9th International Conference on Practical Applications of Computational Biology and Bioinformatics | ISBN 9783319197753

9th International Conference on Practical Applications of Computational Biology and Bioinformatics

herausgegeben von Ross Overbeek, Miguel P. Rocha, Florentino Fdez-Riverola und Juan F. De Paz
Mitwirkende
Herausgegeben vonRoss Overbeek
Herausgegeben vonMiguel P. Rocha
Herausgegeben vonFlorentino Fdez-Riverola
Herausgegeben vonJuan F. De Paz
Buchcover 9th International Conference on Practical Applications of Computational Biology and Bioinformatics  | EAN 9783319197753 | ISBN 3-319-19775-4 | ISBN 978-3-319-19775-3

9th International Conference on Practical Applications of Computational Biology and Bioinformatics

herausgegeben von Ross Overbeek, Miguel P. Rocha, Florentino Fdez-Riverola und Juan F. De Paz
Mitwirkende
Herausgegeben vonRoss Overbeek
Herausgegeben vonMiguel P. Rocha
Herausgegeben vonFlorentino Fdez-Riverola
Herausgegeben vonJuan F. De Paz

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.