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Herausgeber: 
  • Ross Overbeek
  • Miguel P. Rocha
  • Juan F. De Paz
  • Florentino Fdez-Riverola
  • 9th International Conference on Practical Applications of Computational Biology and Bioinformatics 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 2015  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Artificial Intelligence / bioinformatics / C / chemistry / Chemoinformatics / Computational and Systems Biology / Computational Biology/Bioinformatics / Computational Chemistry
    ISBN:  9783319197753 
    EAN-Code: 
    9783319197753 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #375 - Advances in Intelligent Systems and Computing  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  2584 gr 
    Seiten:  148 
    Illustration:  XIII, 148 p. 53 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 proceedings presents recent practical applications of Computational Biology and  Bioinformatics. It contains the proceedings of the 9th International Conference on Practical Applications of Computational Biology & Bioinformatics held at University of Salamanca, Spain, at June 3rd-5th, 2015. The International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB) is an annual international meeting dedicated to emerging and challenging applied research in Bioinformatics and Computational Biology. Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next generation sequencing technologies, together with novel and ever evolving distinct types of omics data technologies, have put an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information requiring tools from the computational sciences.

      



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