bioinformatics books

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Structural Bioinformatics

publisher: Wiley-Blackwell, published: 2009-03-16
ASIN: 0470181052
EAN: 9780470181058
sales rank: 517413
Structural Bioinformatics was the first major effort to show the application of the principles and basic knowledge of the larger field of bioinformatics to questions focusing on macromolecular structure, such as the prediction of protein structure and how proteins carry out cellular functions, and how the application of bioinformatics to these life science issues can improve healthcare by accelerating drug discovery and development. Designed primarily as a reference, the first edition nevertheless saw widespread use as a textbook in graduate and undergraduate university courses dealing with the theories and associated algorithms, resources, and tools used in the analysis, prediction, and theoretical underpinnings of DNA, RNA, and proteins.
This new edition contains not only thorough updates of the advances in structural bioinformatics since publication of the first edition, but also features eleven new chapters dealing with frontier areas of high scientific impact, including: sampling and search techniques; use of mass spectrometry; genome functional annotation; and much more.
Offering detailed coverage for practitioners while remaining accessible to the novice, Structural Bioinformatics, Second Edition is a valuable resource and an excellent textbook for a range of readers in the bioinformatics and advanced biology fields.
Praise for the previous edition:
"This book is a gold mine of fundamental and practical information in an area not previously well represented in book form."
—Biochemistry and Molecular Education
"... destined to become a classic reference work for workers at all levels in structural bioinformatics...recommended with great enthusiasm for educators, researchers, and graduate students."
—BAMBED
"...a useful and timely summary of a rapidly expanding field."
—Nature Structural Biology
"...a terrific job in this timely creation of a compilation of articles that appropriately addresses this issue."
—Briefings in Bioinformatics

Statistical Bioinformatics: with R

by: Sunil K. Mathur
publisher: Academic Press, published: 2010-01-26
ASIN: 0123751047
EAN: 9780123751041
sales rank: 267781

Designed for a one or two semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics takes a broad view of the subject - not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications. The inclusion of R code as well as the development of advanced methodology such as Bayesian and Markov models provides students with the important foundation needed to conduct bioinformatics.

Ancillary list: * Online ISM- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123751041 * Companion Website w/ R code and Ebook- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123751041 * Powerpoint slides- http://textbooks.elsevier.com/web/Manuals.aspx?isbn=9780123751041
Integrates biological, statistical and computational concepts
Inclusion of R & SAS code
Provides coverage of complex statistical methods in context with applications in bioinformatics
Exercises and examples aid teaching and learning presented at the right level
Bayesian methods and the modern multiple testing principles in one convenient book

Bioinformatics: Sequence and Genome Analysis, Second Edition

by: David Mount
publisher: Cold Spring Harbor Laboratory Press, published: 2004-07-01
ASIN: 0879697121
EAN: 9780879697129
sales rank: 678984
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. Related Titles from the Publisher Discovering Genomics, Proteomics, and Bioinformatics Emerging Model Organisms Genomes Proteins and Proteomics: A Laboratory Manual A Short Guide to the Human Genome

Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins

publisher: Wiley-Interscience, published: 2004-10-29
ASIN: 0471478784
EAN: 9780471478782
sales rank: 563915
Reviews of the Second Edition
"In this book, Andy Baxevanis and Francis Ouellette . . . have undertaken the difficult task of organizing the knowledge in this field in a logical progression and presenting it in a digestible form. And they have done an excellent job. This fine text will make a major impact on biological research and, in turn, on progress in biomedicine. We are all in their debt."
--Eric Lander, from the Foreword to the Second Edition
"The editors and the chapter authors of this book are to be applauded for providing biologists with lucid and comprehensive descriptions of essential topics in bioinformatics. This book is easy to read, highly informative, and certainly timely. It is most highly recommended for students and for established investigators alike, for anyone who needs to know how to access and use the information derived in and from genomic sequencing projects."
--Trends in Genetics
"It is an excellent general bioinformatics text and reference, perhaps even the best currently available . . . Congratulations to the authors, editors, and publisher for producing a weighty, authoritative, readable, and attractive book."
--Briefings in Bioinformatics
"This book, written by the top scientists in the field of bioinformatics, is the perfect choice for every molecular biology laboratory."
--The Quarterly Review of Biology
This fully revised version of a world-renowned bestseller provides readers with a practical guide covering the full scope of key concepts in bioinformatics, from databases to predictive and comparative algorithms. Using relevant biological examples, the book provides background on and strategies for using many of the most powerful and commonly used computational approaches for biological discovery. This Third Edition reinforces key concepts that have stood the test of time while making the reader aware of new and important developments in this fast-moving field. With a new full-color and enlarged page design, Bioinformatics, Third Edition offers the most readable, up-to-date, and thorough introduction to the field for biologists.
This new edition features:
* New chapters on genomic databases, predictive methods using RNA sequences, sequence polymorphisms, protein structure prediction, intermolecular interactions, and proteomic approaches for protein identification
* Detailed worked examples illustrating the strategic use of the concepts presented in each chapter, along with a collection of expanded,more rigorous problem sets suitable for classroom use
* Special topic boxes and appendices highlighting experimental strategies and advanced concepts
* Annotated reference lists, comprehensive lists of relevant Web resources, and an extensive glossary of commonly used terms in bioinformatics, genomics, and proteomics
Bioinformatics, Third Edition is essential reading for researchers, instructors, and students of all levels in molecular biology and bioinformatics, as well as for investigators involved in genomics, clinical research, proteomics, and computational biology.

