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    1. Data och IT
    2. Systemvetenskap och AI

    Bioinformatics

    Volume I: Data, Sequence Analysis and Evolution

    AvJonathan M. Keith

    Inbunden, Engelska, 2008

    Del i serien Methods in Molecular Biology

    1 608 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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.

    Produktinformation

    • Utgivningsdatum:2008-05-22
    • Mått:193 x 260 x 40 mm
    • Vikt:1 550 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Methods in Molecular Biology
    • Antal sidor:562
    • Upplaga:2008
    • Förlag:Humana Press Inc.
    • ISBN:9781588297075

    Utforska kategorier

    • Systemvetenskap och AI inom Data och IT
    • Biovetenskap inom Naturvetenskap och teknik
    • Biologi inom Naturvetenskap och teknik

    Recensioner i media

    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)

    Innehållsförteckning

    • 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.
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