Computational Analysis Of Genome Evolution
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Computational Analysis Of Genome Evolution
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Author : Aaron E. Darling
language : en
Publisher:
Release Date : 2006
Computational Analysis Of Genome Evolution written by Aaron E. Darling and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Computer Analysis Of Genetic Macromolecules Structure Function And Evolution
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Author : Nikolay A Kolchanov
language : en
Publisher: World Scientific
Release Date : 1994-03-29
Computer Analysis Of Genetic Macromolecules Structure Function And Evolution written by Nikolay A Kolchanov and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-03-29 with Science categories.
Molecular biology and genetics are fast-growing fields with significant results and findings being reported virtually every day. Raw data from the wet lab accumulate at an astonishing rate, making it necessary to analyze the biological data with the use of computers. This book reveals how the current challenges of molecular biology and genetics are met with computer and mathematical treatments. A combined effort of the Computational Genetics and Biophysics Group (Supercomputer Computations Research Institute, USA), the Theoretical Molecular Genetics (Russian Academy of Sciences, Russia) and the Bioinformatics Group (Consiglio Nazionale delle Ricerche, Italy), many of these findings are firsthand discoveries made by these groups. The book emphasizes the fundamental principles of the structural-functional organization of the 3 major classes of genetic macromolecules: DNA, RNA and proteins. It also introduces universally applicable theoretical principles into the enormous realm of raw data and develops an integrative, theoretical computer approach to the analysis of these macromolecules to gain insights into the complexities of their function and evolution.
Origin And Evolution Of New Gene Functions
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Author : Manyuan Long
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Origin And Evolution Of New Gene Functions written by Manyuan Long and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
Although interest in evolutionary novelties can be that these different mechanisms cooperate in the mak traced back to the time of Darwin, the appreciation ing of new genes. In the second phase of new gene evolution, conventional models of new gene evolution, and systematical experimental pursuit of the origin and evolution of new gene functions did not appear for example by gene duplication, held that the muta until the early years of last decade. Since the 1970s, tions fixed in the early stages of the new genes are Susumu Ohno, Walter Gilbert, and others from the assumed to be neutral or nearly neutral. However, it area of evolutionary genetics have made pioneer ef appears that the force of Darwinian positive selection has been detectably strong from the outset in avail forts to elaborate possibilities for major biological mechanisms, for example, gene duplication and exon able population genetic studies of young genes created through the process of exon recombination. This may shuffling, by which new gene functions could arise. However, the problem of new gene evolution did not account for a common phenomenon in phylogenetic catch significant attention among biologists generally analyses of genes with changed functions: the early even recently. One of the reasons was the lack of ex stages of such genes are usually associated with accel perimental or observational systems for investigating erated substitution rates. Nonetheless, a more general factual details of the 'birth' process of new genes.
Models And Algorithms For Genome Evolution
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Author : Cedric Chauve
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-09-17
Models And Algorithms For Genome Evolution written by Cedric Chauve and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-17 with Computers categories.
This authoritative text/reference presents a review of the history, current status, and potential future directions of computational biology in molecular evolution. Gathering together the unique insights of an international selection of prestigious researchers, this must-read volume examines the latest developments in the field, the challenges that remain, and the new avenues emerging from the growing influx of sequence data. These viewpoints build upon the pioneering work of David Sankoff, one of the founding fathers of computational biology, and mark the 50th anniversary of his first scientific article. The broad spectrum of rich contributions in this essential collection will appeal to all computer scientists, mathematicians and biologists involved in comparative genomics, phylogenetics and related areas.
Bioinformatics Of Genome Evolution From Ancestral To Modern Metabolism Phylogenomics And Comparative Genomics To Understand Microbial Evolution
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Author : Marco Fondi
language : en
Publisher: Firenze University Press
Release Date : 2011
Bioinformatics Of Genome Evolution From Ancestral To Modern Metabolism Phylogenomics And Comparative Genomics To Understand Microbial Evolution written by Marco Fondi and has been published by Firenze University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Medical categories.
