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Author: Phillip Compeau
Publisher:
ISBN: 9780990374633
Category :
Languages : en
Pages :
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Book Description
Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Online Open Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed online course (http://coursera.org/course/bioinformatics), this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of biology and computer science students alike.Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on Rosalind (http://rosalind.info), an online platform for learning bioinformatics.The textbook website (http://bioinformaticsalgorithms.org) directs readers toward additional educational materials, including video lectures and PowerPoint slides.
Author: Phillip Compeau
Publisher:
ISBN: 9780990374633
Category :
Languages : en
Pages :
Get Book Here
Book Description
Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Online Open Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed online course (http://coursera.org/course/bioinformatics), this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of biology and computer science students alike.Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on Rosalind (http://rosalind.info), an online platform for learning bioinformatics.The textbook website (http://bioinformaticsalgorithms.org) directs readers toward additional educational materials, including video lectures and PowerPoint slides.
Author: Thomas Dandekar
Publisher: Springer Nature
ISBN: 3662650363
Category : Science
Languages : en
Pages : 354
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Book Description
This book offers a gripping introduction to the fastest growing field of biology with easy-to-follow examples and a well-prepared appendix for the reader to cook up and experience everything right away. The book gets the reader started with the basics, such as how to easily find sequence information and then analyze it. In further chapters, the authors go into the various analysis options from RNA, DNA and proteins to entire metabolic pathways. Exciting examples from biology are chosen in each chapter to illustrate the analysis. Each chapter concludes with an exercise section that immediately puts what has been learned to use. The subject of this book is a must for any biology student, whether undergraduate or graduate, as bioinformatics is now unearthing amazing insights into the molecular basis of all living things. Computer science students and other students from related sciences will get a good introduction to bioinformatics, as biology and current topics (e.g. AI) are systematically introduced step by step alongside the software. Discover the key to life together with the authors and learn to understand the language of life. This book is a translation of the original German 2nd edition Bioinformatik by Thomas Dandekar and Meik Kunz, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2021. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.
Author: Yongge Huáng
Publisher: Nova Publishers
ISBN: 9781604561869
Category : Computers
Languages : en
Pages : 448
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Book Description
Supercomputers are used for highly calculation-intensive tasks such as problems involving quantum mechanical physics, weather forecasting, climate research (including research into global warming), molecular modelling (computing the structures and properties of chemical compounds, biological macromolecules, polymers, and crystals), physical simulations (such as simulation of aeroplanes in wind tunnels, simulation of the detonation of nuclear weapons, and research into nuclear fusion), cryptanalysis, and the like. Major universities, military agencies and scientific research laboratories are heavy users. This book presents the latest research in the field from around the world.
Author: Yi Ding
Publisher: Springer Nature
ISBN: 3030732274
Category : Medical
Languages : en
Pages : 449
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Book Description
This book is a review and high-yield reference on the clinical molecular diagnostics of malignant neoplasms. It aims to address the practical questions frequently encountered in the molecular oncology practice, as well as key points and pitfalls in the clinical interpretation of molecular tests in guiding precision cancer management. The text uses a Q&A format and case presentations, with emphasis on understanding the molecular test methods, diagnosis, classification, risk assessment and clinical correlation. Starting with an update on the molecular biology of cancer, the book focuses on the topics related to molecular diagnostics and genetics-based precision oncology. Separate chapters are dedicated to discussion of the bioinformatics for the analysis of genetic/genomic data generated from molecular assays, and quality control (QC)/quality assurance (QA) programs in the clinical laboratories; both are critical in producing high quality results for clinical care of cancer patients. These are followed by organ system-based reviews and discussions on the molecular genetic abnormalities and related tests covering diverse types of common to rare malignant neoplasms. This book also provides up-to-date knowledge related to malignant neoplasms, discusses the established as well as evolving requirements for pathologic diagnosis of these malignancies. It also discusses the cost effective utilization of molecular tests in clinical oncology. Written by experts in the field, Practical Oncologic Molecular Pathology serves as a valuable reference for practicing pathologists, fellows, residents and other health care professionals.
