Clustering in Bioinformatics and Drug Discovery, MacCuish, John David
Автор: Ranganathan Shoba Название: Encyclopedia of Bioinformatics and Computational Biology ISBN: 0128114142 ISBN-13(EAN): 9780128114148 Издательство: Elsevier Science Рейтинг: Цена: 265280.00 р. Наличие на складе: Нет в наличии.
Описание:
Bioinformatics and Computational Biology (BCB) combine elements of computer science, information technology, mathematics, statistics, and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. In the era of molecular diagnostics, targeted drug design and Big Data for personalized medicine, computational methods for data analysis are essential for biochemistry, biology, biotechnology, pharmacology, biomedical science and computer science as well mathematics and statistics.
Navigating the maze of confusing and often contradictory jargon combined with a plethora of software tools is often confusing for students and researchers alike. This comprehensive and unique resource provides up-to-date theory and application content to address molecular data analysis requirements, with precise definition of terminology, and lucid explanations by experts.
This Encyclopedia comprises three sections, covering Theory, Topics and Applications, with a special focus on Integrative -omics and Systems Biology. The theoretical methodology underpinning BCB are described in the Theory section, with Topics covering traditional areas such as phylogeny, as well as more recent areas such as translational bioinformatics, cheminformatics and environmental informatics. Finally, Applications provides guidance for commonly asked "how to" questions.
Bioinformatics and Computational Biology are essential for making sense of the molecular data from many modern high-throughput studies of mice and men, as well as key model organisms and pathogens. This MRW spans basics to cutting-edge methodologies, authored by leaders in the field, providing an invaluable resource to students as well as scientists, in academia and research institutes as well as biotechnology, biomedical and pharmaceutical industries.
Interdisciplinary and comprehenisve: this work unifies the myriad of computer science, information technology, mathematics, statistics and biotechnology terms and concepts used by scientists working in bioinformatics and computational biology. Written and reviewed by leading experts in the field, it is a unique and authoritative resource
Educational: this work focuses on the main theoretical and methodological concepts before expanding on specific topics and applications. As such, it is accessible to scientists with different backgrounds and provides an invaluable teaching resource
Enhanced content: interactive images, multimedia tools and cross-linking to further resources and databases allow the interested reader to deepen his understanding of specific topics, and find relevant codes and open resources
Автор: Azuale F. Название: Bioinformatics and Biomarker Discovery ISBN: 047074460X ISBN-13(EAN): 9780470744604 Издательство: Wiley Рейтинг: Цена: 17464.00 р. Наличие на складе: Поставка под заказ.
Описание: Bioinformatics and Biomarker Discovery: ?€?Omic?€? Data Analysis for Personalized Medicine is designed to introduce biologists, clinicians and computational researchers to fundamental data analysis principles, techniques and tools for supporting the di
Автор: Zheng Rong Yang Название: Biological Pattern Discovery with R: Machine Learning Approaches ISBN: 9811240116 ISBN-13(EAN): 9789811240119 Издательство: World Scientific Publishing Рейтинг: Цена: 21384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Jaroslav Ko?a; Radka Svobodov? Va?ekov?; Luk?? Pra Название: Structural bioinformatics tools for drug design ISBN: 3319473875 ISBN-13(EAN): 9783319473871 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: For each step, it also shows corresponding web-based tools in detail and provides practical examples of their use.All tools and databases mentioned in the examples are available free of charge, platform-independent, web-based, user-friendly and do not require a prior IT background to be fully used.
Описание: 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.
Автор: Tan Hugh T. W. Название: Beginners Guide to Bioinformatics for High Throughput Sequencing ISBN: 9813230517 ISBN-13(EAN): 9789813230514 Издательство: World Scientific Publishing Рейтинг: Цена: 12672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Biologists find computing bewildering; yet they are expected to be able to process the voluminous data available from the machines they buy and the datasets that has accumulated in genomic databanks worldwide. It is now increasingly difficult for them to avoid dealing with large volumes of data, that goes beyond just doing manual programming.
Most books in this realm are full of equations and complex code but this book gives a much gentler entry point particularly for biologists, with code snippets users can use to cut and paste, and run on their Linux or MacOSX operating system or cloud instance. It also provides a step by step installation instructions which they can easily follow. Those who are in the field of genome sequencing and already familiar with the procedures of analysis, may also find this book useful in closing some knowledge gaps.
High throughput sequencing requires high throughput and high performance computing. This book provides a gentle entry to high throughput sequencing by dealing with simple skills which the average biologist is increasingly required to master. You will find this book a breeze to read, and some suggestions in this book maybe new to you, something you might want to try out.
