Methods For Computational Gene Prediction

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Methods For Computational Gene Prediction

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Author : William H. Majoros
language : en
Publisher:
Release Date : 2007-08-16

Methods For Computational Gene Prediction written by William H. Majoros and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-16 with Computers categories.

A self-contained, rigorous text describing models used to identify genes in genomic DNA sequences.

Bioinformatics Genomics And Proteomics

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Author : Singh Ruchi
language : en
Publisher: Vikas Publishing House
Release Date : 2015

Bioinformatics Genomics And Proteomics written by Singh Ruchi and has been published by Vikas Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Technology & Engineering categories.

This is an innovative textbook for undergraduates as well as postgraduates offering basic knowledge of biology. Its aim is to provide state-of-the-art information about this developing science that has the potential to replace existing biological approaches to study genes and proteins. The chapters are explained in a concise yet detailed manner, including ample cross-references, references to literature and databases, tables and illustrations. The book's sound approach to this intricately complex field makes it an exceptional resource for further exploration into biochemistry, molecular biology, genomics and drug designing fields. Abundant learning features make this book the ideal teaching and learning tool. KEY FEATURES • Illustrations to bolster understanding of complex biochemical relations • Tables for quick access to precise data • Extensive end-of-chapter exercises and references • The most basic details furnished for those who are new to biology • User-friendly, Internet-based bioinformatics tools that allow researchers to extract information from databases and analyze it • Analysis of one software tool discussed in each chapter step-by-step from entering the input till interpretation of the results This is an in-depth textbook written for the biologist who wants a thorough understanding of the popular bioinformatics programs and molecular databases currently in use. It provides a broad, application-oriented overview of this technology.

Bioinformatics

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Author : Andreas D. Baxevanis
language : en
Publisher: John Wiley & Sons
Release Date : 2020-02-12

Bioinformatics written by Andreas D. Baxevanis 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 2020-02-12 with Science categories.

Praise for the third edition of Bioinformatics "This book is a gem to read and use in practice." —Briefings in Bioinformatics "This volume has a distinctive, special value as it offers an unrivalled level of details and unique expert insights from the leading computational biologists, including the very creators of popular bioinformatics tools." —ChemBioChem "A valuable survey of this fascinating field. . . I found it to be the most useful book on bioinformatics that I have seen and recommend it very highly." —American Society for Microbiology News "This should be on the bookshelf of every molecular biologist." —The Quarterly Review of Biolog" The field of bioinformatics is advancing at a remarkable rate. With the development of new analytical techniques that make use of the latest advances in machine learning and data science, today’s biologists are gaining fantastic new insights into the natural world’s most complex systems. These rapidly progressing innovations can, however, be difficult to keep pace with. The expanded fourth edition of the best-selling Bioinformatics aims to remedy this by providing students and professionals alike with a comprehensive survey of the current field. Revised to reflect recent advances in computational biology, it offers practical instruction on the gathering, analysis, and interpretation of data, as well as explanations of the most powerful algorithms presently used for biological discovery. Bioinformatics, Fourth Edition offers the most readable, up-to-date, and thorough introduction to the field for biologists at all levels, covering both key concepts that have stood the test of time and the new and important developments driving this fast-moving discipline forwards. This new edition features: New chapters on metabolomics, population genetics, metagenomics and microbial community analysis, and translational bioinformatics A thorough treatment of statistical methods as applied to biological data Special topic boxes and appendices highlighting experimental strategies and advanced concepts Annotated reference lists, comprehensive lists of relevant web resources, and an extensive glossary of commonly used terms in bioinformatics, genomics, and proteomics Bioinformatics is an indispensable companion for researchers, instructors, and students of all levels in molecular biology and computational biology, as well as investigators involved in genomics, clinical research, proteomics, and related fields.

Genomic Sequence Analysis For Exon Prediction Using Adaptive Signal Processing Algorithms

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Author : Md. Zia Ur Rahman
language : en
Publisher: CRC Press
Release Date : 2021-06-30

Genomic Sequence Analysis For Exon Prediction Using Adaptive Signal Processing Algorithms written by Md. Zia Ur Rahman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-30 with Science categories.

