Fitness Landscape, Red Queen, Evolutionary Enigmas, and Applications to Virology

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Fitness Landscape, Red Queen, Evolutionary Enigmas, and Applications to Virology
Περιγραφή: This two-volume work focuses on the mathematical aspects of Darwinian evolution starting from the basic model of stochastic evolution of a single isolated locus in the presence of mutation to the multi–locus models of sexual and asexual populations. Volume 2 discusses the inference of fi tness landscape from DNA sequence data, discovery of the evolutionary roles of enygmatic traits, co-evolution of adversarial species, and various applications to virus evolution.
Συγγραφείς: Igor M. Rouzine
Resource Type: eBook.
Θέματα: Evolution--Mathematical models
Categories: MATHEMATICS / Applied, SCIENCE / Life Sciences / Biophysics, SCIENCE / Life Sciences / Microbiology, SCIENCE / Bioinformatics
Βάση Δεδομένων: eBook Index
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DbLabel: eBook Index
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PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 968.509704589844
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  Data: This two-volume work focuses on the mathematical aspects of Darwinian evolution starting from the basic model of stochastic evolution of a single isolated locus in the presence of mutation to the multi–locus models of sexual and asexual populations. Volume 2 discusses the inference of fi tness landscape from DNA sequence data, discovery of the evolutionary roles of enygmatic traits, co-evolution of adversarial species, and various applications to virus evolution.
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      – Code: 576.80151
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Evolution--Mathematical models
        Type: general
    Titles:
      – TitleFull: Fitness Landscape, Red Queen, Evolutionary Enigmas, and Applications to Virology
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            NameFull: Igor M. Rouzine
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            – D: 01
              M: 01
              Type: published
              Y: 2023
            – D: 13
              M: 09
              Type: profile
              Y: 2023
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