Bioinformatics for High Throughput Sequencing

publisher: Springer, published: 2011-10-25
ASIN: 1461407818
EAN: 9781461407812
sales rank: 614579
Next generation sequencing is revolutionizing molecular biology. Owing to this new technology it is now possible to carry out a panoply of experiments at an unprecedented low cost and high speed. These go from sequencing whole genomes, transcriptomes and small non-coding RNAs to description of methylated regions, identification protein – DNA interaction sites and detection of structural variation. The generation of gigabases of sequence information for each of this huge bandwidth of applications in just a few days makes the development of bioinformatics applications for next generation sequencing data analysis as urgent as challenging.

Introduction to Bioinformatics

by: Arthur Lesk
publisher: Oxford University Press, USA, published: 2008-06-02
ASIN: 0199208042
EAN: 9780199208043
sales rank: 162261
An Introduction to Bioinformatics introduces students to the immense power of bioinformatics as a set of scientific tools. The book explains how to access the data archives of genomes and proteins, and the kinds of questions these data and tools can answer, such as how to make inferences from data archives and how to make connections among them to derive useful and interesting predictions.

Blending factual content with many opportunities for active learning, An Introduction to Bioinformatics offers a truly reader-friendly way to get to grips with this subject, making it the ideal resource for anyone new to the field.

Features
- Strikes a careful balance between biology and computer science, introducing those aspects of computer science which underpin the subject without demanding detailed prior knowledge.
- Contains numerous learning features, including exercises, problems, and WebLems.
- Retains the eloquent style and clarity of explanation for which the author is renowned.
- An Online Resource Centre includes figures from the book available to download to facilitate lecture preparation, as well as a variety of interactive resources, including web links, 3D structures, and data sets.
ew to this Edition
- New chapter on biological organization in space and reflects recent advances in genomics, transcriptomics, proteomics, and metabolomics.
- New chapter on scientific publications and archives provides a state of the art inventory on sourcing scientific literature.
- Expanded coverage of structural bioinformatics.
- Enhanced Online Resource Centre, with new guided tours of key websites, and lab assignments to support the in-depth exploration of concepts and themes covered in the book.

R Programming for Bioinformatics (Chapman & Hall/CRC Computer Science & Data Analysis)

by: Robert Gentleman
publisher: Chapman and Hall/CRC, published: 2008-07-14
ASIN: 1420063677
EAN: 9781420063677
sales rank: 434729

Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems.

Drawing on the author’s first-hand experiences as an expert in R, the book begins with coverage on the general properties of the R language, several unique programming aspects of R, and object-oriented programming in R. It presents methods for data input and output as well as database interactions. The author also examines different facets of string handling and manipulations, discusses the interfacing of R with other languages, and describes how to write software packages. He concludes with a discussion on the debugging and profiling of R code.

With numerous examples and exercises, this practical guide focuses on developing R programming skills in order to tackle problems encountered in bioinformatics and computational biology.

Understanding Bioinformatics

by: Marketa Zvelebil
publisher: Garland Science, published: 2007-08-29
ASIN: 0815340249
EAN: 9780815340249
sales rank: 262301

Suitable for advanced undergraduates and postgraduates, Understanding Bioinformatics provides a definitive guide to this vibrant and evolving discipline. The book takes a conceptual approach. It guides the reader from first principles through to an understanding of the computational techniques and the key algorithms. Understanding Bioinformatics is an invaluable companion for students from their first encounter with the subject through to more advanced studies.