This book addresses the issue of improving the accuracy in exon prediction in DNA sequences using various adaptive techniques based on different performance measures that are crucial in disease diagnosis and therapy. First, the authors present an overview of genomics engineering, structure of DNA sequence and its building blocks, genetic information flow in a cell, gene prediction along with its significance, and various types of gene prediction methods, followed by a review of literature starting with the biological background of genomic sequence analysis. Next, they cover various theoretical considerations of adaptive filtering techniques used for DNA analysis, with an introduction to adaptive filtering, properties of adaptive algorithms, and the need for development of adaptive exon predictors (AEPs) and structure of AEP used for DNA analysis. Then, they extend the approach of least mean squares (LMS) algorithm and its sign-based realizations with normalization factor for DNA analysis. They also present the normalized logarithmic-based realizations of least mean logarithmic squares (LMLS) and least logarithmic absolute difference (LLAD) adaptive algorithms that include normalized LMLS (NLMLS) algorithm, normalized LLAD (NLLAD) algorithm, and their signed variants. This book ends with an overview of the goals achieved and highlights the primary achievements using all proposed techniques. This book is intended to provide rigorous use of adaptive signal processing algorithms for genetic engineering, biomedical engineering, and bioinformatics and is useful for undergraduate and postgraduate students. This will also serve as a practical guide for Ph.D. students and researchers and will provide a number of research directions for further work. Features Presents an overview of genomics engineering, structure of DNA sequence and its building blocks, genetic information flow in a cell, gene prediction along with its significance, and various types of gene prediction methods Covers various theoretical considerations of adaptive filtering techniques used for DNA analysis, introduction to adaptive filtering, properties of adaptive algorithms, need for development of adaptive exon predictors (AEPs), and structure of AEP used for DNA analysis Extends the approach of LMS algorithm and its sign-based realizations with normalization factor for DNA analysis Presents the normalized logarithmic-based realizations of LMLS and LLAD adaptive algorithms that include normalized LMLS (NLMLS) algorithm, normalized LLAD (NLLAD) algorithm, and their signed variants Provides an overview of the goals achieved and highlights the primary achievements using all proposed techniques Dr. Md. Zia Ur Rahman is a professor in the Department of Electronics and Communication Engineering at Koneru Lakshmaiah Educational Foundation (K. L. University), Guntur, India. His current research interests include adaptive signal processing, biomedical signal processing, genetic engineering, medical imaging, array signal processing, medical telemetry, and nanophotonics. Dr. Srinivasareddy Putluri is currently a Software Engineer at Tata Consultancy Services Ltd., Hyderabad. He received his Ph.D. degree (Genomic Signal Processing using Adaptive Signal Processing algorithms) from the Department of Electronics and Communication Engineering at Koneru Lakshmaiah Educational Foundation (K. L. University), Guntur, India. His research interests include genomic signal processing and adaptive signal processing. He has published 15 research papers in various journals and proceedings. He is currently a reviewer of publishers like the IEEE Access and IGI.

Essentials Of Genomics And Bioinformatics

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Author : Christoph W. Sensen
language : en
Publisher: John Wiley & Sons
Release Date : 2008-09-26

Essentials Of Genomics And Bioinformatics written by Christoph W. Sensen 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 2008-09-26 with Science categories.

Provides an overview of the rapidly evolving field of genomics with coverage of nucleic acid technologies, proteomics and bioinformatics. It includes chapters on applications in human health, agriculture and comparative genomics and also contains two chapters on the legal and ethical issues of genomics, a topic that is becoming increasingly important as genomics moves out of the laboratory into practical applications.

Bioinformatics

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Author : David Edwards
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-03

Bioinformatics written by David Edwards 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 2009-09-03 with Science categories.

