Advances In Genomic Sequence Analysis And Pattern Discovery
Download Advances In Genomic Sequence Analysis And Pattern Discovery full books in PDF, epub, and Kindle. Read online free Advances In Genomic Sequence Analysis And Pattern Discovery ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Laura Elnitski |
| Publisher | : World Scientific |
| Total Pages | : 236 |
| Release | : 2011 |
| Genre | : Science |
| ISBN | : 9814327727 |
Mapping the genomic landscapes is one of the most exciting frontiers of science. We have the opportunity to reverse engineer the blueprints and the control systems of living organisms. Computational tools are key enablers in the deciphering process. This book provides an in-depth presentation of some of the important computational biology approaches to genomic sequence analysis. The first section of the book discusses methods for discovering patterns in DNA and RNA. This is followed by the second section that reflects on methods in various ways, including performance, usage and paradigms.
| Author | : Gavin Williams |
| Publisher | : Royal Society of Chemistry |
| Total Pages | : 594 |
| Release | : 2018-05-31 |
| Genre | : Science |
| ISBN | : 1788014537 |
The synergy between synthetic biology and biocatalysis is emerging as an important trend for future sustainable processes. This book reviews all modern and novel techniques successfully implemented in biocatalysis, in an effort to provide better performing enzymatic systems and novel biosynthetic routes to (non-)natural products. This includes the use of molecular techniques in protein design and engineering, construction of artificial metabolic pathways, and application of computational methods for enzyme discovery and design. Stress is placed on current ‘hot’ topics in biocatalysis, where recent advances in research are defining new grounds in enzyme-catalyzed processes. With contributions from leading academics around the world, this book makes a ground-breaking contribution to this progressive field and is essential reading for graduates and researchers investigating (bio)catalysis, enzyme engineering, chemical biology, and synthetic biology.
| 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 | : Prerna Sharma |
| Publisher | : CRC Press |
| Total Pages | : 190 |
| Release | : 2020-11-12 |
| Genre | : Computers |
| ISBN | : 100021446X |
In the era of the Internet of Things and with the explosive worldwide growth of electronic data volume, and associated need of processing, analysis, and storage of such a humongous amount of data, it has now become mandatory to exploit the power of massively parallel architecture for fast computation. Cloud computing provides a cheap source of such a computing framework for a large volume of data for real-time applications. It is, therefore, not surprising to see that cloud computing has become a buzzword in the computing fraternity over the last decade. Applications of Cloud Computing: Approaches and Practices lays a good foundation for the core concepts and principles of cloud computing applications, walking the reader through the fundamental ideas with expert ease. The book progresses on the topics in a step-by-step manner. It reinforces theory with a full-fledged pedagogy designed to enhance students' understanding and offer them a practical insight into the applications of it. It is a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities.
| Author | : Roman Wyrzykowski |
| Publisher | : Springer |
| Total Pages | : 687 |
| Release | : 2012-07-04 |
| Genre | : Computers |
| ISBN | : 3642315003 |
This two-volume-set (LNCS 7203 and 7204) constitutes the refereed proceedings of the 9th International Conference on Parallel Processing and Applied Mathematics, PPAM 2011, held in Torun, Poland, in September 2011. The 130 revised full papers presented in both volumes were carefully reviewed and selected from numerous submissions. The papers address issues such as parallel/distributed architectures and mobile computing; numerical algorithms and parallel numerics; parallel non-numerical algorithms; tools and environments for parallel/distributed/grid computing; applications of parallel/distributed computing; applied mathematics, neural networks and evolutionary computing; history of computing.
| Author | : Hsu, Hui-Huang |
| Publisher | : IGI Global |
| Total Pages | : 342 |
| Release | : 2006-03-31 |
| Genre | : Computers |
| ISBN | : 1591408652 |
"This book covers research topics of data mining on bioinformatics presenting the basics and problems of bioinformatics and applications of data mining technologies pertaining to the field"--Provided by publisher.
| 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 | : Xuhua Xia |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 193 |
| Release | : 2011-10-21 |
| Genre | : Computers |
| ISBN | : 9533072814 |
This book consists of nine chapters covering a variety of bioinformatics subjects, ranging from database resources for protein allergens, unravelling genetic determinants of complex disorders, characterization and prediction of regulatory motifs, computational methods for identifying the best classifiers and key disease genes in large-scale transcriptomic and proteomic experiments, functional characterization of inherently unfolded proteins/regions, protein interaction networks and flexible protein-protein docking. The computational algorithms are in general presented in a way that is accessible to advanced undergraduate students, graduate students and researchers in molecular biology and genetics. The book should also serve as stepping stones for mathematicians, biostatisticians, and computational scientists to cross their academic boundaries into the dynamic and ever-expanding field of bioinformatics.
| Author | : Zheng Rong Yang |
| Publisher | : World Scientific |
| Total Pages | : 462 |
| Release | : 2021-09-17 |
| Genre | : Science |
| ISBN | : 9811240132 |
This book provides the research directions for new or junior researchers who are going to use machine learning approaches for biological pattern discovery. The book was written based on the research experience of the author's several research projects in collaboration with biologists worldwide. The chapters are organised to address individual biological pattern discovery problems. For each subject, the research methodologies and the machine learning algorithms which can be employed are introduced and compared. Importantly, each chapter was written with the aim to help the readers to transfer their knowledge in theory to practical implementation smoothly. Therefore, the R programming environment was used for each subject in the chapters. The author hopes that this book can inspire new or junior researchers' interest in biological pattern discovery using machine learning algorithms.
| Author | : Edwin Lughofer |
| Publisher | : Springer |
| Total Pages | : 467 |
| Release | : 2011-01-31 |
| Genre | : Technology & Engineering |
| ISBN | : 3642180876 |
In today’s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences. Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.
