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Bioinformatics for Evolutionary Biologists, Haubold


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Цена: 9083.00р.
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Автор: Haubold
Название:  Bioinformatics for Evolutionary Biologists
ISBN: 9783031204135
Издательство: Springer
Классификация:

ISBN-10: 3031204131
Обложка/Формат: Hardback
Страницы: 411
Вес: 0.88 кг.
Дата издания: 18.02.2023
Язык: English
Издание: 2nd ed. 2023
Иллюстрации: 20 tables, color; 46 illustrations, color; 109 illustrations, black and white; ix, 411 p. 155 illus., 46 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Life Sciences
Подзаголовок: A problems approach
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This self-contained textbook covers fundamental aspects of sequence analysis with special emphasis on evolutionary biology, including sequence alignment, exact matching, phylogeny reconstruction, and coalescent simulation. It addresses these topics through a series of over 800 computer problems, ranging from elementary to research level, to enable learning by doing. Students solve the problems in the same computational environment used for decades in science – the Unix command line. This is available on all four major operating systems for PCs: Windows, macOS, chromeOS, and Linux. To learn using this powerful system, students analyze sample sequence data by applying generic tools, bioinformatics software, and over 50 programs specifically written for this course and available via GitHub. The solutions for all problems are included, making the book ideal for self-study. Problems are grouped into sections headed by an introduction and a list of new terms. By using practical computing to explore sequence data in an evolutionary context, the book enables readers to tackle their own computational problems.
Дополнительное описание: Part I Problems.- 1 The Unix Command Line.- 1.1 Getting Started.- 1.2 Files, Directories, and Programs.-1.3 Scripts.- 2 Optimal Alignment.- 2.1 Keeping Score.- 2.2 Construction.- 2.3 Application.- 3 Exact Matching.- 3.1 Keyword Trees.- 3.2 Suffix Trees.-



Experimental Design for Biologists, Second Edition

Автор: Glass David J.
Название: Experimental Design for Biologists, Second Edition
ISBN: 1621820416 ISBN-13(EAN): 9781621820413
Издательство: Неизвестно
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Цена: 10346.00 р.
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Описание: The effective design and analysis of experiments in biology are critical to success, yet graduate students in biological and medical sciences typically receive very little formal training in these steps. With feedback from readers of the first edition, colleagues, and students taking the very
popular experimental design courses taught by the author, this second edition of Experimental Design for Biologists retains the engaging writing style while organizing the book around the four elements of experimental design: the framework, the system, the experiment, and the model. The approach has
been tested in the classroom, where the author has taught numerous graduate students, MD/PhD students, and postdoctoral fellows. The goal of every scientist is to discover something new and with the aid of Experimental Design for Biologists, this task is made a little easier.

This handbook explains how to establish the framework for an experimental project, how to set up all of the components of an experimental system, design experiments within that system, determine and use the correct set of controls, and formulate models to test the veracity and resiliency of the
data. This thoroughly updated edition of Experimental Design for Biologists is an essential source of theory and practical guidance for designing a research plan.

Evolutionary Bioinformatics

Автор: Donald R. Forsdyke
Название: Evolutionary Bioinformatics
ISBN: 1489981713 ISBN-13(EAN): 9781489981714
Издательство: Springer
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Цена: 28732.00 р.
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Описание: Where most books on bioinformatics still serve gene-hunting biologists, this revised second edition takes a different approach that eschews tidy `family trees` in favor of `non-genic` areas of bioinformatics, such as exploring genomes as information channels.

Bioinformatics and Drug Discovery

Автор: Richard S. Larson
Название: Bioinformatics and Drug Discovery
ISBN: 1493959298 ISBN-13(EAN): 9781493959297
Издательство: Springer
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Цена: 20263.00 р.
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Описание: The 2nd edition of this Methods in Molecular Biology (TM) book covers new techniques in target identification, genomic analysis, cheminformatics, protein analysis and network or pathway analysis. Includes detailed advice on getting optimal laboratory results.

Bioinformatics for Evolutionary Biologists: A Problems Approach

Автор: Haubold Bernhard, Bцrsch-Haubold Angelika
Название: Bioinformatics for Evolutionary Biologists: A Problems Approach
ISBN: 3319884247 ISBN-13(EAN): 9783319884240
Издательство: Springer
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Цена: 6567.00 р.
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Описание: This self-contained textbook covers fundamental aspects of sequence analysis in evolutionary biology, including sequence alignment, phylogeny reconstruction, and coalescent simulation.

Chemogenomics and Chemical Genetics: A User`s Introduction for Biologists, Chemists and Informaticians

Автор: Marechal Eric, Roy Sylvaine, Lafanechиre Laurence
Название: Chemogenomics and Chemical Genetics: A User`s Introduction for Biologists, Chemists and Informaticians
ISBN: 3662519917 ISBN-13(EAN): 9783662519912
Издательство: Springer
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Цена: 13974.00 р.
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Описание: High-throughput and high-content screening allow the identification of bioactive compounds in collections of molecules (chemical libraries), being effective on biological targets defined at various organisational scales, from proteins to cells to complete organisms.

