• Bioinformatics

Concepts in Bioinformatics and Genomics


Author: Alison McCurdy
Publisher: Oxford University Press, USA
ISBN: 9780199936991
Category: Bioinformatics
Page: 560
View: 1777
Concepts in Bioinformatics and Genomics takes a conceptual approach to its subject, balancing biology, mathematics, and programming, while highlighting relevant real-world applications. Topics are developed from the fundamentals up like in an introductory textbook. This is a comprehensive bookfor students enrolled in their first course in bioinformatics. A compelling case study gene, the TP53 gene, a human tumor suppressor with strong clinical applications, runs throughout, engaging students with a continuously relevant example.The textbook thoroughly describes basic principles of probability as they lead up to the concept of expectation value (E-value) and its use in sequence alignment programs. Concepts in Bioinformatics and Genomics also describes, from a mathematical perspective, the development of the Hidden MarkovModel and how it can be used to align sequences in multiple sequence alignment programs. Finally, it introduces students to programming exercises directly related to bioinformatics problems. These thought-provoking exercises stretch the students' imaginations and learning, giving them a deeperunderstanding of software programs, molecular biology, basic probability, and program-coding methodology underpinning the discipline. They will have the tools necessary to compute biological data.

    • Bioinformatics

Concepts in Bioinformatics and Genomics


Author: Jamil Momand,Alison McCurdy
Publisher: Oxford University Press, USA
ISBN: 9780190610548
Category: Bioinformatics
Page: 477
View: 751
Concepts in Bioinformatics and Genomics takes a conceptual approach to its subject, balancing biology, mathematics, and programming while highlighting relevant real-world applications and providing students with the tools to compute and analyze biological data. It presents many thought-provoking exercises to stretch students' imaginations, giving them a deeper understanding of the molecular biology, basic probability, software programs, and program-codingmethodology underpinning this exciting field.

    • Science

Essential Bioinformatics


Author: Jin Xiong
Publisher: Cambridge University Press
ISBN: 113945062X
Category: Science
Page: N.A
View: 6807
Essential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field. Written specifically for a life science audience, the basics of bioinformatics are explained, followed by discussions of the state-of-the-art computational tools available to solve biological research problems. All key areas of bioinformatics are covered including biological databases, sequence alignment, genes and promoter prediction, molecular phylogenetics, structural bioinformatics, genomics and proteomics. The book emphasizes how computational methods work and compares the strengths and weaknesses of different methods. This balanced yet easily accessible text will be invaluable to students who do not have sophisticated computational backgrounds. Technical details of computational algorithms are explained with a minimum use of mathematical formulae; graphical illustrations are used in their place to aid understanding. The effective synthesis of existing literature as well as in-depth and up-to-date coverage of all key topics in bioinformatics make this an ideal textbook for all bioinformatics courses taken by life science students and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.

    • Science

Evolutionary Genomics and Systems Biology


Author: Gustavo Caetano-Anollés
Publisher: John Wiley & Sons
ISBN: 1118210719
Category: Science
Page: 465
View: 1188
A comprehensive, authoritative look at an emergent area in post-genomic science, Evolutionary genomics is an up-and-coming, complex field that attempts to explain the biocomplexity of the living world. Evolutionary Genomics and Systems Biology is the first full-length book to blend established and emerging concepts in bioinformatics, evolution, genomics, and structural biology, with the integrative views of network and systems biology. Three key aspects of evolutionary genomics and systems biology are covered in clear detail: the study of genomic history, i.e., understanding organismal evolution at the genomic level; the study of macromolecular complements, which encompasses the evolution of the protein and RNA machinery that propels life; and the evolutionary and dynamic study of wiring diagrams—macromolecular components in interaction—in the context of genomic complements. The book also features: A solid, comprehensive treatment of phylogenomics, the evolution of genomes, and the evolution of biological networks, within the framework of systems biology A special section on RNA biology—translation, evolution of structure, and micro RNA and regulation of gene expression Chapters on the mapping of genotypes to phenotypes, the role of information in biology, protein architecture and biological function, chromosomal rearrangements, and biological networks and disease Contributions by leading authorities on each topic Evolutionary Genomics and Systems Biology is an ideal book for students and professionals in genomics, bioinformatics, evolution, structural biology, complexity, origins of life, systematic biology, and organismal diversity, as well as those individuals interested in aspects of biological sciences as they interface with chemistry, physics, and computer science and engineering.

