معــــــــــــــــــــــــــا نرســـــــــــــــــــــــــــــم عالمنــــــــــــــــــــــــــا

اهلا وسهلا بك زائرنا الكريم يسعدنا تسجيلك في اسرتنا او دخولك اذا كنت عضوا
في منتدانا المتواضع`·.¸¸.·´´¯`··._.· (معــــــــــــــــــــــــــــــــا ) `·.¸¸.·´´¯`··._.·`


انضم إلى المنتدى ، فالأمر سريع وسهل

معــــــــــــــــــــــــــا نرســـــــــــــــــــــــــــــم عالمنــــــــــــــــــــــــــا

اهلا وسهلا بك زائرنا الكريم يسعدنا تسجيلك في اسرتنا او دخولك اذا كنت عضوا
في منتدانا المتواضع`·.¸¸.·´´¯`··._.· (معــــــــــــــــــــــــــــــــا ) `·.¸¸.·´´¯`··._.·`

معــــــــــــــــــــــــــا نرســـــــــــــــــــــــــــــم عالمنــــــــــــــــــــــــــا

هل تريد التفاعل مع هذه المساهمة؟ كل ما عليك هو إنشاء حساب جديد ببضع خطوات أو تسجيل الدخول للمتابعة.

معــــــــــــــــــــــــــا نرســـــــــــــــــــــــــــــم عالمنــــــــــــــــــــــــــا


    Computing for Comparative Microbial Genomics

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    mostafasharshar

    Computing for Comparative Microbial Genomics 262267333


    مصرى

    Computing for Comparative Microbial Genomics 700850549
    ذكر
    عدد المساهمات : 244

    نقاط : 728
    تاريخ التسجيل : 09/11/2009
    المزاج : الحمد لله

    Computing for Comparative Microbial Genomics Empty Computing for Comparative Microbial Genomics

    مُساهمة من طرف mostafasharshar الإثنين نوفمبر 30, 2009 10:58 am

    Computing for Comparative Microbial Genomics: Bioinformatics for Microbiologists (Computational Biology)
    by David W. Ussery, Trudy M. Wassenaar, Stefano Borini

    Computing for Comparative Microbial Genomics 21XFfAAjypL

    Computing for Comparative Microbial Genomics: Bioinformatics for Microbiologists (Computational Biology)
    By David W. Ussery, Trudy M. Wassenaar, Stefano Borini



    Publisher: Springer
    Number Of Pages: 274
    Publication Date: 2008-12-11
    ISBN-10 / ASIN: 1848002548
    ISBN-13 / EAN: 9781848002548
    Binding: Hardcover




    The major difficulty many microbiologists face is simply that of too
    much information. As a result of sequencing technologies becoming so
    economical, there is a very real and pressing need for high-throughput
    computational methods to compare hundreds and thousands of bacterial
    genomes.

    This accessible text/reference provides a coherent set of tools and
    a methodological framework for comparing raw DNA sequences and fully
    annotated genome sequences, then using these to build up and test
    models about groups of interacting organisms within an environment or
    ecological niche. Easy-to-follow, this introductory textbook is built
    around teaching computational / bioinformatics methods for comparison
    of microbial genomes, and includes detailed examples of how to compare
    them at the level of DNA, RNA, and protein, in terms of structural and
    functional analysis.

    Topics and Features:

    鈥?Contains five introductory chapters each representing a specific
    scientific field, to bring all readers up to the same basic level

    鈥?Familiarizes readers with genome sequences, RNA sequences (transcriptomics), proteomics and regulation of gene expression

    鈥?Describes basic methods to compare genomes and visualize the results for easy interpretation

    鈥?Discusses microbial communities, providing a framework for
    analysing and comparing individual genomes or raw DNA derived from
    complete ecosystems

    鈥?Introduces various atlases, building up to the Genome Atlas

    鈥?Offers numerous helpful examples throughout

    鈥?Focuses on the use and interpretation of publicly available Web tools

    鈥?Provides supplemental resources, such as Web links, at http://comparativemicrobial.com

    Developed from a set of lectures for a course in Comparative
    Microbial Genomics taught since 2001, this wide-ranging foundational
    textbook is aimed at advanced undergraduate and graduate students in
    Bioinformatics and Microbiology. The authors are from diverse
    backgrounds complementing the interdisciplinary nature of the topic and
    consequently have developed a common scientific language. Readers will
    find this text an invaluable reference for computational and
    bioinformatics tools.













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