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    Полное описание

    Software Tools and Algorithms for Biological Systems : сборник / edited by Hamid R. Arabnia, Quoc-Nam Tran. ; editor.: H. R. Arabnia, Q. Tran. - New York, NY : Springer, 2011. - on-line. - (Advances in Experimental Medicine and Biology ; vol. 696). - URL: http://dx.doi.org/10.1007/978-1-4419-7046-6. - Загл. с экрана. - ISBN 978-1-4419-7046-6. - Текст : электронный.
    Содержание:
    Preface -- Computational Methods for Microarray, Gene Expression Analysis, and Gene Regulatory Networks -- Bioinformatics Databases, Data Mining, and Pattern Discovery Techniques -- Protein Classification & Structure Prediction, and Computational Structural Biology -- Comparative Sequence, Genome Analysis, Genome Assembly, and Genome Scale Computational Methods -- Experimental Medicine and Analysis Tools -- Computational Methods for Filtering, Noise Cancellation, and Signal & Image Processing -- Computer-Based Medical Systems -- Software Packages and Other Computational Topics in Bioinformatics -- Index.

    ГРНТИ УДК
    31.2757
    3458
    6259
    7660
    61

    Рубрики:
    life sciences
    bioinformatics
    systems biology
    life Sciences
    bioinformatics
    computational Biology/Bioinformatics
    systems Biology

    Аннотация: “Software Tools and Algorithms for Biological Systems" is composed of a collection of papers received in response to an announcement that was widely distributed to academicians and practitioners in the broad area of computational biology and software tools. Also, selected authors of accepted papers of BIOCOMP’09 proceedings (International Conference on Bioinformatics and Computational Biology: July 13-16, 2009; Las Vegas, Nevada, USA) were invited to submit the extended versions of their papers for evaluation.
    Доп. точки доступа:
    Arabnia, H.R.\editor.\
    Tran, Q.\editor.\

    http://dx.doi.org/10.1007/978-1-4419-7046-6


    Держатели документа:
    Государственная публичная научно-техническая библиотека России : 123298, г. Москва, ул. 3-я Хорошевская, д. 17 (Шифр в БД-источнике (KATBW): -809835318)

    Шифр в сводном ЭК: 2f52d20c53358d7a9d3e4c7f14316d02



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