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Bioinformatics: Volume I: Data, Sequence Analysis and Evolution de Jonathan M. Keith

Bioinformatics: Volume I: Data, Sequence Analysis and Evolution: Methods in Molecular Biology, cartea 452

Editat de Jonathan M. Keith
en Limba Engleză Paperback – 26 mai 2011
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.
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Specificații

ISBN-13: 9781617377303
ISBN-10: 1617377309
Pagini: 576
Ilustrații: XII, 562 p. 136 illus., 3 illus. in color.
Dimensiuni: 193 x 260 x 35 mm
Ediția:Softcover reprint of hardcover 1st ed. 2008
Editura: Humana Press Inc.
Colecția Humana
Seria Methods in Molecular Biology

Locul publicării:Totowa, NJ, United States

Public țintă

Research

Cuprins

Data and Databases.- Managing Sequence Data.- RNA Structure Determination by NMR.- Protein Structure Determination by X-Ray Crystallography.- Pre-Processing of Microarray Data and Analysis of Differential Expression.- Developing an Ontology.- Genome Annotation.- Sequence Analysis.- Multiple Sequence Alignment.- Finding Genes in Genome Sequence.- Bioinformatics Detection of Alternative Splicing.- Reconstruction of Full-Length Isoforms from Splice Graphs.- Sequence Segmentation.- Discovering Sequence Motifs.- Phylogenetics and Evolution.- Modeling Sequence Evolution.- Inferring Trees.- Detecting the Presence and Location of Selection in Proteins.- Phylogenetic Model Evaluation.- Inferring Ancestral Gene Order.- Genome Rearrangement by the Double Cut and Join Operation.- Inferring Ancestral Protein Interaction Networks.- Computational Tools for the Analysis of Rearrangements in Mammalian Genomes.- Detecting Lateral Genetic Transfer.- Detecting Genetic Recombination.- Inferring Patterns of Migration.- Fixed-Parameter Algorithms in Phylogenetics.

Recenzii

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 wonderfulbook 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)

Textul de pe ultima copertă

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.

Caracteristici

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 Includes supplementary material: sn.pub/extras