The book is divided into seven parts, with the opening part introducing the basics of nucleic acids, proteins and databases. Subsequent parts are divided into 'Applications' and 'Theory' Chapters, allowing readers to focus their attention effectively. In each section, the Applications Chapter provides a fast and straightforward route to understanding the main concepts and 'getting started'. Each of these is then followed by Theory Chapters which give greater detail and present the underlying mathematics. In Part 2, Sequence Alignments, the Applications Chapter shows the reader how to get started on producing and analyzing sequence alignments, and using sequences for database searching, while the next two chapters look closely at the more advanced techniques and the mathematical algorithms involved. Part 3 covers evolutionary processes and shows how bioinformatics can be used to help build phylogenetic trees. Part 4 looks at the characteristics of whole genomes. In Parts 5 and 6 the focus turns to secondary and tertiary structure – predicting structural conformation and analysing structure-function relationships. The last part surveys methods of analyzing data from a set of genes or proteins of an organism and is rounded off with an overview of systems biology.

The writing style of Understanding Bioinformatics is notable for its clarity, while the extensive, full-color artwork has been designed to present the key concepts with simplicity and consistency. Each chapter uses mind-maps and flow diagrams to give an overview of the conceptual links within each topic.

Fundamental Concepts of Bioinformatics

by: Dan E. Krane
publisher: Benjamin Cummings, published: 2002-09-22
ASIN: 0805346333
EAN: 9780805346336
sales rank: 588165

Fundamental Concepts of Bioinformatics is the first book co-authored by a biologist and computer scientist that is specifically designed to make bioinformatics accessible and provide readers for more advanced work. Readers learn what programs are available for analyzing data, how to understand the basic algorithms that underlie these programs, what bioinformatic research is like, and other basic concepts. Information flows easily from one topic to the next, with enough detail to support the major concepts without overwhelming readers. Problems at the end of each chapter use real data to help readers apply what they have learned so they know how to critically evaluate results from both a statistical and biological point of view.

Information Processing and Living Systems (Advances in Bioinformatics and Computational Biology) (Series on Advances in Bioinformatics and Computational Biology)

by: Vladimir B. Bajic
publisher: World Scientific Publishing Company, published: 2005-08-30
ASIN: 1860945635
EAN: 9781860945632
sales rank: 683828
Information processing and information flow occur in the course of an organism's development and throughout its lifespan. Organisms do not exist in isolation, but interact with each other constantly within a complex ecosystem. The relationships between organisms, such as those between prey or predator, host and parasite, and between mating partners, are complex and multidimensional. In all cases, there is constant communication and information flow at many levels.
This book focuses on information processing by life forms and the use of information technology in understanding them. Readers are first given a comprehensive overview of biocomputing before navigating the complex terrain of natural processing of biological information using physiological and analogous computing models. The remainder of the book deals with artificial processing of biological information as a human endeavor in order to derive new knowledge and gain insight into life forms and their functioning. Specific innovative applications and tools for biological discovery are provided as the link and complement to biocomputing.
Since artificial processing of biological information is complementary to natural processing, a better understanding of the former helps us improve the latter. Consequently, readers are exposed to both domains and, when dealing with biological problems of their interest, will be better equipped to grasp relevant ideas.
Contents: A Multi-Disciplinary Survey of Biocomputing: Molecular and Cellular Levels; A Multi-Disciplinary Survey of Biocomputing: Systems and Evolutionary Levels, and Technological Applications; Models for Complex Eukaryotic Regulatory DNA Sequences; An Algorithm for Ab Initio DNA Motif Detection; Detecting Molecular Evidence of Positive Darwinian Selection; Molecular Phylogenetic Analysis: Understanding Genome Evolution; Constructing Biological Networks of Protein Protein Interactions; Computational Modelling of Gene Regulatory Networks; Overview of Text-Mining in Life Sciences; Integrated Prognostic Profiles: Combining Clinical and Gene Expression Information through Evolving Connectionist Approach; Databases on Gene Regulation; On the Search of Better Validation and Statistical Methods in Microarray Data Analysis; Information Extraction from Dynamic Biological Web Sources; Computer Aided Design of Signaling Networks; Analysis of DNA Sequences: Hunting for Genes; Biological Databases and Web Services: Metrics for Quality.

