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Introduction to Bioinformatics

Introduction to Bioinformatics

Author: Stephen A. Krawetz

Publisher: Springer Science & Business Media

ISBN: 1588290646

Category: Computers

Page: 776

View: 651

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A comprehensible introduction to the key biological, mathematical, statistical, and computer concepts and tools behind bioinformatics. For physical scientists, the book provides a sound biological framework for understanding the questions a life scientist would ask in the context of currently available computational tools. For life scientists, a complete discussion of the UNIX operating system offers biologists graphical-user-interface comfort in a command-line environment, plus an understanding of the installation and management of UNIX-based software tools. In the applications sections the book provides a common meeting ground for life and physical scientists. Here they will find examples of the management and analysis of DNA sequencing projects, the modeling of DNA as a statistical series of patterns, various methods of pattern discovery, protein visualization, and the use of multiple sequence alignment to infer both functional and structural biological relationships. An accompanying CD contains several full and limited trial-versions of the programs discussed in the text, as well as a complete set of illustrations from each chapter suitable for lectures and presentations.

Introduction to Bioinformatics

Introduction to Bioinformatics

Author: Arthur Lesk

Publisher:

ISBN: 9780198794141

Category:

Page: 433

View: 251

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The ideal text for biology students encountering bioinformatics for the first time, Introduction to Bioinformatics describes how recent technological advances in the field can be used as a powerful set of tools for receiving and analyzing biological data.

Introduction to Bioinformatics

Introduction to Bioinformatics

Author: Teresa K. Attwood

Publisher: Benjamin-Cummings Publishing Company

ISBN: STANFORD:36105110143414

Category: Science

Page: 218

View: 663

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Bioinformatics, the application of computers in biological sciences and especially analysis of biological sequence data, is becoming an essential tool in molecular biology as genome projects generate vast quantities of data. This text provides an introduction to the subject for undergraduates (final year), focussing on two key areas, genojmics and protein sequence analysis. It provides an overview of primary, composite and secondary databases, and gives a brief introduction to the Internet and the World Wide Web.

Introduction to Bioinformatics in Microbiology

Introduction to Bioinformatics in Microbiology

Author: Henrik Christensen

Publisher: Springer

ISBN: 9783319992808

Category: Science

Page: 213

View: 509

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This textbook introduces to the basic concepts of bioinformatics and enhances students’ skills in using software and tools relevant for investigations in microbiology. The most relevant methods to analyze data are shown and readers are introduced on how to draw valid conclusions based on the results obtained. Software and servers which are free to use on the internet are presented and more advanced stand-alone programs are suggested as a second option. Exercises and training quizzes are provided at the end of each chapter to facilitate learning. The book targets Ph. D. students and advanced undergraduates in microbiology, biotechnology, and (veterinary) medicine with little to basic knowledge in bioinformatics.

Introduction to Bioinformatics

Introduction to Bioinformatics

Author: Anna Tramontano

Publisher: CRC Press

ISBN: 1584885696

Category: Science

Page: 196

View: 234

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Guiding readers from the elucidation and analysis of a genomic sequence to the prediction of a protein structure and the identification of the molecular function, Introduction to Bioinformatics describes the rationale and limitations of the bioinformatics methods and tools that can help solve biological problems. Requiring only a limited mathematical and statistical background, the book shows how to efficiently apply these approaches to biological data and evaluate the resulting information. The author, an expert bioinformatics researcher, first addresses the ways of storing and retrieving the enormous amount of biological data produced every day and the methods of decrypting the information encoded by a genome. She then covers the tools that can detect and exploit the evolutionary and functional relationships among biological elements. Subsequent chapters illustrate how to predict the three-dimensional structure of a protein. The book concludes with a discussion of the future of bioinformatics. Even though the future will undoubtedly offer new tools for tackling problems, most of the fundamental aspects of bioinformatics will not change. This resource provides the essential information to understand bioinformatics methods, ultimately facilitating in the solution of biological problems.

