Bioinformatics

Author: Andrzej Polanski

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 376

View: 715

This textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computer science tools used to manage the enormous data sets involved. The first part of the book covers mathematical and computational methods, with practical applications presented in the second part. The mathematical presentation avoids unnecessary formalism, while remaining clear and precise. The book closes with a thorough bibliography, reaching from classic research results to very recent findings. This volume is suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on mathematical and computer science background.

Bioinformatics

Sequence and Genome Analysis

Author: David W. Mount

Publisher: CSHL Press

ISBN:

Category: Science

Page: 692

View: 254

As more species' genomes are sequenced, computational analysis of these data has become increasingly important. The second, entirely updated edition of this widely praised textbook provides a comprehensive and critical examination of the computational methods needed for analyzing DNA, RNA, and protein data, as well as genomes. The book has been rewritten to make it more accessible to a wider audience, including advanced undergraduate and graduate students. New features include chapter guides and explanatory information panels and glossary terms. New chapters in this second edition cover statistical analysis of sequence alignments, computer programming for bioinformatics, and data management and mining. Practically oriented problems at the ends of chapters enhance the value of the book as a teaching resource. The book also serves as an essential reference for professionals in molecular biology, pharmaceutical, and genome laboratories.

Bioinformatics

A Concept-Based Introduction

Author: Venkatarajan Mathura

Publisher: Springer Science & Business Media

ISBN:

Category: Science

Page: 190

View: 492

Bioinformatics is an evolving field that is gaining popularity due to genomics, proteomics and other high-throughput biological methods. The function of bioinformatic scientists includes biological data storage, retrieval and in silico analysis of the results from large-scale experiments. This requires a grasp of knowledge mining algorithms, a thorough understanding of biological knowledge base, and the logical relationship of entities that describe a process or the system. Bioinformatics researchers are required to be trained in multidisciplinary fields of biology, mathematics and computer science. Currently the requirements are satisfied by ad hoc researchers who have specific skills in biology or mathematics/computer science. But the learning curve is steep and the time required to communicate using domain specific terms is becoming a major bottle neck in scientific productivity. This workbook provides hands-on experience which has been lacking for qualified bioinformatics researchers.

Bioinformatics

Tools and Applications

Author: David Edwards

Publisher: Springer Science & Business Media

ISBN:

Category: Science

Page: 451

View: 780

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.

Bioinformatics

A Practical Approach

Author: Shui Qing Ye

Publisher: CRC Press

ISBN:

Category: Science

Page: 648

View: 108

An emerging, ever-evolving branch of science, bioinformatics has paved the way for the explosive growth in the distribution of biological information to a variety of biological databases, including the National Center for Biotechnology Information. For growth to continue in this field, biologists must obtain basic computer skills while computer specialists must possess a fundamental understanding of biological problems. Bridging the gap between biology and computer science, Bioinformatics: A Practical Approach assimilates current bioinformatics knowledge and tools relevant to the omics age into one cohesive, concise, and self-contained volume. Written by expert contributors from around the world, this practical book presents the most state-of-the-art bioinformatics applications. The first part focuses on genome analysis, common DNA analysis tools, phylogenetics analysis, and SNP and haplotype analysis. After chapters on microarray, SAGE, regulation of gene expression, miRNA, and siRNA, the book presents widely applied programs and tools in proteome analysis, protein sequences, protein functions, and functional annotation of proteins in murine models. The last part introduces the programming languages used in biology, website and database design, and the interchange of data between Microsoft Excel and Access. Keeping complex mathematical deductions and jargon to a minimum, this accessible book offers both the theoretical underpinnings and practical applications of bioinformatics.

Structural Bioinformatics

Author: Jenny Gu

Publisher: John Wiley & Sons

ISBN:

Category: Science

Page: 1064

View: 985

Structural Bioinformatics was the first major effort to showthe application of the principles and basic knowledge of the largerfield of bioinformatics to questions focusing on macromolecularstructure, such as the prediction of protein structure and howproteins carry out cellular functions, and how the application ofbioinformatics to these life science issues can improve healthcareby accelerating drug discovery and development. Designed primarilyas a reference, the first edition nevertheless saw widespread useas a textbook in graduate and undergraduate university coursesdealing with the theories and associated algorithms, resources, andtools used in the analysis, prediction, and theoreticalunderpinnings of DNA, RNA, and proteins. This new edition contains not only thorough updates of theadvances in structural bioinformatics since publication of thefirst edition, but also features eleven new chapters dealing withfrontier areas of high scientific impact, including: sampling andsearch techniques; use of mass spectrometry; genome functionalannotation; and much more. Offering detailed coverage for practitioners while remainingaccessible to the novice, Structural Bioinformatics, SecondEdition is a valuable resource and an excellent textbook for arange of readers in the bioinformatics and advanced biologyfields. Praise for the previous edition: "This book is a gold mine of fundamental and practicalinformation in an area not previously well represented in bookform." —Biochemistry and Molecular Education "... destined to become a classic reference work for workers atall levels in structural bioinformatics...recommended with greatenthusiasm for educators, researchers, and graduatestudents." —BAMBED "...a useful and timely summary of a rapidly expandingfield." —Nature Structural Biology "...a terrific job in this timely creation of a compilation ofarticles that appropriately addresses this issue." —Briefings in Bioinformatics

BIOINFORMATICS: A PRACTICAL GUIDE TO THE ANALYSIS OF GENES AND PROTEINS, 3RD ED

Author: Andreas D. Baxevanis

Publisher:

ISBN:

