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Author: Rick Durrett
Publisher: Springer Science & Business Media
ISBN: 1475762852
Category : Mathematics
Languages : en
Pages : 246
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Book Description
"What underlying forces are responsible for the observed patterns of variability, given a collection of DNA sequences?" In approaching this question a number of probability models are introduced and anyalyzed.Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies that illustrate the use of these results.
Author: Rick Durrett
Publisher: Springer Science & Business Media
ISBN: 1475762852
Category : Mathematics
Languages : en
Pages : 246
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Book Description
"What underlying forces are responsible for the observed patterns of variability, given a collection of DNA sequences?" In approaching this question a number of probability models are introduced and anyalyzed.Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies that illustrate the use of these results.
Author: Rick Durrett
Publisher:
ISBN:
Category :
Languages : en
Pages : 240
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Book Description
Author: Tania Rosso
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Probability Models For Dna Sequence Evolution
Publisher:
ISBN: 9788181281128
Category :
Languages : en
Pages : 248
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Book Description
Author: Jens Ledet Jensen
Publisher:
ISBN:
Category :
Languages : en
Pages : 21
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 21
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Richard Durbin
Publisher: Cambridge University Press
ISBN: 113945739X
Category : Science
Languages : en
Pages : 372
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Book Description
Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.
Author: Models DNA sequence evolution
Publisher:
ISBN: 9781682511275
Category :
Languages : en
Pages : 208
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Book Description
Author: Katy L. Simonsen
Publisher:
ISBN:
Category :
Languages : en
Pages : 298
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Book Description
