Statistical Analysis of Molecular and Genomic Evolution Xun Gu ebook#
Page: 176
Format: pdf / epub / kindle
ISBN: 9780198816515
Publisher: Oxford University Press
The field of molecular and genomic evolution has been catalysed by the ever increasing availability of high throughput data such as transcriptome evolution, genotype-phenotype evolution, and genetic robustness. However, there is also an urgent requirement for the emergence of new paradigms (universally accepted scientific frameworks) supported by conceptual breakthroughs, since there is now widespread agreement that genome evolution research should be far more than a static pattern characterized by some well-known arguments and yet more big data for testing or extension. Furthermore, while the internet has made a vast body of literature and data widely accessible, researchers are increasingly facing significant challenges in how to select from this huge reserve appropriately and systematically.Statistical Analysis of Molecular and Genomic Evolution sets out to provide a solution to the most frequently asked question by next-generation young researchers in the area of evolutionary genomics: What is the knowledge that is essential for moving the research forward and where can it be found? Although the book incorporates the latest research foci, it is written at the simplest mathematical level whilst sophisticated enough to provide a deep understanding of current principles and methods. Technical issues are described only briefly, mathematical derivations are kept to a minimum, and it is structured and presented in a way that encourages its use as a graduate textbook. Mindful of the steep learning curve that some biologist readers may face, online appendices review basic mathematical and statistical concepts used in the book, and provide further examples and practical exercises.This is an advanced textbook suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in the fields of molecular phylogenetics, evolutionary biology, bioinformatics, mathematics, and statistics.Topological Data Analysis for Genomics and Evolution Topological Data Analysis for Genomics and Evolution. Topology in Biology. Search within full text. Access. Raul Rabadan, Columbia University, New York. Statistical Analysis of Molecular and Genomic Evolution (Hardcover) This is an advanced textbook suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in . Projectpage – GEvol – DFG SPP 2349 Understanding the genomic evolution and molecular mechanisms of silk . Here we propose to study the genomic basis of repeated phenotypic loss using pollen . Molecular Cell: Cell Press Molecular Cell aims to publish the best research in molecular biology. The journal covers core cellular processes. Statistical Analysis of Molecular and Genomic Evolution - Xun Gu Statistical Analysis of Molecular and Genomic Evolution. Xun Gu. Format. Paperback. Publisher. Oxford University Press. ISBN. 9780198816522. Statistical Analysis of Molecular and Genomic Evolution by Xun Gu This is an advanced textbook suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in . The Human Genome Project study all of the DNA (known as a genome) of a select set . Related Content. Jay Shendure. 30 Oral Histories. Interviews w/ genomic leaders.