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Practical Bioinformatics For Beginners From Raw Sequence Analysis To Machine Learning Applications
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Book Synopsis Practical Bioinformatics For Beginners: From Raw Sequence Analysis To Machine Learning Applications by : Lloyd Wai Yee Low
Download or read book Practical Bioinformatics For Beginners: From Raw Sequence Analysis To Machine Learning Applications written by Lloyd Wai Yee Low and published by World Scientific. This book was released on 2023-01-17 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Next-Generation Sequencing (NGS) is increasingly common and has applications in various fields such as clinical diagnosis, animal and plant breeding, and conservation of species. This incredible tool has become cost-effective. However, it generates a deluge of sequence data that requires efficient analysis. The highly sought-after skills in computational and statistical analyses include machine learning and, are essential for successful research within a wide range of specializations, such as identifying causes of cancer, vaccine design, new antibiotics, drug development, personalized medicine, and increased crop yields in agriculture.This invaluable book provides step-by-step guides to complex topics that make it easy for readers to perform specific analyses, from raw sequenced data to answer important biological questions using machine learning methods. It is an excellent hands-on material for lecturers who conduct courses in bioinformatics and as reference material for professionals. The chapters are standalone recipes making them suitable for readers who wish to self-learn selected topics. Readers gain the essential skills necessary to work on sequenced data from NGS platforms; hence, making themselves more attractive to employers who need skilled bioinformaticians.
Book Synopsis Practical Bioinformatics for Beginners by : Lloyd Wai Yee Low
Download or read book Practical Bioinformatics for Beginners written by Lloyd Wai Yee Low and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Bioinformatics written by Hamid D. Ismail and published by CRC Press. This book was released on 2023-06-29 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the latest material in the subject, covering next generation sequencing (NGS) applications and meeting the requirements of a complete semester course. This book digs deep into analysis, providing both concept and practice to satisfy the exact need of researchers seeking to understand and use NGS data reprocessing, genome assembly, variant discovery, gene profiling, epigenetics, and metagenomics. The book does not introduce the analysis pipelines in a black box, but with detailed analysis steps to provide readers with the scientific and technical backgrounds required to enable them to conduct analysis with confidence and understanding. The book is primarily designed as a companion for researchers and graduate students using sequencing data analysis but will also serve as a textbook for teachers and students in biology and bioscience.
Book Synopsis Practical Bioinformatics by : Janusz M. Bujnicki
Download or read book Practical Bioinformatics written by Janusz M. Bujnicki and published by Springer. This book was released on 2007-09-12 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents applications of bioinformatics tools that experimental research scientists use in "daily practice." Its interdisciplinary approach combines computational and experimental methods to solve scientific problems. The book begins with reviews of computational methods for protein sequence-structure-function analysis, followed by methods that use experimental data obtained in the laboratory to improve functional predictions.
Download or read book Bioinformatics written by Rob Botwright and published by Rob Botwright. This book was released on 101-01-01 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing the Ultimate Bioinformatics Book Bundle! Dive into the world of bioinformatics with our comprehensive book bundle, featuring four essential volumes that cover everything from foundational concepts to advanced applications. Whether you're a student, researcher, or practitioner in the life sciences, this bundle has something for everyone. Book 1: Bioinformatics Basics Get started with the basics of bioinformatics in this introductory volume. Learn about algorithms, concepts, and principles that form the backbone of bioinformatics research. From sequence analysis to genetic variation, this book lays the groundwork for understanding the fundamental aspects of bioinformatics. Book 2: Coding in Bioinformatics Take your skills to the next level with our coding-focused volume. Explore scripting languages like Python and R, and discover how to apply them to bioinformatics tasks. From data manipulation to machine learning, this book covers a wide range of coding techniques and applications in bioinformatics. Book 3: Exploring Data Science in Bioinformatics Delve into the world of data science and its applications in bioinformatics. Learn about exploratory data analysis, statistical inference, and machine learning techniques tailored specifically for biological data. With practical examples and case studies, this book helps you extract meaningful insights from complex datasets. Book 4: Mastering Biostatistics in Bioinformatics Unlock the power of biostatistics with our advanced methods volume. Explore cutting-edge statistical techniques for analyzing biological data, including survival analysis, meta-analysis, and more. Whether you're conducting experimental studies or analyzing clinical data, this book equips you with the tools you need to draw meaningful conclusions. Why Choose Our Bundle? · Comprehensive Coverage: Covering everything from basic concepts to advanced methods, this bundle provides a complete overview of bioinformatics. · Practical Focus: With hands-on coding exercises and real-world examples, our books emphasize practical skills and applications. · Expert Authors: Authored by experts in the field of bioinformatics, each book offers valuable insights and expertise. · Versatile Learning: Whether you're a beginner or an experienced practitioner, our bundle caters to learners of all levels. Don't miss out on this opportunity to enhance your skills and knowledge in bioinformatics. Order your copy of the Bioinformatics Book Bundle today!
