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Models and Methods for Biological Evolution : Mathematical Models and Algorithms to Study Evolution

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Models and Methods for Biological Evolution : Mathematical Models and Algorithms to Study Evolution
Περιγραφή: Biological evolution is the phenomenon concerning how species are born, are transformed or disappear over time. Its study relies on sophisticated methods that involve both mathematical modeling of the biological processes at play and the design of efficient algorithms to fit these models to genetic and morphological data. Models and Methods for Biological Evolution outlines the main methods to study evolution and provides a broad overview illustrating the variety of formal approaches used, notably including combinatorial optimization, stochastic models and statistical inference techniques. Some of the most relevant applications of these methods are detailed, concerning, for example, the study of migratory events of ancient human populations or the progression of epidemics. This book should thus be of interest to applied mathematicians interested in central problems in biology, and to biologists eager to get a deeper understanding of widely used techniques of evolutionary data analysis.
Συγγραφείς: Gilles Didier, Stephane Guindon
Resource Type: eBook.
Θέματα: Evolution--Mathematical models
Categories: SCIENCE / Life Sciences / Biology, SCIENCE / Life Sciences / Evolution
Βάση Δεδομένων: eBook Index
FullText Text:
  Availability: 0
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DbLabel: eBook Index
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PubType: eBook
PubTypeId: ebook
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  Data: Biological evolution is the phenomenon concerning how species are born, are transformed or disappear over time. Its study relies on sophisticated methods that involve both mathematical modeling of the biological processes at play and the design of efficient algorithms to fit these models to genetic and morphological data. Models and Methods for Biological Evolution outlines the main methods to study evolution and provides a broad overview illustrating the variety of formal approaches used, notably including combinatorial optimization, stochastic models and statistical inference techniques. Some of the most relevant applications of these methods are detailed, concerning, for example, the study of migratory events of ancient human populations or the progression of epidemics. This book should thus be of interest to applied mathematicians interested in central problems in biology, and to biologists eager to get a deeper understanding of widely used techniques of evolutionary data analysis.
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RecordInfo BibRecord:
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      – Code: 576.80285
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        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Evolution--Mathematical models
        Type: general
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      – TitleFull: Models and Methods for Biological Evolution : Mathematical Models and Algorithms to Study Evolution
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
            – D: 07
              M: 01
              Type: profile
              Y: 2025
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              Value: 9781394284238
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