9th International Conference on Practical Applications of Computational Biology and Bioinformatics [electronic resource] / Ross Overbeek, Miguel P. Rocha, Florentino Fdez-Riverola, Juan F. De Paz, editors.
International Conference on Practical Applications of Computational Biology & Bioinformatics (9th : 2015 : Salamanca, Spain); Overbeek, Ross A., editor.
2015
QH324.2
Available Online

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Title 9th International Conference on Practical Applications of Computational Biology and Bioinformatics [electronic resource] / Ross Overbeek, Miguel P. Rocha, Florentino Fdez-Riverola, Juan F. De Paz, editors.
Meeting Name International Conference on Practical Applications of Computational Biology & Bioinformatics (9th : 2015 : Salamanca, Spain)
ISBN 9783319197760 electronic book
3319197762 electronic book
9783319197753
DOI https://doi.org/10.1007/978-3-319-19776-0
Published Cham : Springer, 2015.
Language English
Description 1 online resource (xiii, 148 pages) : illustrations.
Item Number 10.1007/978-3-319-19776-0 doi
Call Number QH324.2
Dewey Decimal Classification 570.285
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 28, 2015).
Added Author Overbeek, Ross A., editor.
Series Advances in intelligent systems and computing ; volume 375.
Available in Other Form Print version: 9783319197753
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