Book Synopsis Bioinformatics, second edition by : Pierre Baldi
Download or read book Bioinformatics, second edition written by Pierre Baldi and published by MIT Press. This book was released on 2001-07-20 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to machine learning approaches and their application to the analysis of biological data. An unprecedented wealth of data is being generated by genome sequencing projects and other experimental efforts to determine the structure and function of biological molecules. The demands and opportunities for interpreting these data are expanding rapidly. Bioinformatics is the development and application of computer methods for management, analysis, interpretation, and prediction, as well as for the design of experiments. Machine learning approaches (e.g., neural networks, hidden Markov models, and belief networks) are ideally suited for areas where there is a lot of data but little theory, which is the situation in molecular biology. The goal in machine learning is to extract useful information from a body of data by building good probabilistic models—and to automate the process as much as possible. In this book Pierre Baldi and Søren Brunak present the key machine learning approaches and apply them to the computational problems encountered in the analysis of biological data. The book is aimed both at biologists and biochemists who need to understand new data-driven algorithms and at those with a primary background in physics, mathematics, statistics, or computer science who need to know more about applications in molecular biology. This new second edition contains expanded coverage of probabilistic graphical models and of the applications of neural networks, as well as a new chapter on microarrays and gene expression. The entire text has been extensively revised.
Book Synopsis Applied Bioinformatics by : Paul M. Selzer
Download or read book Applied Bioinformatics written by Paul M. Selzer and published by Springer. This book was released on 2018-05-02 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to the basic principles of bioinformatics and the practical application and utilization of computational tools, without assuming any prior background in programming or informatics. It provides a coherent overview of the complex field and focuses on the implementation of online tools, genome databases and software that can benefit scientists and students in the life sciences. Training tutorials with practical bioinformatics exercises and solutions facilitate the understanding and application of such tools and interpretation of results. In addition, a glossary explains terminology that is widely used in the field. This straightforward introduction to applied bioinformatics offers an essential resource for students, as well as scientists seeking to understand the basis of sequencing analysis, functional genomics and protein structure predictions.
Book Synopsis Advances in Bioinformatics by : Vijai Singh
Download or read book Advances in Bioinformatics written by Vijai Singh and published by Springer Nature. This book was released on 2021-07-31 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis MacHine-Learning Based Sequence Analysis, Bioinformatics and Nanopore Transduction Detection by : Stephen Winters-Hilt
Download or read book MacHine-Learning Based Sequence Analysis, Bioinformatics and Nanopore Transduction Detection written by Stephen Winters-Hilt and published by Lulu.com. This book was released on 2011-05-01 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is intended to be a simple and accessible book on machine learning methods and their application in computational genomics and nanopore transduction detection. This book has arisen from eight years of teaching one-semester courses on various machine-learning, cheminformatics, and bioinformatics topics. The book begins with a description of ad hoc signal acquisition methods and how to orient on signal processing problems with the standard tools from information theory and signal analysis. A general stochastic sequential analysis (SSA) signal processing architecture is then described that implements Hidden Markov Model (HMM) methods. Methods are then shown for classification and clustering using generalized Support Vector Machines, for use with the SSA Protocol, or independent of that approach. Optimization metaheuristics are used for tuning over algorithmic parameters throughout. Hardware implementations and short code examples of the various methods are also described.
Book Synopsis Artificial Intelligence in Bioinformatics by : Mario Cannataro
Download or read book Artificial Intelligence in Bioinformatics written by Mario Cannataro and published by Elsevier. This book was released on 2022-05-12 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining reviews the main applications of the topic, from omics analysis to deep learning and network mining. The book includes a rigorous introduction on bioinformatics, also reviewing how methods are incorporated in tasks and processes. In addition, it presents methods and theory, including content for emergent fields such as Sentiment Analysis and Network Alignment. Other sections survey how Artificial Intelligence is exploited in bioinformatics applications, including sequence analysis, structure analysis, functional analysis, protein classification, omics analysis, biomarker discovery, integrative bioinformatics, protein interaction analysis, metabolic networks analysis, and much more. Bridges the gap between computer science and bioinformatics, combining an introduction to Artificial Intelligence methods with a systematic review of its applications in the life sciences Brings readers up-to-speed on current trends and methods in a dynamic and growing field Provides academic teachers with a complete resource, covering fundamental concepts as well as applications
Book Synopsis Bioinformatics: A Practical Handbook Of Next Generation Sequencing And Its Applications by : Lloyd Wai Yee Low
Download or read book Bioinformatics: A Practical Handbook Of Next Generation Sequencing And Its Applications written by Lloyd Wai Yee Low and published by #N/A. This book was released on 2017-07-26 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid technological developments have led to increasingly efficient sequencing approaches. Next Generation Sequencing (NGS) is increasingly common and has become cost-effective, generating an explosion of sequenced data that need to be analyzed. The skills required to apply computational analysis to target research on a wide range of applications that include identifying causes of cancer, vaccine design, new antibiotics, drug development, personalized medicine and higher crop yields in agriculture are highly sought after.This invaluable book provides step-by-step guides to complex topics that make it easy for readers to perform essential analyses from raw sequenced data to answering important biological questions. It is an excellent hands-on material for teachers who conduct courses in bioinformatics and as a reference material for professionals. The chapters are written to be standalone recipes making it suitable for readers who wish to self-learn selected topics. Readers will gain skills necessary to work on sequenced data from NGS platforms and hence making themselves more attractive to employers who need skilled bioinformaticians to handle the deluge of data.
