Methods for Computational Gene Prediction - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Methods for Computational Gene Prediction write by William H. Majoros. This book was released on 2007-08-16. Methods for Computational Gene Prediction available in PDF, EPUB and Kindle. A self-contained, rigorous text describing models used to identify genes in genomic DNA sequences.
Gene Prediction
Gene Prediction - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Gene Prediction write by Martin Kollmar. This book was released on 2019-05-19. Gene Prediction available in PDF, EPUB and Kindle. This volume introduces software used for gene prediction with focus on eukaryotic genomes. The chapters in this book describe software and web server usage as applied in common use-cases, and explain ways to simplify re-annotation of long available genome assemblies. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary computational requirements, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Gene Prediction: Methods and Protocols is a valuable resource for researchers and research groups working on the assembly and annotation of single species or small groups of species. Chapter 3 is available open access under a CC BY 4.0 license via link.springer.com.
Handbook of Intelligent Computing and Optimization for Sustainable Development
Handbook of Intelligent Computing and Optimization for Sustainable Development - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Intelligent Computing and Optimization for Sustainable Development write by Mukhdeep Singh Manshahia. This book was released on 2022-02-11. Handbook of Intelligent Computing and Optimization for Sustainable Development available in PDF, EPUB and Kindle. HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries. Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence. In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort. Moreover, optimization is a very well-known area with a vast number of applications, from route finding problems to medical treatment, construction, finance, accounting, engineering, and maintenance schedules in plants. As far as optimization of real-world problems is concerned, understanding the nature of the problem and grouping it in a proper class may help the designer employ proper techniques which can solve the problem efficiently. Many intelligent optimization techniques can find optimal solutions without the use of objective function and are less prone to local conditions. The 41 chapters comprising the Handbook of Intelligent Computing and Optimization for Sustainable Development by subject specialists, represent diverse disciplines such as mathematics and computer science, electrical and electronics engineering, neuroscience and cognitive sciences, medicine, and social sciences, and provide the reader with an integrated understanding of the importance that intelligent computing has in the sustainable development of current societies. It discusses the emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative intelligent techniques in a variety of sectors, including IoT, manufacturing, optimization, and healthcare. Audience It is a pivotal reference source for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in the field of artificial intelligence in the areas of Internet of Things, renewable energy, optimization, and smart cities.
Computational Methods for Understanding Bacterial and Archaeal Genomes
Computational Methods for Understanding Bacterial and Archaeal Genomes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Methods for Understanding Bacterial and Archaeal Genomes write by Ying Xu. This book was released on 2008. Computational Methods for Understanding Bacterial and Archaeal Genomes available in PDF, EPUB and Kindle. Over 500 prokaryotic genomes have been sequenced to date, and thousands more have been planned for the next few years. While these genomic sequence data provide unprecedented opportunities for biologists to study the world of prokaryotes, they also raise extremely challenging issues such as how to decode the rich information encoded in these genomes. This comprehensive volume includes a collection of cohesively written chapters on prokaryotic genomes, their organization and evolution, the information they encode, and the computational approaches needed to derive such information. A comparative view of bacterial and archaeal genomes, and how information is encoded differently in them, is also presented. Combining theoretical discussions and computational techniques, the book serves as a valuable introductory textbook for graduate-level microbial genomics and informatics courses.
Comparative Gene Finding
Comparative Gene Finding - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Comparative Gene Finding write by Marina Axelson-Fisk. This book was released on 2015-04-13. Comparative Gene Finding available in PDF, EPUB and Kindle. This book presents a guide to building computational gene finders, and describes the state of the art in computational gene finding methods, with a focus on comparative approaches. Fully updated and expanded, this new edition examines next-generation sequencing (NGS) technology. The book also discusses conditional random fields, enhancing the broad coverage of topics spanning probability theory, statistics, information theory, optimization theory and numerical analysis. Features: introduces the fundamental terms and concepts in the field; discusses algorithms for single-species gene finding, and approaches to pairwise and multiple sequence alignments, then describes how the strengths in both areas can be combined to improve the accuracy of gene finding; explores the gene features most commonly captured by a computational gene model, and explains the basics of parameter training; illustrates how to implement a comparative gene finder; examines NGS techniques and how to build a genome annotation pipeline.
