for Computer Science - BBC 2017
Zurich, Switzerland, June 12-14, 2017
https://bbc2017.wordpress.com/
AIMS & SCOPE
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Emerging technologies in genomics, transcriptomics, metagenomics and
other life science areas are generating an increasing amount of
complex data and information. Traditionally, bioinformatics has been
focused on the design of methods and technologies facilitating the
acquisition, storage, organization, archiving, analysis and
visualization of biological and medical data. However, recent changes
related to the emerging technologies have made the role of computer
science (both theoretical and applied aspects) much more critical in
all the bioinformatics research directions.
Computational biology, on the other hand, has emphasized mathematical
and computational techniques facilitating the modelling and simulation
of biomedical processes and systems.
In recent years the distinction between these two fields has become
increasingly blurred. In order to tackle the growing complexity
associated with emerging and future life science challenges,
bioinformatics and computational biology researchers and developers
need to explore, develop and apply novel computational concepts,
methods, tools and systems.
Many of these new approaches are likely to involve advanced and
large-scale computing techniques, computational approaches,
technologies and infrastructures such as:
High-performance architectures and systems (e.g. multicore, GPU);
Distributed computing (e.g. grid, cloud, peer-to-peer, Web services,
e-infrastructures);
Computational simulation (mechanistic, stochastic, multi-model);
Algorithms (theoretical and experimental aspects);
Applied bioinformatics (analysis pipelines, tools, applications);
Artificial and computational intelligence (machine learning, agents,
evolutionary techniques, bio-inspired methods).
Together, these topics cover the key bioinformatics and computational
biology techniques and technologies encountered in modern life science
environments:
Advanced computing architectures/infrastructures
Data/information management and integrationData/information analysis
and knowledge discovery
Integration of quantitative/symbolic knowledge into executable
biomedical "theories" or models.
The aim of this workshop is to bring together computer and life
scientists to discuss emerging and future directions in these areas.
IMPORTANT DATES
================
When Jun 12, 2017 - Jun 14, 2017
Where Zürich, Switzerland
Submission Deadline Dec 16, 2016
Notification Due Jan 27, 2017
Final Version Due Mar 3, 2017
This is the 10th edition of this workshop, which was previously held
in Kraków (2008), Baton Rouge (2009), Amsterdam (2010), Singapore
(2011), Omaha (2012), Barcelona (2013), Cairns (2014), Reykjavìk
(2015), and San Diego(2016).
WORKSHOP CO-ORGANIZERS
Giuseppe Agapito, University Magna Græcia of Catanzaro, Italy
Mario Cannataro, University Magna Græcia of Catanzaro, Italy (CHAIR)
Mauro Castelli, NOVA IMS – Universidade Nova de Lisboa, Portugal
Riccardo Dondi, University of Bergamo, Italy
Italo Zoppis, University of Milano-Bicocca, Italy
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