Bioinformatics is a relatively new field of research. It evolved from the requirement to process, characterize, and apply the information being produced by DNA sequencing technology. The production of DNA sequence data continues to grow exponentially. At the same time, improved bioinformatics such as faster DNA sequence search methods have been combined with increasingly powerful computer systems to process this information. Methods are being developed for the ever more detailed quantification of gene expression, providing an insight into the function of the newly discovered genes, while molecular genetic tools provide a link between these genes and heritable traits. Genetic tests are now available to determine the likelihood of suffering specific ailments and can predict how plant cultivars may respond to the environment. The steps in the translation of the genetic blueprint to the observed phenotype is being increasingly understood through proteome, metabolome and phenome analysis, all underpinned by advances in bioinformatics. Bioinformatics is becoming increasingly central to the study of biology, and a day at a computer can often save a year or more in the laboratory. The volume is intended for graduate-level biology students as well as researchers who wish to gain a better understanding of applied bioinformatics and who wish to use bioinformatics technologies to assist in their research. The volume would also be of value to bioinformatics developers, particularly those from a computing background, who would like to understand the application of computational tools for biological research. Each chapter would include a comprehensive introduction giving an overview of the fundamentals, aimed at introducing graduate students and researchers from diverse backgrounds to the field and bring them up-to-date on the current state of knowledge. To accommodate the broad range of topics in applied bioinformatics, chapters have been grouped into themes: gene and genome analysis, molecular genetic analysis, gene expression analysis, protein and proteome analysis, metabolome analysis, phenome data analysis, literature mining and bioinformatics tool development. Each chapter and theme provides an introduction to the biology behind the data describes the requirements for data processing and details some of the methods applied to the data to enhance biological understanding.

Omics Data Integration Towards Mining Of Phenotype Specific Biomarkers In Cancer Volume Ii

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Author : Liang Cheng
language : en
Publisher: Frontiers Media SA
Release Date : 2022-11-29

Omics Data Integration Towards Mining Of Phenotype Specific Biomarkers In Cancer Volume Ii written by Liang Cheng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-29 with Science categories.

Fungal Genomics

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Author :
language : en
Publisher: Elsevier
Release Date : 2003-08-28

Fungal Genomics written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-28 with Science categories.

The purpose of this volume is to highlight wide-ranging applications of genomics in the area of applied mycology and biotechnology.The volume covers: a brief overview on fungal genomics; meiotic recombination in fungi; molecular genetics of circadian rhythms; genome sequencing; transposable elements; mitochondrial genomes; ribosome biogenesis; pathogenicity genes; genetic improvement of yeasts; microarrays: techniques and applications; fungal germplasm and data bases. Although it is difficult to develop a comprehensive volume on fungal genomics because of the range and complexity of the emerging knowledge, an attempt has been made to bring together pertinent information that will serve the needs of the reader, provide a quick reference to material that might otherwise be difficult to locate, and furnish a starting point for further study.

Genes And Genomics

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Author : Dilip K Arora
language : en
Publisher: Elsevier
Release Date : 2005-10-25

Genes And Genomics written by Dilip K Arora and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-25 with Science categories.

This latest volume addresses the contemporary issues related to recombination in filamentous fungi, EST data mining, fungal intervening sequences, gene silencing, DNA damage response in filamentous fungi, cfp genes of Neurospora, developmental gene sequences, site-specific recombination, heterologous gene expression, hybridization and microarray technology to enumerate biomass. This volume also analyse the current knowledge in the area of hydrophobins and genetic regulation of carotenoid biosynthesis. Over fifty world renowned scientist from both industry and academics provided in-depth information in the field of fungal genes and genomics.

Handbook Of Intelligent Computing And Optimization For Sustainable Development

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Author : Mukhdeep Singh Manshahia
language : en
Publisher: John Wiley & Sons
Release Date : 2022-02-11

Handbook Of Intelligent Computing And Optimization For Sustainable Development written by Mukhdeep Singh Manshahia 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 2022-02-11 with Technology & Engineering categories.

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.