Introduction to Bioinformatics

Introduction to Bioinformatics

Author: Arthur Lesk

Publisher: Oxford University Press

ISBN: 9780199651566

Category: Science

Page: 394

View: 736

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Lesk provides an accessible and thorough introduction to a subject which is becoming a fundamental part of biological science today. The text generates an understanding of the biological background of bioinformatics.

An Introduction to Bioinformatics Algorithms

An Introduction to Bioinformatics Algorithms

Author: Neil C. Jones

Publisher: MIT Press

ISBN: 9780262101066

Category: Computers

Page: 455

View: 669

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An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics. This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical techniques, emphasizing the ideas underlying algorithms rather than offering a collection of apparently unrelated problems. The book introduces biological and algorithmic ideas together, linking issues in computer science to biology and thus capturing the interest of students in both subjects. It demonstrates that relatively few design techniques can be used to solve a large number of practical problems in biology, and presents this material intuitively. An Introduction to Bioinformatics Algorithms is one of the first books on bioinformatics that can be used by students at an undergraduate level. It includes a dual table of contents, organized by algorithmic idea and biological idea; discussions of biologically relevant problems, including a detailed problem formulation and one or more solutions for each; and brief biographical sketches of leading figures in the field. These interesting vignettes offer students a glimpse of the inspirations and motivations for real work in bioinformatics, making the concepts presented in the text more concrete and the techniques more approachable.PowerPoint presentations, practical bioinformatics problems, sample code, diagrams, demonstrations, and other materials can be found at the Author's website.

Bioinformatics

Bioinformatics

Author: David Edwards

Publisher: Springer Science & Business Media

ISBN: 9780387927381

Category: Science

Page: 451

View: 557

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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.

Genomics and Bioinformatics

Genomics and Bioinformatics

Author: Tore Samuelsson

Publisher: Cambridge University Press

ISBN: 9781107008564

Category: Computers

Page: 357

View: 906

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A hands-on introduction to Unix, Perl and other bioinformatics tools using relevant and interesting molecular biology problems.

Evolutionary Computation in Bioinformatics

Evolutionary Computation in Bioinformatics

Author: Gary B. Fogel

Publisher: Morgan Kaufmann

ISBN: 1558607978

Category: Computers

Page: 432

View: 129

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This book offers a definitive resource that bridges biology and evolutionary computation. The authors have written an introduction to biology and bioinformatics for computer scientists, plus an introduction to evolutionary computation for biologists and for computer scientists unfamiliar with these techniques.

Unsupervised Feature Extraction Applied to Bioinformatics

Unsupervised Feature Extraction Applied to Bioinformatics

Author: Y-h. Taguchi

Publisher: Springer Nature

ISBN: 9783030224561

Category: Technology & Engineering

Page: 321

View: 854

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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.

Integrative Cluster Analysis in Bioinformatics

Integrative Cluster Analysis in Bioinformatics

Author: Basel Abu-Jamous

Publisher: John Wiley & Sons

ISBN: 9781118906538

Category: Technology & Engineering

Page: 451

View: 153

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Clustering techniques are increasingly being put to use in the analysis of high-throughput biological datasets. Novel computational techniques to analyse high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. This book details the complete pathway of cluster analysis, from the basics of molecular biology to the generation of biological knowledge. The book also presents the latest clustering methods and clustering validation, thereby offering the reader a comprehensive review of clustering analysis in bioinformatics from the fundamentals through to state-of-the-art techniques and applications. Key Features: Offers a contemporary review of clustering methods and applications in the field of bioinformatics, with particular emphasis on gene expression analysis Provides an excellent introduction to molecular biology with computer scientists and information engineering researchers in mind, laying out the basic biological knowledge behind the application of clustering analysis techniques in bioinformatics Explains the structure and properties of many types of high-throughput datasets commonly found in biological studies Discusses how clustering methods and their possible successors would be used to enhance the pace of biological discoveries in the future Includes a companion website hosting a selected collection of codes and links to publicly available datasets