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	Structural Bioinformatics publisher: Wiley-Blackwell, published: 2009-03-16 ASIN: 0470181052 EAN: 9780470181058 sales rank: 517413 Structural Bioinformatics was the first major effort to show the application of the principles and basic knowledge of the larger field of bioinformatics to questions focusing on macromolecular structure, such as the prediction of protein structure and how proteins carry out cellular functions, and how the application of bioinformatics to these life science issues can improve healthcare by accelerating drug discovery and development. Designed primarily as a reference, the first edition nevertheless saw widespread use as a textbook in graduate and undergraduate university courses dealing with the theories and associated algorithms, resources, and tools used in the analysis, prediction, and theoretical underpinnings of DNA, RNA, and proteins. This new edition contains not only thorough updates of the advances in structural bioinformatics since publication of the first edition, but also features eleven new chapters dealing with frontier areas of high scientific impact, including: sampling and search techniques; use of mass spectrometry; genome functional annotation; and much more. Offering detailed coverage for practitioners while remaining accessible to the novice, Structural Bioinformatics, Second Edition is a valuable resource and an excellent textbook for a range of readers in the bioinformatics and advanced biology fields. Praise for the previous edition: "This book is a gold mine of fundamental and practical information in an area not previously well represented in book form." *—Biochemistry and Molecular Education* "... destined to become a classic reference work for workers at all levels in structural bioinformatics...recommended with great enthusiasm for educators, researchers, and graduate students." *—BAMBED* "...a useful and timely summary of a rapidly expanding field." *—Nature Structural Biology* "...a terrific job in this timely creation of a compilation of articles that appropriately addresses this issue." *—Briefings in Bioinformatics*
	Statistical Bioinformatics: with R by: Sunil K. Mathur publisher: Academic Press, published: 2010-01-26 ASIN: 0123751047 EAN: 9780123751041 sales rank: 267781 Designed for a one or two semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics takes a broad view of the subject - not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications. The inclusion of R code as well as the development of advanced methodology such as Bayesian and Markov models provides students with the important foundation needed to conduct bioinformatics. Ancillary list: * Online ISM- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123751041 * Companion Website w/ R code and Ebook- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123751041 * Powerpoint slides- http://textbooks.elsevier.com/web/Manuals.aspx?isbn=9780123751041 Integrates biological, statistical and computational concepts Inclusion of R & SAS code Provides coverage of complex statistical methods in context with applications in bioinformatics Exercises and examples aid teaching and learning presented at the right level Bayesian methods and the modern multiple testing principles in one convenient book
	Bioinformatics: Sequence and Genome Analysis, Second Edition by: David Mount publisher: Cold Spring Harbor Laboratory Press, published: 2004-07-01 ASIN: 0879697121 EAN: 9780879697129 sales rank: 678984 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. Related Titles from the Publisher Discovering Genomics, Proteomics, and Bioinformatics Emerging Model Organisms Genomes Proteins and Proteomics: A Laboratory Manual A Short Guide to the Human Genome
	Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins publisher: Wiley-Interscience, published: 2004-10-29 ASIN: 0471478784 EAN: 9780471478782 sales rank: 563915 Reviews of the Second Edition "In this book, Andy Baxevanis and Francis Ouellette . . . have undertaken the difficult task of organizing the knowledge in this field in a logical progression and presenting it in a digestible form. And they have done an excellent job. This fine text will make a major impact on biological research and, in turn, on progress in biomedicine. We are all in their debt." --Eric Lander, from the Foreword to the Second Edition "The editors and the chapter authors of this book are to be applauded for providing biologists with lucid and comprehensive descriptions of essential topics in bioinformatics. This book is easy to read, highly informative, and certainly timely. It is most highly recommended for students and for established investigators alike, for anyone who needs to know how to access and use the information derived in and from genomic sequencing projects." --Trends in Genetics "It is an excellent general bioinformatics text and reference, perhaps even the best currently available . . . Congratulations to the authors, editors, and publisher for producing a weighty, authoritative, readable, and attractive book." --Briefings in Bioinformatics "This book, written by the top scientists in the field of bioinformatics, is the perfect choice for every molecular biology laboratory." --The Quarterly Review of Biology This fully revised version of a world-renowned bestseller provides readers with a practical guide covering the full scope of key concepts in bioinformatics, from databases to predictive and comparative