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Herausgeber: 
  • Ying Xu
  • Dong Xu
  • Jie Liang
  • Computational Methods for Protein Structure Prediction and Modeling: Volume 1: Basic Characterization 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2006  
    Genre:  Naturwissensch., Medizin, Technik 
     
    biochemistry / bioinformatics / Biological and Medical Physics, Biophysics / Biological physics / Biophysics / C / Information technology# general issues / Life Sciences
    ISBN:  9780387333199 
    EAN-Code: 
    9780387333199 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Biological and Medical Physics, Biomedical Engineering  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  1670 gr 
    Seiten:  396 
    Illustration:  XX, 396 p. 88 illus., schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book provides systematic technical expositions of the computational methods for all major aspects of protein structure analysis, prediction and modeling. The chapters have been designed to address comprehensively the main topics of the field. In addition, chapters will be connected seamlessly through a careful design of the overall structure of the book. Topics have been selected carefully so that the book would be useful to a broad readership, including students, postdoctoral fellows, professional practitioners, as well as bioinformatic experts who want to brush up topics related to their own research areas. The book can be used as a textbook for upper undergraduate-level or beginning graduate-level bioinformatics courses.  To facilitate learning, four appendices describing the prerequisites for reading this book have been included, in (1) biology, (2) computer science, (3) physics and chemistry, and (4) mathematics and statistics. Each chapter in the book is a self-contained review of a specific subject, designed to cover the following material: (1) the problem definition and a historical perspective, (2) mathematical or computational formulation of the problem, (3) computational methods and algorithms, (4) performance results, (5) existing software packages, and (6) the strengths, pitfalls, challenges, and future research directions.
      



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