Introduction to Evolutionary Genomics: Edition 2

· Computational Biology 17 ବହି · Springer
ଇବୁକ୍
504
ପୃଷ୍ଠାଗୁଡ଼ିକ
ରେଟିଂ ଓ ସମୀକ୍ଷାଗୁଡ଼ିକୁ ଯାଞ୍ଚ କରାଯାଇନାହିଁ  ଅଧିକ ଜାଣନ୍ତୁ

ଏହି ଇବୁକ୍ ବିଷୟରେ

Evolutionary genomics is a new discipline that bridges the fields of molecular evolution, bioinformatics and genomics in order to provide a unique perspective on the history of life.

This easy-to-follow textbook is the first of its kind to explain the fundamentals of evolutionary genomics. The comprehensive coverage includes concise descriptions of a variety of genome organizations, a thorough discussion of the methods used, and a detailed review of genome sequence processing procedures. The opening chapters also provide the necessary basics for readers unfamiliar with evolutionary studies.

Topics and features: introduces the basics of molecular biology, DNA replication, mutation, phylogeny, neutral evolution, and natural selection; presents a brief evolutionary history of life from the primordial seas to the emergence of modern humans; describes the genomes of prokaryotes, eukaryotes, vertebrates, and humans; reviews methods for genome sequencing, phenotype data collection, homology searches and analysis, and phylogenetic tree and network building; discusses databases of genome sequences and related information, evolutionary distances, and population genomics; provides supplementary material at the website http://www.saitou-naruya-laboratory.org/Evolutionary_Genomics/.

This essential text/reference provides an easy-to-read introduction to the field for undergraduate and graduate students, post-doctoral fellows, and established researchers from both computer science and the biological sciences.

ଲେଖକଙ୍କ ବିଷୟରେ

Dr. Naruya Saitou is a Professor in the Division of Population Genetics at the National Institute of Genetics, and a Professor in the Department of Genetics at the Graduate University for Advanced Studies, Mishima, Japan. He is also a Professor in the Department of Biological Sciences at the University of Tokyo, Japan.

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