Category: Bioinformatics

Page: 560

View: 140

Market_Desc: This new edition is aimed at advanced undergraduate and graduate school students taking an introductory bioinformatics courses, as well as professionals in genomics, molecular biology, biochemistry, biophysics, and computational biology. According to a Science review of a previous edition, this book should be in the personal library of any biologist who uses the Internet for the analysis of DNA and protein sequence data and is invaluable to beginners and seasoned researchers alike. Special Features: · Complete, expert coverage of key principles as well as the state-of-the-art in bioinformatics· All new chapters on: Genome Annotation, Genomic Databases, Predictive Methods Using RNA Sequences, Protein Structure Prediction, and Protein-Protein Interactions· Fully redesigned, appealing design with full color throughout and larger trim size· Reorganization of chapters into five main sections following a clear, logical sequence· Inclusion of greatly expanded and more rigorous problem sets· Special boxes highlighting experimental strategies and limitations· More diagrams and flowcharts to reinforce the main text· Enhanced use of real examples· written by the top scientists in the field of bioinformatics, [this book] is the perfect choice for every molecular biology laboratory --Quarterly Review of Biology (2/e)· No background in computer science or mathematics assumed About The Book: This fully revised third edition to an already classic resource provides readers with a practical guide covering the full scope of key concepts in bioinformatics, from databases to predictive and comparative algorithms. With a new full-color, enlarged page design, this edition offers the most readable, up-to-date, and thorough introduction to the field for biologists. All new features include special boxes, enhanced use of real examples, and expanded problem sets with answers provided on the book's dedicated website (www.wiley.com/bioinformatics). A glossary and appendix of sample file formats rounds out the book's reader-friendly, 'hands-on' treatment.The chapters have been reorganized into a more logical flow, with five main sections and a concluding section offering a primer on the use of Perl. Following the editors' introduction and perspective on why bioinformatics is important.

Bioinformatics Methods and Protocols

Author: Stephen Misener

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 500

View: 338

In Bioinformatics: Methods and Protocols, hands-on users and experts survey the key biological software packages, offering useful tips and an overview of current developments. Among the sequence analysis systems reviewed are GCG, Omiga, MacVector, DNASTAR, PepTool, GeneTool, and Staden. Molecular biology software includes Genotator and sequence-similarity searching using FASTA, CLUSTAL multiple sequence alignment, and phylogenic analysis. Web-based resources are examined for primary sequence databases, primary sequence analysis methods, and clinical databases useful in molecular medicine. The book also includes a set of guidelines for designing and teaching an introductory bioinformatics course and numerous illustrative examples to teach the reader how to solve problems. Bioinformatics: Methods and Protocols offers to experienced and novice biologists a broad overview of the computational tools that have reshaped modern biology. It constitutes a gold-standard reference for today's scientists who wish to develop and hone their bioinformatics skills towards the discovery of new biological relationships.

Bioinformatics

A Practical Guide to the Analysis of Genes and Proteins

Author: Andreas D. Baxevanis

Publisher: John Wiley & Sons

ISBN:

Category: Computers

Page: 504

View: 538

"In this book, Andy Baxevanis and Francis Ouellette . . . haveundertaken the difficult task of organizing the knowledge in thisfield in a logical progression and presenting it in a digestibleform. And they have done an excellent job. This fine text will makea major impact on biological research and, in turn, on progress inbiomedicine. We are all in their debt." —Eric Lander from the Foreword Reviews from the First Edition "...provides a broad overview of the basic tools for sequenceanalysis ... For biologists approaching this subject for the firsttime, it will be a very useful handbook to keep on the shelf afterthe first reading, close to the computer." —Nature Structural Biology "...should be in the personal library of any biologist who usesthe Internet for the analysis of DNA and protein sequencedata." —Science "...a wonderful primer designed to navigate the novice throughthe intricacies of in scripto analysis ... The accomplished genesearcher will also find this book a useful addition to theirlibrary ... an excellent reference to the principles ofbioinformatics." —Trends in Biochemical Sciences This new edition of the highly successful Bioinformatics:A Practical Guide to the Analysis of Genes and Proteinsprovides a sound foundation of basic concepts, with practicaldiscussions and comparisons of both computational tools anddatabases relevant to biological research. Equipping biologists with the modern tools necessary to solvepractical problems in sequence data analysis, the Second Editioncovers the broad spectrum of topics in bioinformatics, ranging fromInternet concepts to predictive algorithms used on sequence,structure, and expression data. With chapters written by experts inthe field, this up-to-date reference thoroughly covers vitalconcepts and is appropriate for both the novice and the experiencedpractitioner. Written in clear, simple language, the book isaccessible to users without an advanced mathematical or computerscience background. This new edition includes: All new end-of-chapter Web resources, bibliographies, andproblem sets Accompanying Web site containing the answers to the problems,as well as links to relevant Web resources New coverage of comparative genomics, large-scale genomeanalysis, sequence assembly, and expressed sequence tags A glossary of commonly used terms in bioinformatics andgenomics Bioinformatics: A Practical Guide to the Analysis of Genesand Proteins, Second Edition is essential reading forresearchers, instructors, and students of all levels in molecularbiology and bioinformatics, as well as for investigators involvedin genomics, positional cloning, clinical research, andcomputational biology.

Bioinformatics

The Machine Learning Approach

Author: Pierre Baldi

Publisher: MIT Press

ISBN:

Category: Computers

Page: 452

View: 168

Pierre Baldi and Soren 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 at two types of researchers and students. First are the biologists and biochemists who need to understand new data-driven algorithms, such as neural networks and hidden Markov models, in the context of biological sequences and their molecular structure and function. Second are those with a primary background in physics, mathematics, statistics, or computer science who need to know more about specific applications in molecular biology.