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Herausgeber: 
  • Tin Wee Tan
  • Vladimir B Bajic
  • Information Processing and Living Systems 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 2005  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Science / SCIENCE / Biotechnology / SCIENCE / Life Sciences / Biology / SCIENCE / Life Sciences / Microbiology / SCIENCE / Life Sciences / Zoology / General
    ISBN:  9781860945632 
    EAN-Code: 
    9781860945632 
    Verlag:  Imperial College Press 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Series on Advances in Bioinformatics and Computational Biology  
    Dimensionen:  H 236 mm / B 162 mm / D 47 mm 
    Gewicht:  1241 gr 
    Seiten:  800 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Information processing and information flow occur in the course of an organism's development and throughout its lifespan. Organisms do not exist in isolation, but interact with each other constantly within a complex ecosystem. The relationships between organisms, such as those between prey or predator, host and parasite, and between mating partners, are complex and multidimensional. In all cases, there is constant communication and information flow at many levels. This book focuses on information processing by life forms and the use of information technology in understanding them. Readers are first given a comprehensive overview of biocomputing before navigating the complex terrian of natural processing of biological information using physiological and analogous computing models. The remainder of the book deals with "artificial" processing of biological information as a human endeavor in order to derive new knowledge and gain insight into life forms and their functioning. Specific innovative applications and tools for biological discovery are provided as the link and complement to biocomputing. Since "artificial" processing of biological information is complementary to natural processing, a better understanding of the former helps us improve the latter. Consequently, readers are exposed to both domains and, when dealing with biological problems of their interest, will be better equipped to grasp relevant ideas.

      



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