysis without human intervention. This requires more accurate methods based on rigorous mathematical models that reflect sequence biology in a realistic way. Focusing on MSA
26#
發(fā)表于 2025-3-26 02:51:25 | 只看該作者
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發(fā)表于 2025-3-26 04:27:06 | 只看該作者
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發(fā)表于 2025-3-26 10:10:03 | 只看該作者
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發(fā)表于 2025-3-26 16:00:32 | 只看該作者
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發(fā)表于 2025-3-26 20:31:26 | 只看該作者
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