    • Bioinformatics

Fundamental Concepts of Bioinformatics


Author: Dan E. Krane,Michael L. Raymer
Publisher: N.A
ISBN: 9780321190222
Category: Bioinformatics
Page: 314
View: 5654
Co-authored by a biologist and computer scientist, this book is designed to make bioinformatics useful to undergraduates and prepare them for more advanced work. It covers problems at the end of each chapter, which use real data to help students apply what they have learned from both a statistical and biological point of view.

    • Bioinformatics

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


Author: Andreas D. Baxevanis,Francis B. F. Ouellette
Publisher: N.A
ISBN: 9788126521920
Category: Bioinformatics
Page: 560
View: 4775
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

Genome Analysis And Bioinformatics: A Practical Approach


Author: T. R. Sharma
Publisher: N.A
ISBN: 9789380026367
Category: Bioinformatics
Page: 222
View: 3151
With the decoding of whole genome sequences of many organisms, new vistas of research have emerged in computational biology. The scientific community has free access to the genome sequence data from the public databases. Many times, it is really hard to make sense of these huge data of DNA and protein sequences. Therefore, bioinformatics tools are used to handle, store and analyze genome sequence data for the benefit of mankind. The book has been written in a simplest possible manner so that every one should understand the basic concepts of genome sequence analysis and bioinformatics. The book is structured in such a way so that readers should first know about how whole genome sequences are generated by using high throughput DNA sequencing technologies and then storing of sequences in biological databases. Second part deals with the basic principals involved in sequence analysis and applications of softwares along with practical exercises. Thirdly, data mining approaches for the discovery of genes and DNA markers have also been discussed. Besides, glossary of important terms and introduction to basic bioinformatics softwares has been included for the benefits of readers. The book will serve as a text book to the B. Tech (Bioinformatics & Biotechnology) students and would also be useful reference book to the postgraduate students and research scientists working in the areas of life sciences, genomics, biotechnology and molecular biology as well as Masters in Computer Applications (MCA) who are interested in bioinformatics.

    • Medical

Bioinformatics for Beginners

Genes, Genomes, Molecular Evolution, Databases and Analytical Tools
Author: Supratim Choudhuri
Publisher: Elsevier
ISBN: 0124105106
Category: Medical
Page: 238
View: 3629
Bioinformatics for Beginners: Genes, Genomes, Molecular Evolution, Databases and Analytical Tools provides a coherent and friendly treatment of bioinformatics for any student or scientist within biology who has not routinely performed bioinformatic analysis. The book discusses the relevant principles needed to understand the theoretical underpinnings of bioinformatic analysis and demonstrates, with examples, targeted analysis using freely available web-based software and publicly available databases. Eschewing non-essential information, the work focuses on principles and hands-on analysis, also pointing to further study options. Avoids non-essential coverage, yet fully describes the field for beginners Explains the molecular basis of evolution to place bioinformatic analysis in biological context Provides useful links to the vast resource of publicly available bioinformatic databases and analysis tools Contains over 100 figures that aid in concept discovery and illustration

    • Medical

Introduction to Genomics


Author: Arthur Lesk
Publisher: Oxford University Press
ISBN: 0199564353
Category: Medical
Page: 397
View: 611
Introduction to Genomics is a fascinating insight into what can be revealed from the study of genomes: how organisms differ or match; how different organisms evolved; how the genome is constructed and how it operates; and what our understanding of genome structure and function means in terms of our future health and wellbeing.

