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Autor(en): 
  • Kun-Mao Chao
  • Louxin Zhang
  • Sequence Comparison: Theory and Methods 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Oktober 2010  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Algorithm Analysis and Problem Complexity / Algorithms / Algorithms & data structures / biochemistry / Biochemistry, general / bioinformatics / C / Calculus & mathematical analysis
    ISBN:  9781849967822 
    EAN-Code: 
    9781849967822 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #07 - Computational Biology  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  361 gr 
    Seiten:  209 
    Illustration:  XX, 209 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Biomolecular sequence comparison is the origin of bioinformatics. This book gives a complete in-depth treatment of the study of sequence comparison.

    A comprehensive introduction is followed by a focus on alignment algorithms and techniques, proceeded by a discussion of the theory. The book examines alignment methods and techniques, features a new issue of sequence comparison - the spaced seed technique, addresses several new flexible strategies for coping with various scoring schemes, and covers the theory on the significance of high-scoring segment pairs between two unalignment sequences. Useful appendices on basic concepts in molecular biology, primer in statistics and software for sequence alignment are included in this reader-friendly text, as well as chapter-ending exercise and research questions

    A state-of-the-art study of sequence alignment and homology search, this is an ideal reference for advanced students studying bioinformatics and will appeal to biologists who wish to know how to use homology search tools.

      
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