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    Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins (2nd edition) [Repost]

    Posted By: ChrisRedfield
    Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins (2nd edition) [Repost]

    Andreas D. Baxevanis, ‎B. F. Francis Ouellette - Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins (2nd edition)
    Published: 2001-05-04 | ISBN: 0471383902, 0471383910 | PDF | 504 pages | 8 MB


    This new edition of the highly successful Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins provides a sound foundation of basic concepts, with practical discussions and comparisons of both computational tools and databases relevant to biological research.
    Equipping biologists with the modern tools necessary to solve practical problems in sequence data analysis, the Second Edition covers the broad spectrum of topics in bioinformatics, ranging from Internet concepts to predictive algorithms used on sequence, structure, and expression data. With chapters written by experts in the field, this up-to-date reference thoroughly covers vital concepts and is appropriate for both the novice and the experienced practitioner. Written in clear, simple language, the book is accessible to users without an advanced mathematical or computer science background. This new edition includes:
    All new end-of-chapter Web resources, bibliographies, and problem sets
    Accompanying Web site containing the answers to the problems, as well as links to relevant Web resources
    New coverage of comparative genomics, large-scale genome analysis, sequence assembly, and expressed sequence tags
    A glossary of commonly used terms in bioinformatics and genomics
    Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Second 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, positional cloning, clinical research, and computational biology.