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Main description:
Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In Bioinformatics, leading researchers in the field provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Volume I: Data, Sequence Analysis and Evolution examines a selection of methods involving the generation and organization of data, including sequence data, RNA and protein structures, microarray expression data and functional annotations, methods for discovering the functional components of genomes, whether they be genes, alternative splice sites, non-coding RNAs or regulatory motifs, and several of the most interesting methods in phylogenetics and evolution.
Feature:
Encompasses topics from across the diverse field of bioinformatics through its broad scope approach
Over 80 authors from around the globe contribute to the two volumes, including many leading experts in their respective subjects
An inter-disciplinary collaboration involving biologists, biochemists, physicists, mathematicians, statisticians and computer scientists
Contains simplified descriptions, requiring a minimum of background knowledge, amenable to students and beginners in bioinformatics
References a wide variety of software tools and scripts, available online
Back cover:
Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In Bioinformatics, leading researchers in the field provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Volume I: Data, Sequence Analysis and Evolution examines a selection of methods involving the generation and organization of data, including sequence data, RNA and protein structures, microarray expression data and functional annotations, methods for discovering the functional components of genomes, whether they be genes, alternative splice sites, non-coding RNAs or regulatory motifs, and several of the most interesting methods in phylogenetics and evolution. As a volume of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.
Comprehensive and cutting-edge, Bioinformatics: Volume I: Data, Sequence Analysis and Evolution is an ideal reference for all scientists involved with the ever-growing array of data in the expanding field of life science.
Contents:
Table of Contents
Bioinformatics: Volume I: Data, Sequence Analysis and Evolution
Section I: Data and Databases
Chapter 1. Managing Sequence Data
Ilene Karsch Mizrachi
Chapter 2. RNA Structure Determination by NMR
Lincoln G. Scott and Mirko Hennig
Chapter 3. Protein Structure Determination by X-ray Crystallography
Andrea Ilari and Carmelinda Savino
Chapter 4. Pre-processing of Microarray Data and Analysis of Differential Expression
Steffen Durinck
Chapter 5. Developing an Ontology
Midori A. Harris
Chapter 6. Genome Annotation
Hideya Kawaji and Yoshihide Hayashizaki
Section II: Sequence Analysis
Chapter 7. Multiple Sequence Alignment
Walter Pirovano and Jaap Heringa
Chapter 8. Finding Genes in Genome Sequence
Alice Carolyn McHardy
Chapter 9. Bioinformatics Detection of Alternative Splicing
Namshin Kim and Christopher Lee
Chapter 10. Reconsruction of full-length isoforms from Splice Graphs
Yi Xing and Christopher Lee
Chapter 11. Sequence Segmentation
Jonathan Keith
Chapter 12. Discovering Sequence Motifs
Timothy L. Bailey
Section III: Phylogenetics and Evolution
Chapter 13. Modeling Sequence Evolution
Pietro Lio and Martin Bishop
Chapter 14. Inferring Trees
Simon Whelan
Chapter 15. Detecting the Presence and Location of Selection in Proteins
Tim Massingham
Chapter 16. Phylogenetic Model Evaluation
Lars Sommer Jermiin, Vivek Jayaswal, Faisal Ababneh and John Robinson
Chapter 17. Inferring Ancestral Gene Order
Julian M. Catchen, John S. Conery and John H. Postlethwait
Chapter 18. Genome Rearrangement by the Double Cut and Join Operation
Richard Friedberg, Aaron E. Darling and Sophia Yancopoulos
Chapter 19. Inferring Ancestral Protein Interaction Networks
Jose M. Peregrin-Alvarez
Chapter 20. Computational Tools for the Analysis of Rearrangements in Mammalian Genomes
Guillaume Bourque and Glenn Tesler
Chapter 21. Detecting Lateral Genetic Transfer: a Phylogenetic Approach
Robert G. Beiko and Mark A. Ragan
Chapter 22. Detecting Genetic Recombination
Georg F. Weiller
Chapter 23. Inferring patterns of migration
Paul M.E. Bunje and Thierry Wirth
Chapter 24. Fixed-Parameter Algorithms in Phylogenetics
Jens Gramm, Arfst Nickelsen and Till Tantau
PRODUCT DETAILS
Publisher: Springer (Humana Press)
Publication date: May, 2008
Pages: 562
Weight: 1545g
Availability: Not available (reason unspecified)
Subcategories: Biochemistry, Genetics
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CUSTOMER REVIEWS
From the reviews:
"This precise description of all current molecular biology techniques is an important addition to the field of bioinformatics. The purpose is to provide a ‘detailed description and implantation advice’ about current molecular biology techniques. … the book is written primarily for students and beginning bioinformatics researchers. … The authors have included both an index and an evolution index at the end, which will be very helpful to readers. This is a very good reference for students who are beginning level bioinformatics researchers." (Basabi Rana, Doody’s Review Service, September, 2008)
"Bioinformatics is presented … with a total of 51 chapters. … successfully cover the wide field of bioinformatics, providing many useful methods, the majority of which are accessible to the non-specialist. … will serve as a valuable reference and therefore may be most appropriate as an institutional purchase." (Conrad Nieduszynski, Microbiology Today, February, 2009)
"Volume I comprises 24 chapters that describe topics in sequence analyses, phylogenetics, genome evolution, and gene expression analysis. … Several chapters highlight how to integrate and visualize local analyses … . give relatively in-depth coverage of many concepts that are applied by bioinformatics specialists. … Many of the chapters are example driven, with basic forays into bioinformatics analyses that will educate readers in both the theory and practical matter of running the analyses." (Jason E. Stajich, The Quarterly Review of Biology, Vol. 84, September, 2009)
“The goal of the book is to cover different types of data and their analysis methods for biological discovery, each of its 24 chapters is written by an expert in the field and can be read independently of the others. … describes the most widely used techniques. … easily accessible to a large audience involved in utilizing and developing bioinformatics. … a wonderful book for nonspecialists to enter the field of bioinformatics, but also a comprehensive handbook for specialists, when they need a good reference.” (Hsun-Hsien Chang, ACM Computing Reviews, June, 2009)