Book Synopsis The Practical Bioinformatician by : Limsoon Wong
Download or read book The Practical Bioinformatician written by Limsoon Wong and published by World Scientific. This book was released on 2004 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer scientists have increasingly been enlisted as "bioinformaticians" to assist molecular biologists in their research. This book is a practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both general techniques and specific approaches to a range of selected bioinformatics problems. The book is organized into clusters of chapters on the following topics: - Overview of modern molecular biology and a broad spectrum of techniques from computer science -- data mining, machine learning, mathematical modeling, sequence alignment, data integration, workflow development, etc. - In-depth discussion of computational recognition of functional and regulatory sites in DNA sequences. - Incisive discussion of computational prediction of secondary structure of RNA sequences. - Overview of computational prediction of protein cellular localization, and selected discussions of inference of protein function. - Overview of methods for discovering protein-protein interactions. - Detailed discussion of approaches to gene expression analysis for the diagnosis of diseases, the treatment of diseases, and the understanding of gene functions. - Case studies on analysis of phylogenies, functional annotation of proteins, construction of purposebuilt integrated biological databases, and development of workflows underlying the large-scale-effort gene discovery. - Written in a practical, in-depth tutorial style - Covers a broad range of bioinformatics topics and of techniques used in bioinformatics - Comprehensive overviews of the development of various approaches in a number of selectedtopics - In-depth exposition of a number of important topics - Contributions by prominent researchers: Vladimir Bajic, Ming Li, Kenta Nakai, Limsoon Wong, Cathy Wu, etc. - Extensive, integrated references to background liter
Book Synopsis Bioinformatics by : Dev Bukhsh Singh
Download or read book Bioinformatics written by Dev Bukhsh Singh and published by Academic Press. This book was released on 2021-10-21 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles/approaches easily applicable to diverse research settings. The content encompasses topics such as biological databases, sequence analysis, genome assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. In addition, it discusses computational approaches for vaccine design, systems biology and big data analysis, and machine learning in bioinformatics.It is a valuable source for bioinformaticians, computer biologists, and members of biomedical field who needs to learn bioinformatics approaches to apply to their research and lab activities. Covers basic and more advanced developments of bioinformatics with a diverse and interdisciplinary approach to fulfill the needs of readers from different backgrounds Explains in a practical way how to decode complex biological problems using computational approaches and resources Brings case studies, real-world examples and several protocols to guide the readers with a problem-solving approach
Book Synopsis Practical Bioinformatics by : Michael Agostino
Download or read book Practical Bioinformatics written by Michael Agostino and published by Garland Science. This book was released on 2012-09-26 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Bioinformatics is specifically designed for biology majors, with a heavy emphasis on the steps required to perform bioinformatics analysis to answer biological questions. It is written for courses that have a practical, hands-on element and contains many exercises (for example, database searches, protein analysis, data interpretation) to
Book Synopsis Bioinformatics for Beginners by : Supratim Choudhuri
Download or read book Bioinformatics for Beginners written by Supratim Choudhuri and published by Elsevier. This book was released on 2014-05-09 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics for Beginners: Genes, Genomes, Molecular Evolution, Databases and Analytical Tools provides a coherent and friendly treatment of bioinformatics for any student or scientist within biology who has not routinely performed bioinformatic analysis. The book discusses the relevant principles needed to understand the theoretical underpinnings of bioinformatic analysis and demonstrates, with examples, targeted analysis using freely available web-based software and publicly available databases. Eschewing non-essential information, the work focuses on principles and hands-on analysis, also pointing to further study options. Avoids non-essential coverage, yet fully describes the field for beginners Explains the molecular basis of evolution to place bioinformatic analysis in biological context Provides useful links to the vast resource of publicly available bioinformatic databases and analysis tools Contains over 100 figures that aid in concept discovery and illustration
Book Synopsis Deep Learning in Bioinformatics by : Habib Izadkhah
Download or read book Deep Learning in Bioinformatics written by Habib Izadkhah and published by Academic Press. This book was released on 2022-01-08 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces the topic in an easy-to-understand way, exploring how it can be utilized for addressing important problems in bioinformatics, including drug discovery, de novo molecular design, sequence analysis, protein structure prediction, gene expression regulation, protein classification, biomedical image processing and diagnosis, biomolecule interaction prediction, and in systems biology. The book also presents theoretical and practical successes of deep learning in bioinformatics, pointing out problems and suggesting future research directions. Dr. Izadkhah provides valuable insights and will help researchers use deep learning techniques in their biological and bioinformatics studies. Introduces deep learning in an easy-to-understand way Presents how deep learning can be utilized for addressing some important problems in bioinformatics Presents the state-of-the-art algorithms in deep learning and bioinformatics Introduces deep learning libraries in bioinformatics
Book Synopsis Biological Sequence Analysis by : Richard Durbin
Download or read book Biological Sequence Analysis written by Richard Durbin and published by Cambridge University Press. This book was released on 1998-04-23 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