Bioinformatics, that is the interdisciplinary field that blends computer science and biostatistics with biological and biomedical sciences, is expected to gain a central role in next feature. Indeed, it has now affected several fields of biology, providing crucial hints for the understanding of biological systems and also allowing a more accurate design of wet lab experiments. In this work, the analysis of sequence data has be used in different fields, such as evolution (e.g. the assembly and evolution of metabolism), infections control (e.g. the horizontal flow of antibiotic resistance), ecology (bacterial bioremediation).
Advances In Bioinformatics
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Author : Vijai Singh
language : en
Publisher: Springer Nature
Release Date : 2021-07-31
Advances In Bioinformatics written by Vijai Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-31 with Science categories.
This book presents the latest developments in bioinformatics, highlighting the importance of bioinformatics in genomics, transcriptomics, metabolism and cheminformatics analysis, as well as in drug discovery and development. It covers tools, data mining and analysis, protein analysis, computational vaccine, and drug design. Covering cheminformatics, computational evolutionary biology and the role of next-generation sequencing and neural network analysis, it also discusses the use of bioinformatics tools in the development of precision medicine. This book offers a valuable source of information for not only beginners in bioinformatics, but also for students, researchers, scientists, clinicians, practitioners, policymakers, and stakeholders who are interested in harnessing the potential of bioinformatics in many areas.
Deep Learning In Genetics And Genomics
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Author : Khalid Raza
language : en
Publisher: Elsevier
Release Date : 2024-11-28
Deep Learning In Genetics And Genomics written by Khalid Raza and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Science categories.
Deep Learning in Genetics and Genomics: Vol. 2 (Advanced Applications) delves into the Deep Learning methods and their applications in various fields of studies, including genetics and genomics, bioinformatics, health informatics and medical informatics generating the momentum of today's developments in the field. In 25 chapters this title covers advanced applications in the field which includes deep learning in predictive medicines), analysis of genetic and clinical features, transcriptomics and gene expression patterns analysis, clinical decision support in genetic diagnostics, deep learning in personalised genomics and gene editing, and understanding genetic discoveries through Explainable AI. Further, it also covers various deep learning-based case studies, making this book a unique resource for wider, deeper, and in-depth coverage of recent advancement in deep learning based approaches. This volume is not only a valuable resource for health educators, clinicians, and healthcare professionals but also to graduate students of genetics, genomics, biology, biostatistics, biomedical sciences, bioinformatics, and interdisciplinary sciences. - Embraces the potential that deep learning holds for understanding genome biology - Encourages further advances in this area, extending to all aspects of genomics research - Provides Deep Learning algorithms in genetic and genomic research
Bacterial Population Genetics In Infectious Disease
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Author : D. Ashley Robinson
language : en
Publisher: John Wiley & Sons
Release Date : 2010-03-16
Bacterial Population Genetics In Infectious Disease written by D. Ashley Robinson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-16 with Science categories.
This book is a unique synthesis of the major concepts and methods in bacterial population genetics in infectious disease, a field that is now about 35 yrs old. Emphasis is given to explaining population-level processes that shape genetic variation in bacterial populations and statistical methods of analysis of bacterial genetic data. A "how to" of bacterial population genetics, which covers an extremely large range of organisms Expanding area of science due to high-throughput genome sequencing of bacterial pathogens Covers both fundamental approaches to analyzing bacterial population structures with conceptual background in bacterial population biology Detailed treatment of statistical methods
Statistical Analysis Of Molecular And Genomic Evolution
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Author : Xun Gu
language : en
Publisher: Oxford University Press
Release Date : 2024-10-08
Statistical Analysis Of Molecular And Genomic Evolution written by Xun Gu and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-08 with Science categories.
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.
Sequence Evolution Function
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Author : Eugene V. Koonin
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Sequence Evolution Function written by Eugene V. Koonin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Science categories.
Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.