Probability And Mathematical Genetics PDF Download
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Author | : N. H. Bingham |
Publisher | : Cambridge University Press |
Total Pages | : 547 |
Release | : 2010-07-15 |
Genre | : Mathematics |
ISBN | : 1139487922 |
Download Probability and Mathematical Genetics Book in PDF, ePub and Kindle
No leading university department of mathematics or statistics, or library, can afford to be without this unique text. Leading authorities give a unique insight into a wide range of currently topical problems, from the mathematics of road networks to the genomics of cancer.
Author | : N. H. Bingham |
Publisher | : |
Total Pages | : 547 |
Release | : 2014-05-14 |
Genre | : Genetics |
ISBN | : 9781139127806 |
Download Probability and Mathematical Genetics Book in PDF, ePub and Kindle
Leading authorities cover a wide range of currently topical problems in probability and mathematical genetics.
Author | : N. H. Bingham |
Publisher | : Cambridge University Press |
Total Pages | : 546 |
Release | : 2010-07-15 |
Genre | : Mathematics |
ISBN | : 9780521145770 |
Download Probability and Mathematical Genetics Book in PDF, ePub and Kindle
Focusing on the work of Sir John Kingman, one of the world's leading researchers in probability and mathematical genetics, this book touches on the important areas of these subjects in the last 50 years. Leading authorities give a unique insight into a wide range of currently topical problems. Papers in probability concentrate on combinatorial and structural aspects, in particular exchangeability and regeneration. The Kingman coalescent links probability with mathematical genetics and is fundamental to the study of the latter. This has implications across the whole of genomic modeling including the Human Genome Project. Other papers in mathematical population genetics range from statistical aspects including heterogeneous clustering, to the assessment of molecular variability in cancer genomes. Further papers in statistics are concerned with empirical deconvolution, perfect simulation, and wavelets. This book will be warmly received by established experts as well as their students and others interested in the content.
Author | : Anthony William Fairbank Edwards |
Publisher | : Cambridge University Press |
Total Pages | : 138 |
Release | : 2000-01-13 |
Genre | : Science |
ISBN | : 9780521775441 |
Download Foundations of Mathematical Genetics Book in PDF, ePub and Kindle
A definitive account of the origins of modern mathematical population genetics, first published in 2000.
Author | : Warren J. Ewens |
Publisher | : Springer Science & Business Media |
Total Pages | : 435 |
Release | : 2012-10-01 |
Genre | : Science |
ISBN | : 038721822X |
Download Mathematical Population Genetics 1 Book in PDF, ePub and Kindle
This is the first of a planned two-volume work discussing the mathematical aspects of population genetics with an emphasis on evolutionary theory. This volume draws heavily from the author’s 1979 classic, but it has been revised and expanded to include recent topics which follow naturally from the treatment in the earlier edition, such as the theory of molecular population genetics.
Author | : W.J. Ewens |
Publisher | : Springer Science & Business Media |
Total Pages | : 153 |
Release | : 2013-03-12 |
Genre | : Science |
ISBN | : 9401033552 |
Download Population Genetics Book in PDF, ePub and Kindle
Population genetics is the mathematical investigation of the changes in the genetic structure of populations brought about by selection, mutation, inbreeding, migration, and other phenomena, together with those random changes deriving from chance events. These changes are the basic components of evolutionary progress, and an understanding of their effect is therefore necessary for an informed discussion of the reasons for and nature of evolution. It would, however, be wrong to pretend that a mathematical theory, depending as it must on a large number of simplifying assump tions, should be accepted unreservedly and that its conclusions should be accepted uncritically. No-one would pretend that in the event of disagreement between observation and mathematical prediction, the discrepancy is due to anything other than the inadequacy of the mathematical treatment. The biological world is, of course, far too complex for the study of population genetics to be simply a branch of applied mathematics, so that while we are concerned here with the mathematical theory, I have tried to indicate which of our results should continue to apply in a context wider than that in which they are formally derived. The difficulties involved in the joint discussions of mathematical and genetical problems are obvious enough. I have tried to aim this book rather more at the mathematician than at the geneticist, and for this reason a brief glossary of common genetical terms is included.
Author | : I︠U︡riĭ Ilʹich Li︠u︡bich |
Publisher | : Springer |
Total Pages | : 400 |
Release | : 1992-03-16 |
Genre | : Mathematics |
ISBN | : |
Download Mathematical Structures in Population Genetics Book in PDF, ePub and Kindle
Very Good,No Highlights or Markup,all pages are intact.
Author | : Alison Etheridge |
Publisher | : Springer Science & Business Media |
Total Pages | : 129 |
Release | : 2011-01-07 |
Genre | : Mathematics |
ISBN | : 3642166318 |
Download Some Mathematical Models from Population Genetics Book in PDF, ePub and Kindle
This work reflects sixteen hours of lectures delivered by the author at the 2009 St Flour summer school in probability. It provides a rapid introduction to a range of mathematical models that have their origins in theoretical population genetics. The models fall into two classes: forwards in time models for the evolution of frequencies of different genetic types in a population; and backwards in time (coalescent) models that trace out the genealogical relationships between individuals in a sample from the population. Some, like the classical Wright-Fisher model, date right back to the origins of the subject. Others, like the multiple merger coalescents or the spatial Lambda-Fleming-Viot process are much more recent. All share a rich mathematical structure. Biological terms are explained, the models are carefully motivated and tools for their study are presented systematically.
Author | : Ken-ichi Kojima |
Publisher | : Springer Science & Business Media |
Total Pages | : 408 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 3642462448 |
Download Mathematical Topics in Population Genetics Book in PDF, ePub and Kindle
A basic method of analyzing particulate gene systems is the proba bilistic and statistical analyses. Mendel himself could not escape from an application of elementary probability analysis although he might have been unaware of this fact. Even Galtonian geneticists in the late 1800's and the early 1900's pursued problems of heredity by means of mathe matics and mathematical statistics. They failed to find the principles of heredity, but succeeded to establish an interdisciplinary area between mathematics and biology, which we call now Biometrics, Biometry, or Applied Statistics. A monumental work in the field of popUlation genetics was published by the late R. A. Fisher, who analyzed "the correlation among relatives" based on Mendelian gene theory (1918). This theoretical analysis over came "so-called blending inheritance" theory, and the orientation of Galtonian explanations for correlations among relatives for quantitative traits rapidly changed. We must not forget the experimental works of Johanson (1909) and Nilsson-Ehle (1909) which supported Mendelian gene theory. However, a large scale experiment for a test of segregation and linkage of Mendelian genes affecting quantitative traits was, prob ably for the first time, conducted by K. Mather and his associates and Panse in the 1940's.
Author | : J. F. C. Kingman |
Publisher | : SIAM |
Total Pages | : 78 |
Release | : 1980-01-01 |
Genre | : Science |
ISBN | : 0898711665 |
Download Mathematics of Genetic Diversity Book in PDF, ePub and Kindle
This book draws together some mathematical ideas that are useful in population genetics, concentrating on a few aspects which are both biologically relevant and mathematically interesting.