Computational Methods To Study Genomic Structure And Structural Variation
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| Author | : Richard Durbin |
| Publisher | : Cambridge University Press |
| Total Pages | : 372 |
| Release | : 1998-04-23 |
| Genre | : Science |
| ISBN | : 113945739X |
Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.
| Author | : James R. Lupski |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 419 |
| Release | : 2007-11-10 |
| Genre | : Medical |
| ISBN | : 1597450391 |
A grand summary and synthesis of the tremendous amount of data now available in the post genomic era on the structural features, architecture, and evolution of the human genome. The authors demonstrate how such architectural features may be important to both evolution and to explaining the susceptibility to those DNA rearrangements associated with disease. Technologies to assay for such structural variation of the human genome and to model genomic disorders in mice are also presented. Two appendices detail the genomic disorders, providing genomic features at the locus undergoing rearrangement, their clinical features, and frequency of detection.
| Author | : Richard C. Deonier |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 543 |
| Release | : 2005-12-27 |
| Genre | : Computers |
| ISBN | : 0387288074 |
This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features a free download of the R software statistics package and the text provides great crossover material that is interesting and accessible to students in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce concepts and present key results from the primary literature. Exercises are given at the end of chapters.
| Author | : Maria Anisimova |
| Publisher | : Humana Press |
| Total Pages | : 556 |
| Release | : 2012-03-08 |
| Genre | : Medical |
| ISBN | : 9781617795848 |
Together with early theoretical work in population genetics, the debate on sources of genetic makeup initiated by proponents of the neutral theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics: Statistical and Computational Methods is intended to bring together the more recent developments in the statistical methodology and the challenges that followed as a result of rapidly improving sequencing technologies. Presented by top scientists from a variety of disciplines, the collection includes a wide spectrum of articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight. Volume 2 begins with phylogenomics and continues with in-depth coverage of natural selection, recombination, and genomic innovation. The remaining chapters treat topics of more recent interest, including population genomics, -omics studies, and computational issues related to the handling of large-scale genomic data. Written in the highly successful Methods in Molecular BiologyTM series format, this work provides the kind of advice on methodology and implementation that is crucial for getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire both young and experienced readers to join the interdisciplinary field of evolutionary genomics.
| Author | : Torsten Schwede |
| Publisher | : World Scientific |
| Total Pages | : 790 |
| Release | : 2008 |
| Genre | : Science |
| ISBN | : 9812778780 |
This is a comprehensive introduction to Landau-Lifshitz equations and Landau-Lifshitz-Maxwell equations, beginning with the work by Yulin Zhou and Boling Guo in the early 1980s and including most of the work done by this Chinese group led by Zhou and Guo since. The book focuses on aspects such as the existence of weak solutions in multi dimensions, existence and uniqueness of smooth solutions in one dimension, relations with harmonic map heat flows, partial regularity and long time behaviors. The book is a valuable reference book for those who are interested in partial differential equations, geometric analysis and mathematical physics. It may also be used as an advanced textbook by graduate students in these fields.
| Author | : Eugene V. Koonin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 482 |
| Release | : 2013-06-29 |
| Genre | : Science |
| ISBN | : 1475737831 |
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.
| Author | : Asheesh Shanker |
| Publisher | : Springer |
| Total Pages | : 402 |
| Release | : 2018-10-13 |
| Genre | : Science |
| ISBN | : 9811315620 |
This book provides a comprehensive overview of the concepts and approaches used for sequence, structure, and phylogenetic analysis. Starting with an introduction to the subject and intellectual property protection for bioinformatics, it guides readers through the latest sequencing technologies, sequence analysis, genomic variations, metagenomics, epigenomics, molecular evolution and phylogenetics, structural bioinformatics, protein folding, structure analysis and validation, drug discovery, reverse vaccinology, machine learning, application of R programming in biological data analysis, and the use of Linux in handling large data files.
| Author | : Debmalya Barh |
| Publisher | : Academic Press |
| Total Pages | : 476 |
| Release | : 2020-03-06 |
| Genre | : Science |
| ISBN | : 0128170778 |
Pan-genomics: Applications, Challenges, and Future Prospects covers current approaches, challenges and future prospects of pan-genomics. The book discusses bioinformatics tools and their applications and focuses on bacterial comparative genomics in order to leverage the development of precise drugs and treatments for specific organisms. The book is divided into three sections: the first, an "overview of pan-genomics and common approaches, brings the main concepts and current approaches on pan-genomics research; the second, "case studies in pan-genomics, thoroughly discusses twelve case, and the last, "current approaches and future prospects in pan-multiomics, encompasses the developments on omics studies to be applied on bacteria related studies. This book is a valuable source for bioinformaticians, genomics researchers and several members of biomedical field interested in understanding further bacterial organisms and their relationship to human health. - Covers the entire spectrum of pangenomics, highlighting the use of specific approaches, case studies and future perspectives - Discusses current bioinformatics tools and strategies for exploiting pangenomics data - Presents twelve case studies with different organisms in order to provide the audience with real examples of pangenomics applicability
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 128 |
| Release | : 1988-01-01 |
| Genre | : Science |
| ISBN | : 0309038405 |
There is growing enthusiasm in the scientific community about the prospect of mapping and sequencing the human genome, a monumental project that will have far-reaching consequences for medicine, biology, technology, and other fields. But how will such an effort be organized and funded? How will we develop the new technologies that are needed? What new legal, social, and ethical questions will be raised? Mapping and Sequencing the Human Genome is a blueprint for this proposed project. The authors offer a highly readable explanation of the technical aspects of genetic mapping and sequencing, and they recommend specific interim and long-range research goals, organizational strategies, and funding levels. They also outline some of the legal and social questions that might arise and urge their early consideration by policymakers.
| Author | : G. Tiana |
| Publisher | : CRC Press |
| Total Pages | : 370 |
| Release | : 2021-03-31 |
| Genre | : Genomics |
| ISBN | : 9780367780456 |
This book provides a timely summary of physical modeling approaches applied to biological datasets that describe conformational properties of chromosomes in the cell nucleus. The coverage ranges from introductory chapters to modeling aspects related to polymer physics, and data-driven models for genomic domains, and predicting 3D genome structur