    • Computers

Bioinformatics Data Skills

Reproducible and Robust Research with Open Source Tools
Author: Vince Buffalo
Publisher: "O'Reilly Media, Inc."
ISBN: 1449367518
Category: Computers
Page: 538
View: 4932
Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, you’ll learn how to use freely available open source tools to extract meaning from large complex biological data sets. At no other point in human history has our ability to understand life’s complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, you’re ready to get started. Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Process bioinformatics data with powerful Unix pipelines and data tools Learn how to use exploratory data analysis techniques in the R language Use efficient methods to work with genomic range data and range operations Work with common genomics data file formats like FASTA, FASTQ, SAM, and BAM Manage your bioinformatics project with the Git version control system Tackle tedious data processing tasks with with Bash scripts and Makefiles

    • Science

Introduction to Bioinformatics


Author: Arthur Lesk
Publisher: Oxford University Press
ISBN: 0199651566
Category: Science
Page: 371
View: 9402
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.

    • Science

Discovering Genomics, Proteomics, and Bioinformatics


Author: A. Malcolm Campbell,Laurie J. Heyer
Publisher: Benjamin-Cummings Publishing Company
ISBN: 9780805382198
Category: Science
Page: 447
View: 2227
KEY BENEFIT: Discovering Genomics is the first genomics text that combines web activities and case studies with a problem-solving approach to teach upper-level undergraduates and first-year graduate students the fundamentals of genomic analysis. More of a workbook than a traditional text, Discovering Genomics, Second Edition allows students to work with real genomic data in solving problems and provides the user with an active learning experience. KEY TOPICS: Genomic Medicine Case Study: What's wrong with my child? Genome Sequence Acquisition and Analysis, Comparative Genomics in Evolution and Medicine, Genome Variations, Genomic Medicine Case Study: Why Can't I Just Take a Pill to Lose Weight? Basic Research with DNA Microarrays, Applied Research with DNA Microarrays, Proteomics, Genomic Medicine Case Study: Why Can't We Cure More Diseases? Genomic Circuits in Single Genes, Integrated Genomic Circuits, Modeling Whole-Genome Circuits. MARKET: For all readers interested in genomics.

    • Science

Computing for Comparative Microbial Genomics

Bioinformatics for Microbiologists
Author: David Wayne Ussery,Trudy M. Wassenaar,Stefano Borini
Publisher: Springer Science & Business Media
ISBN: 1848002548
Category: Science
Page: 270
View: 876
Overview and Goals This book describes how to visualize and compare bacterial genomes. Sequencing technologies are becoming so inexpensive that soon going for a cup of coffee will be more expensive than sequencing a bacterial genome. Thus, there is a very real and pressing need for high-throughput computational methods to compare hundreds and thousands of bacterial genomes. It is a long road from molecular biology to systems biology, and in a sense this text can be thought of as a path bridging these ? elds. The goal of this book is to p- vide a coherent set of tools and a methodological framework for starting with raw DNA sequences and producing fully annotated genome sequences, and then using these to build up and test models about groups of interacting organisms within an environment or ecological niche. Organization and Features The text is divided into four main parts: Introduction, Comparative Genomics, Transcriptomics and Proteomics, and ? nally Microbial Communities. The ? rst ? ve chapters are introductions of various sorts. Each of these chapters represents an introduction to a speci? c scienti? c ? eld, to bring all readers up to the same basic level before proceeding on to the methods of comparing genomes. First, a brief overview of molecular biology and of the concept of sequences as biological inf- mation are given.

    • Computers

Bioinformatics

The Machine Learning Approach
Author: Pierre Baldi,Søren Brunak,Professor Pierre Baldi,Francis Bach
Publisher: MIT Press
ISBN: 9780262025065
Category: Computers
Page: 452
View: 4588
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.

    • Computers

Computational Genome Analysis

An Introduction
Author: Richard C. Deonier,Simon Tavaré,Michael Waterman
Publisher: Springer Science & Business Media
ISBN: 9780387987859
Category: Computers
Page: 535
View: 4342
This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features a free download of the R software statistics package and the text provides great crossover material that is interesting and accessible to students in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce concepts and present key results from the primary literature. Exercises are given at the end of chapters.