Автор: Kulasiri Don, He Yao Название: Computational Systems Biology of Synaptic Plasticity ISBN: 1786343371 ISBN-13(EAN): 9781786343376 Издательство: World Scientific Publishing Рейтинг: Цена: 19166.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book demonstrates the power of mathematical thinking in understanding the biological complexity that exists within the brain. It looks at the latest research on modelling of biochemical pathways within synapses, and provides a clear background for the study of mathematical models related to systems biology. Discussion then focusses on developments in computational models based on networks linked to synaptic plasticity. The models are used to understand memory formation and impairment and they provide a mathematical basis for memory research.
Computational Systems Biology of Synaptic Plasticity is a valuable source of knowledge to postgraduate students and researchers in computational systems biology, and as a reference book for various techniques that are needed in modelling biological processes.
Автор: Rojas Название: Bioinformatics and Biomedical Engineering ISBN: 3319787225 ISBN-13(EAN): 9783319787220 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This two-volume set LNBI 10813 and LNBI 10814 constitutes the proceedings of the 6th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2018, held in Granada, Spain, in April 2018.The 88 regular papers presented were carefully reviewed and selected from 273 submissions.
Автор: Rojas Название: Bioinformatics and Biomedical Engineering ISBN: 3319787586 ISBN-13(EAN): 9783319787589 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This two volume set LNBI 10813 and LNBI 10814 constitutes the proceedings of the 6th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2018, held in Granada, Spain, in April 2018.The 88 regular papers presented were carefully reviewed and selected from 273 submissions.
Автор: Matthew Simon Название: Emergent Computation ISBN: 1441919635 ISBN-13(EAN): 9781441919632 Издательство: Springer Рейтинг: Цена: 22563.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Emergent Computation emphasizes the interrelationship of the different classes of languages studied in mathematical linguistics (regular, context-free, context-sensitive, and type 0) with aspects to the biochemistry of DNA, RNA, and proteins. In addition, aspects of sequential machines such as parity checking and semi-groups are extended to the study of the Biochemistry of DNA, RNA, and proteins. Mention is also made of the relationship of algebraic topology, knot theory, complex fields, quaternions, and universal turing machines and the biochemistry of DNA, RNA, and proteins.
Emergent Computation tries to avoid an emphasis upon mathematical abstraction ("elegance") at the expense of ignoring scientific facts known to Biochemists. Emergent Computation is based entirely upon papers published by scientists in well-known and respected professional journals. These papers are based upon current research. A few examples of what is not ignored to gain "elegance":
- DNA exists as triple and quadruple strands
- Watson-Crick complementary bases have mismatches
- There can be more than four bases in DNA
- There are more than sixty-four codons
- There may be more that twenty amino acids in proteins
While Emergent Computation emphasizes bioinformatics applications, the last chapter studies mathematical linguistics applied to areas such as languages found in birds, insects, medical applications, anthropology, etc.
Emergent Computation tries to avoid unnecessary mathematical abstraction while still being rigorous. The demands made upon the knowledge of chemistry or mathematics is minimized as well. The collected technical references are valuable in itself for additional reading.
Название: Ehealth ISBN: 1787543226 ISBN-13(EAN): 9781787543225 Издательство: Emerald Рейтинг: Цена: 17480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This special volume contributes to the rapidly growing body of eHealth research, presenting a selection of multidisciplinary studies on the role and impacts of technology and the Internet in health communication, healthcare delivery, and patient self-management.
Автор: MacCuish, John David , MacCuish, Norah E. Название: Clustering in Bioinformatics and Drug Discovery ISBN: 1138374237 ISBN-13(EAN): 9781138374232 Издательство: Taylor&Francis Рейтинг: Цена: 10104.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent information from pharmaceutical and biomedical data. It offers a concise overview of common and recent clustering methods used in bioinformatics and drug discovery.
Setting the stage for subsequent material, the first three chapters of the book introduce statistical learning theory, exploratory data analysis, clustering algorithms, different types of data, graph theory, and various clustering forms. In the following chapters on partitional, cluster sampling, and hierarchical algorithms, the book provides readers with enough detail to obtain a basic understanding of cluster analysis for bioinformatics and drug discovery. The remaining chapters cover more advanced methods, such as hybrid and parallel algorithms, as well as details related to specific types of data, including asymmetry, ambiguity, validation measures, and visualization.
This book explores the application of cluster analysis in the areas of bioinformatics and cheminformatics as they relate to drug discovery. Clarifying the use and misuse of clustering methods, it helps readers understand the relative merits of these methods and evaluate results so that useful hypotheses can be developed and tested.
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