9th International Conference on Practical Applications of Computational Biology and Bioinformatics /
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Meeting name: | International Conference on Practical Applications of Computational Biology & Bioinformatics (9th : 2015 : Salamanca, Spain) |
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Imprint: | Cham : Springer, 2015. ©2015 |
Description: | 1 online resource (xiii, 148 pages) : illustrations. |
Language: | English |
Series: | Advances in intelligent systems and computing, 2194-5357 ; volume 375 Advances in intelligent systems and computing ; volume 375. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11094189 |
Varying Form of Title: | Ninth International Conference on Practical Applications of Computational Biology and Bioinformatics |
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Other authors / contributors: | Overbeek, Ross A., editor. |
ISBN: | 9783319197760 3319197762 3319197754 9783319197753 9783319197753 |
Digital file characteristics: | text file PDF |
Notes: | Includes bibliographical references and index. Online resource; title from PDF title page (SpringerLink, viewed May 28, 2015). |
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. |
Other form: | Printed edition: 9783319197753 |
Standard no.: | 10.1007/978-3-319-19776-0 |
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