    • Science

Bioinformatics for Biologists


Author: Pavel Pevzner,Ron Shamir
Publisher: Cambridge University Press
ISBN: 1139501615
Category: Science
Page: N.A
View: 1074
The computational education of biologists is changing to prepare students for facing the complex datasets of today's life science research. In this concise textbook, the authors' fresh pedagogical approaches lead biology students from first principles towards computational thinking. A team of renowned bioinformaticians take innovative routes to introduce computational ideas in the context of real biological problems. Intuitive explanations promote deep understanding, using little mathematical formalism. Self-contained chapters show how computational procedures are developed and applied to central topics in bioinformatics and genomics, such as the genetic basis of disease, genome evolution or the tree of life concept. Using bioinformatic resources requires a basic understanding of what bioinformatics is and what it can do. Rather than just presenting tools, the authors - each a leading scientist - engage the students' problem-solving skills, preparing them to meet the computational challenges of their life science careers.

    • Medical

Statistics for Bioinformatics

Methods for Multiple Sequence Alignment
Author: Julie Thompson
Publisher: Elsevier
ISBN: 0081019610
Category: Medical
Page: 146
View: 3719
Statistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field. With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments are crucial for genome annotation, as well as the subsequent structural, functional, and evolutionary studies of genes and gene products. Consequently, there has been renewed interest in the development of novel multiple sequence alignment algorithms and more efficient programs. Explains the dynamics that animate health systems Explores tracks to build sustainable and equal architecture of health systems Examines the advantages and disadvantages of the different approaches to care integration and the management of health information

    • Science

Bioinformatics

Genomics and Post-Genomics
Author: Frédéric Dardel,François Képès
Publisher: John Wiley & Sons
ISBN: 9780470020029
Category: Science
Page: 252
View: 6602
This book is an excellent introductory text describing the use of bioinformatics to analyze genomic and post-genomic data. It has been translated from the original popular French edition, which was based on a course taught at the well-respected École Polytechnique in Palaiseau. This edition has been fully revised and updated by the authors. After a brief introduction to gene structure and sequence determination, it describes the techniques used to identify genes, their protein-coding sequences and regulatory regions. The book discusses the methodology of comparative genomics, using information from different organisms to deduce information about unknown sequences. There is a comprehensive chapter on structure prediction, covering both RNA and protein. Finally, the book describes the complex networks of RNA and protein that exist within the cell and their interactions, ending with a discussion of the simulation approaches that can be used to model these networks. Praise from the reviews: “In context of the new developments the genomic era has brought, Bioinformatics: Genomics and Post-Genomics becomes a fundamental and indispensable resource for undergraduate and early graduate students...insightfully authored...will immensely help students...in establishing important foundations while shaping their careers.” NEWSLETTER, BRITISH SOCIETY OF CELL BIOLOGY

    • Computers

Introduction to Computational Genomics

A Case Studies Approach
Author: Nello Cristianini,Matthew W. Hahn
Publisher: Cambridge University Press
ISBN: 1139460153
Category: Computers
Page: N.A
View: 7371
Where did SARS come from? Have we inherited genes from Neanderthals? How do plants use their internal clock? The genomic revolution in biology enables us to answer such questions. But the revolution would have been impossible without the support of powerful computational and statistical methods that enable us to exploit genomic data. Many universities are introducing courses to train the next generation of bioinformaticians: biologists fluent in mathematics and computer science, and data analysts familiar with biology. This readable and entertaining book, based on successful taught courses, provides a roadmap to navigate entry to this field. It guides the reader through key achievements of bioinformatics, using a hands-on approach. Statistical sequence analysis, sequence alignment, hidden Markov models, gene and motif finding and more, are introduced in a rigorous yet accessible way. A companion website provides the reader with Matlab-related software tools for reproducing the steps demonstrated in the book.