algorithms. Using relevant biological examples, the book provides background on and strategies for using many of the most powerful and commonly used computational approaches for biological discovery. This Third Edition reinforces key concepts that have stood the test of time while making the reader aware of new and important developments in this fast-moving field. With a new full-color and enlarged page design, Bioinformatics, Third Edition offers the most readable, up-to-date, and thorough introduction to the field for biologists. This new edition features: * New chapters on genomic databases, predictive methods using RNA sequences, sequence polymorphisms, protein structure prediction, intermolecular interactions, and proteomic approaches for protein identification * Detailed worked examples illustrating the strategic use of the concepts presented in each chapter, along with a collection of expanded,more rigorous problem sets suitable for classroom use * Special topic boxes and appendices highlighting experimental strategies and advanced concepts * Annotated reference lists, comprehensive lists of relevant Web resources, and an extensive glossary of commonly used terms in bioinformatics, genomics, and proteomics Bioinformatics, Third Edition is essential reading for researchers, instructors, and students of all levels in molecular biology and bioinformatics, as well as for investigators involved in genomics, clinical research, proteomics, and computational biology.
	Bioinformatics for High Throughput Sequencing publisher: Springer, published: 2011-10-25 ASIN: 1461407818 EAN: 9781461407812 sales rank: 614579 Next generation sequencing is revolutionizing molecular biology. Owing to this new technology it is now possible to carry out a panoply of experiments at an unprecedented low cost and high speed. These go from sequencing whole genomes, transcriptomes and small non-coding RNAs to description of methylated regions, identification protein – DNA interaction sites and detection of structural variation. The generation of gigabases of sequence information for each of this huge bandwidth of applications in just a few days makes the development of bioinformatics applications for next generation sequencing data analysis as urgent as challenging.
	Introduction to Bioinformatics by: Arthur Lesk publisher: Oxford University Press, USA, published: 2008-06-02 ASIN: 0199208042 EAN: 9780199208043 sales rank: 162261 An Introduction to Bioinformatics introduces students to the immense power of bioinformatics as a set of scientific tools. The book explains how to access the data archives of genomes and proteins, and the kinds of questions these data and tools can answer, such as how to make inferences from data archives and how to make connections among them to derive useful and interesting predictions. Blending factual content with many opportunities for active learning, An Introduction to Bioinformatics offers a truly reader-friendly way to get to grips with this subject, making it the ideal resource for anyone new to the field. Features - Strikes a careful balance between biology and computer science, introducing those aspects of computer science which underpin the subject without demanding detailed prior knowledge. - Contains numerous learning features, including exercises, problems, and WebLems. - Retains the eloquent style and clarity of explanation for which the author is renowned. - An Online Resource Centre includes figures from the book available to download to facilitate lecture preparation, as well as a variety of interactive resources, including web links, 3D structures, and data sets. ew to this Edition - New chapter on biological organization in space and reflects recent advances in genomics, transcriptomics, proteomics, and metabolomics. - New chapter on scientific publications and archives provides a state of the art inventory on sourcing scientific literature. - Expanded coverage of structural bioinformatics. - Enhanced Online Resource Centre, with new guided tours of key websites, and lab assignments to support the in-depth exploration of concepts and themes covered in the book.
	R Programming for Bioinformatics (Chapman & Hall/CRC Computer Science & Data Analysis) by: Robert Gentleman publisher: Chapman and Hall/CRC, published: 2008-07-14 ASIN: 1420063677 EAN: 9781420063677 sales rank: 434729 Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems. Drawing on the author’s first-hand experiences as an expert in R, the book begins with coverage on the general properties of the R language, several unique programming aspects of R, and object-oriented programming in R. It presents methods for data input and output as well as database interactions. The author also examines different facets of string handling and manipulations, discusses the interfacing of R with other languages, and describes how to write software packages. He concludes with a discussion on the debugging and profiling of R code. With numerous examples and exercises, this practical guide focuses on developing R programming skills in order to tackle problems encountered in bioinformatics and computational biology.