Author: Horacio Pérez-Sánchez
Publisher: BoD – Books on Demand
ISBN: 9535108786
Category : Computers
Languages : en
Pages : 340
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Book Description
This book is divided into different research areas relevant in Bioinformatics such as biological networks, next generation sequencing, high performance computing, molecular modeling, structural bioinformatics, molecular modeling and intelligent data analysis. Each book section introduces the basic concepts and then explains its application to problems of great relevance, so both novice and expert readers can benefit from the information and research works presented here.
Author: David J. Hosken
Publisher: John Wiley & Sons
ISBN: 1119313686
Category : Science
Languages : en
Pages : 309
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Book Description
Provides a broad snapshot of recent findings showing how the environment and genes influence behavior The great debate of nature versus nurture rages on — but our understanding of the genetic basis of many behaviors has expanded over the last decade, and there is now very good evidence showing that seemingly complex behaviours can have relatively simple genetic underpinnings, but also that most behaviours have very complicated genetic and environmental architecture. Studies have also clearly shown that behaviors, and other traits, are influenced not just by genes and the environment, but also by the statistical interaction between the two. This book aims to end the nature versus nurture argument by showing that behaviors are nature and nurture and the interaction between the two, and by illustrating how single genes can explain some of the variation in behaviors even when they are seemingly complex. Genes and Behaviour: Beyond Nature-Nurture puts to rest the nature versus nurture dichotomy, providing an up-to-date synopsis of where we are, how far we've come and where we are headed. It considers the effects of a dual-inheritance of genes and culture, and genes and social environment, and highlights how indirect genetic effects can affect the evolution of behavior. It also examines the effect of non-self genes on the behavior of hosts, shines a light on the nature and nurturing of animal minds and invites us to embrace all the complexity nature and nurture generates, and more. Explores exciting new findings about behavior and where we go from here Features contributions by top scholars of the subject Seeks to end the nature versus nurture debate forever Genes and Behaviour: Beyond Nature-Nurture is a unique, and eye-opening read that will appeal to Ph.D. Students, post-doctoral fellows, and researchers in evolution and behavior. Additionally, the book will also be of interest to geneticists, sociologists and philosophers.
Author: David Edwards
Publisher: Springer Science & Business Media
ISBN: 0387927387
Category : Science
Languages : en
Pages : 450
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Book Description
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.
Author: Jens Dörpinghaus
Publisher: Springer Nature
ISBN: 303108411X
Category : Computers
Languages : en
Pages : 593
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Book Description
This book broadly covers the given spectrum of disciplines in Computational Life Sciences, transforming it into a strong helping hand for teachers, students, practitioners and researchers. In Life Sciences, problem-solving and data analysis often depend on biological expertise combined with technical skills in order to generate, manage and efficiently analyse big data. These technical skills can easily be enhanced by good theoretical foundations, developed from well-chosen practical examples and inspiring new strategies. This is the innovative approach of Computational Life Sciences-Data Engineering and Data Mining for Life Sciences: We present basic concepts, advanced topics and emerging technologies, introduce algorithm design and programming principles, address data mining and knowledge discovery as well as applications arising from real projects. Chapters are largely independent and often flanked by illustrative examples and practical advise.
Author: Nikola K. Kasabov
Publisher: Springer
ISBN: 3662577151
Category : Technology & Engineering
Languages : en
Pages : 742
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Book Description
Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
Author: Ngoc Thanh Nguyen
Publisher: Springer
ISBN: 3030147991
Category : Computers
Languages : en
Pages : 784
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Book Description
The two-volume set LNAI 11431 and 11432 constitutes the refereed proceedings of the 11th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2019, held in Yogyakarta, Indonesia, in April 2019. The total of 124 full papers accepted for publication in these proceedings were carefully reviewed and selected from 309 submissions. The papers of the first volume are organized in the following topical sections: knowledge engineering and semantic web; text processing and information retrieval; machine learning and data mining; decision support and control systems; computer vision techniques; and databases and intelligent information systems. The papers of the second volume are divided into these topical sections: collective intelligence for service innovation, technology management, E-learning, and fuzzy intelligent systems; data structures modelling for knowledge representation; advanced data mining techniques and applications; intelligent information systems; intelligent methods and artificial intelligence for biomedical decision support systems; intelligent and contextual systems; intelligent systems and algorithms in information sciences; intelligent supply chains and e-commerce; sensor networks and Internet of Things; analysis of image, video, movements and brain intelligence in life sciences; and computer vision and intelligent systems.
