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9th International Conference On Practical Applications Of Computational Biology And Bioinformatics 1st Edition Ross Overbeek

  • SKU: BELL-5141758
9th International Conference On Practical Applications Of Computational Biology And Bioinformatics 1st Edition Ross Overbeek
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9th International Conference On Practical Applications Of Computational Biology And Bioinformatics 1st Edition Ross Overbeek instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 5.17 MB
Pages: 148
Author: Ross Overbeek, Miguel P. Rocha, Florentino Fdez-Riverola, Juan F. De Paz (eds.)
ISBN: 9783319197753, 3319197754
Language: English
Year: 2015
Edition: 1

Product desciption

9th International Conference On Practical Applications Of Computational Biology And Bioinformatics 1st Edition Ross Overbeek by Ross Overbeek, Miguel P. Rocha, Florentino Fdez-riverola, Juan F. De Paz (eds.) 9783319197753, 3319197754 instant download after payment.

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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