	Understanding Bioinformatics by: Marketa Zvelebil publisher: Garland Science, published: 2007-08-29 ASIN: 0815340249 EAN: 9780815340249 sales rank: 262301 Suitable for advanced undergraduates and postgraduates, Understanding Bioinformatics provides a definitive guide to this vibrant and evolving discipline. The book takes a conceptual approach. It guides the reader from first principles through to an understanding of the computational techniques and the key algorithms. Understanding Bioinformatics is an invaluable companion for students from their first encounter with the subject through to more advanced studies. The book is divided into seven parts, with the opening part introducing the basics of nucleic acids, proteins and databases. Subsequent parts are divided into 'Applications' and 'Theory' Chapters, allowing readers to focus their attention effectively. In each section, the Applications Chapter provides a fast and straightforward route to understanding the main concepts and 'getting started'. Each of these is then followed by Theory Chapters which give greater detail and present the underlying mathematics. In Part 2, Sequence Alignments, the Applications Chapter shows the reader how to get started on producing and analyzing sequence alignments, and using sequences for database searching, while the next two chapters look closely at the more advanced techniques and the mathematical algorithms involved. Part 3 covers evolutionary processes and shows how bioinformatics can be used to help build phylogenetic trees. Part 4 looks at the characteristics of whole genomes. In Parts 5 and 6 the focus turns to secondary and tertiary structure – predicting structural conformation and analysing structure-function relationships. The last part surveys methods of analyzing data from a set of genes or proteins of an organism and is rounded off with an overview of systems biology. The writing style of Understanding Bioinformatics is notable for its clarity, while the extensive, full-color artwork has been designed to present the key concepts with simplicity and consistency. Each chapter uses mind-maps and flow diagrams to give an overview of the conceptual links within each topic.
	Fundamental Concepts of Bioinformatics by: Dan E. Krane publisher: Benjamin Cummings, published: 2002-09-22 ASIN: 0805346333 EAN: 9780805346336 sales rank: 588165 Fundamental Concepts of Bioinformatics is the first book co-authored by a biologist and computer scientist that is specifically designed to make bioinformatics accessible and provide readers for more advanced work. Readers learn what programs are available for analyzing data, how to understand the basic algorithms that underlie these programs, what bioinformatic research is like, and other basic concepts. Information flows easily from one topic to the next, with enough detail to support the major concepts without overwhelming readers. Problems at the end of each chapter use real data to help readers apply what they have learned so they know how to critically evaluate results from both a statistical and biological point of view.
	Information Processing and Living Systems (Advances in Bioinformatics and Computational Biology) (Series on Advances in Bioinformatics and Computational Biology) by: Vladimir B. Bajic publisher: World Scientific Publishing Company, published: 2005-08-30 ASIN: 1860945635 EAN: 9781860945632 sales rank: 683828 Information processing and information flow occur in the course of an organism's development and throughout its lifespan. Organisms do not exist in isolation, but interact with each other constantly within a complex ecosystem. The relationships between organisms, such as those between prey or predator, host and parasite, and between mating partners, are complex and multidimensional. In all cases, there is constant communication and information flow at many levels. This book focuses on information processing by life forms and the use of information technology in understanding them. Readers are first given a comprehensive overview of biocomputing before navigating the complex terrain of natural processing of biological information using physiological and analogous computing models. The remainder of the book deals with artificial processing of biological information as a human endeavor in order to derive new knowledge and gain insight into life forms and their functioning. Specific innovative applications and tools for biological discovery are provided as the link and complement to biocomputing. Since artificial processing of biological information is complementary to natural processing, a better understanding of the former helps us improve the latter. Consequently, readers are exposed to both domains and, when dealing with biological problems of their interest, will be better equipped to grasp relevant ideas. Contents: A Multi-Disciplinary Survey of Biocomputing: Molecular and Cellular Levels; A Multi-Disciplinary Survey of Biocomputing: Systems and Evolutionary Levels, and Technological Applications; Models for Complex Eukaryotic Regulatory DNA Sequences; An Algorithm for Ab Initio DNA Motif Detection; Detecting Molecular Evidence of Positive Darwinian Selection; Molecular Phylogenetic Analysis: Understanding Genome Evolution; Constructing Biological Networks of Protein Protein Interactions; Computational Modelling of Gene Regulatory Networks; Overview of Text-Mining in Life Sciences; Integrated Prognostic Profiles: Combining Clinical and Gene Expression Information through Evolving Connectionist Approach; Databases on Gene Regulation; On the Search of Better Validation and Statistical Methods in Microarray Data Analysis; Information Extraction from Dynamic Biological Web Sources; Computer Aided Design of Signaling Networks; Analysis of DNA Sequences: Hunting for Genes; Biological Databases and Web Services: Metrics for Quality.