A Guide to Applied Machine Learning for Biologists

Автор: Badar
Название: A Guide to Applied Machine Learning for Biologists
ISBN: 3031222059 ISBN-13(EAN): 9783031222054
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of modern computer science and mathematics and emphasizes the real-world applications of these subjects. The chapters give an overview of computer systems and programming languages to establish a basic understanding of the important concepts in computer systems. Readers are introduced to machine learning and artificial intelligence in the field of bioinformatics, connecting these applications to systems biology, biological data analysis and predictions, and healthcare diagnosis and treatment. This book offers a necessary foundation for more advanced computer-based technologies used in biology, employing case studies, real-world issues, and various examples to guide the reader from the basic prerequisites to machine learning and its applications.

Evolutionary Bioinformatics

Автор: Forsdyke Donald R.
Название: Evolutionary Bioinformatics
ISBN: 3319804162 ISBN-13(EAN): 9783319804163
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Now in its third edition and supplemented with more online material, this book aims to make the "new" information-based (rather than gene-based) bioinformatics intelligible both to the "bio" people and the "info" people. Books on bioinformatics have traditionally served gene-hunters, and biologists who wish to construct family trees showing tidy lines of descent. While dealing extensively with the exciting topics of gene discovery and database-searching, such books have hardly considered genomes as information channels through which multiple forms and levels of information have passed through the generations. This “new bioinformatics” contrasts with the "old" gene-based bioinformatics that so preoccupies previous texts. Forms of information that we are familiar with (mental, textual) are related to forms with which we are less familiar (hereditary). The book extends a line of evolutionary thought that leads from the nineteenth century (Darwin, Butler, Romanes, Bateson), through the twentieth (Goldschmidt, White), and into the twenty first (the final works of the late Stephen Jay Gould). Long an area of controversy, diverging views may now be reconciled.

Evolutionary bioinformatics /

Автор: Forsdyke, Donald R.
Название: Evolutionary bioinformatics /
ISBN: 3319287532 ISBN-13(EAN): 9783319287539
Издательство: Springer
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Цена: 26552.00 р.
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Описание: Now in its third edition and supplemented with more online material, this book aims to make the "new" information-based (rather than gene-based) bioinformatics intelligible both to the "bio" people and the "info" people.

From Protein Structure to Function with Bioinformatics

Автор: J. Rigden, Daniel (Ed.)
Название: From Protein Structure to Function with Bioinformatics
ISBN: 9402414827 ISBN-13(EAN): 9789402414820
Издательство: Springer
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Цена: 41925.00 р.
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Описание: This book is about protein structural bioinformatics and how it can help understand and predict protein function. It covers structure-based methods that can assign and explain protein function based on overall folds, characteristics of protein surfaces, occurrence of small 3D motifs, protein-protein interactions and on dynamic properties. Such methods help extract maximum value from new experimental structures, but can often be applied to protein models. The book also, therefore, provides comprehensive coverage of methods for predicting or inferring protein structure, covering all structural classes from globular proteins and their membrane-resident counterparts to amyloid structures and intrinsically disordered proteins. The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio methods, and includes a chapter, new for the second edition, on structure prediction using evolutionary covariance. Membrane proteins and intrinsically disordered proteins are each assigned chapters, while two new chapters deal with amyloid structures and means to predict modes of protein-protein interaction. The second section includes chapters covering functional diversity within protein folds and means to assign function based on surface properties and recurring motifs. Further chapters cover the key roles of protein dynamics in protein function and use of automated servers for function inference. The book concludes with two chapters covering case studies of structure prediction, based respectively on crystal structures and protein models, providing numerous examples of real-world usage of the methods mentioned previously. This book is targeted at postgraduate students and academic researchers. It is most obviously of interest to protein bioinformaticians and structural biologists, but should also serve as a guide to biologists more broadly by highlighting the insights that structural bioinformatics can provide into proteins of their interest.

Unsupervised Feature Extraction Applied to Bioinformatics

Автор: Y-h. Taguchi
Название: Unsupervised Feature Extraction Applied to Bioinformatics
ISBN: 3030224554 ISBN-13(EAN): 9783030224554
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics.

Allows readers to analyze data sets with small samples and many features;Provides a fast algorithm, based upon linear algebra, to analyze big data;Includes several applications to multi-view data analyses, with a focus on bioinformatics.
Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications

Автор: Srinivasa K. G., Siddesh G. M., Manisekhar S. R.
Название: Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
ISBN: 9811524440 ISBN-13(EAN): 9789811524448
Издательство: Springer
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Цена: 25155.00 р.
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Описание: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.

Bioinformatics Technologies

Автор: Yi-Ping Phoebe Chen
Название: Bioinformatics Technologies
ISBN: 3642422020 ISBN-13(EAN): 9783642422027
Издательство: Springer
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Цена: 18167.00 р.
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