{"product_id":"predictive-methods-for-genomics-and-evolution-isbn-9781394317424","title":"Predictive Methods for Genomics and Evolution","description":"\u003cp\u003e\u003cb\u003eInnovative title providing a systematic account of new predictive alignment-free methods in genomics and bioinformatics, emphasizing their computational efficiency\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003ePredictive Methods for Genomics and Evolution\u003c\/i\u003e provides a cohesive overview of major alignment-based and alignment-free methods in genomics and bioinformatics, primarily based on DNA\/RNA. Throughout the book, contrasts between current conventional methods and novel alignment-free methods are presented and evaluated across a wide range of topics. \u003c\/p\u003e\u003cp\u003eWritten by a team of experienced academics with significant research experience in the field, \u003ci\u003ePredictive Methods for Genomics and Evolution\u003c\/i\u003e discusses sample topics including: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eMajor unresolved problems in biology including the most fundamental concept of species, the nature of evolution and speciation, phylogenetic inference, pathogenicity, and the origin of life\u003c\/li\u003e \u003cli\u003eLimitations of alignment-based predictive technologies such as high resource usage\u003c\/li\u003e \u003cli\u003eNovel interpretations of current hypotheses from a biological perspective with wide-ranging applications in bioinformatics and medicine\u003c\/li\u003e \u003cli\u003eInsights on the shift in the research status quo towards a wider application of alignment-free methodologies, fueled by increased availability of data and advances in science and technology\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003ePredictive Methods for Genomics and Evolution\u003c\/i\u003e is an essential guide on the subject for professionals, academics, researchers, and students within the fields of genomics, evolutionary biology, phylogenetics and taxonomy, and computational biology and bioinformatics, as well as medical practitioners in related fields. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eContents\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 1 What is Biology?\u003c\/p\u003e \u003cp\u003eChapter 2 Genomes to Phenotypes, Environments, and Genomes\u003c\/p\u003e \u003cp\u003eChapter 3 Species Definitions and their Limitations\u003c\/p\u003e \u003cp\u003eChapter 4 Speciation and Evolution\u003c\/p\u003e \u003cp\u003eChapter 5 From Genomes to Evolution\u003c\/p\u003e \u003cp\u003eChapter 6 Conventional Phylogenetics and Systematics\u003c\/p\u003e \u003cp\u003eChapter 7 New Approaches to Phylogenetics\u003c\/p\u003e \u003cp\u003eChapter 8 About the Origin of Life\u003c\/p\u003e \u003cp\u003eChapter 9 Towards an Analytical Biology\u003c\/p\u003e \u003cp\u003eChapter 10 Appendices \u003c\/p\u003e  \u003cp\u003e\u003cb\u003eMax Garzon\u003c\/b\u003e is Professor of computer science and bioinformatics at the University of Memphis, where he teaches both undergraduate and graduate courses in data science, neurocomputing, bioinformatics, foundations of computing and cyber ethics. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eLuis Fernando Garcia\u003c\/b\u003e is an Associate Professor at the National University of Colombia. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eFredy Alexander Colorado\u003c\/b\u003e is a researcher who has spent doctoral stays at Clemson University, USA and the University of Alberta, Canada.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989840642277,"sku":"NP9781394317424","price":175.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781394317424.jpg?v=1761785643","url":"https:\/\/k12savings.com\/es\/products\/predictive-methods-for-genomics-and-evolution-isbn-9781394317424","provider":"K12savings","version":"1.0","type":"link"}