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HPC @CIBB 2016 : High-Performance Computing and Deep learning methods for Genomic Data Analysis

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Link: http://www.cs.stir.ac.uk/events/cibb2016/specialsessions.html#sp4
 
When Sep 1, 2016 - Sep 3, 2016
Where Stirling, UK
Submission Deadline Jun 12, 2016
Notification Due Jun 22, 2016
Final Version Due Jul 8, 2016
Categories    bioinformatics   high-performance computing   deep learning   HPC
 

Call For Papers

SPECIAL SESSION on "High-Performance Computing and Deep learning methods for Genomic Data Analysis"

To be held at CIBB 2016 - 13th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics

Stirling, UK -- September 1-3, 2016
http://www.cs.stir.ac.uk/events/cibb2016/index.html


AIMS AND SCOPE
The unprecedented wealth of heterogeneous genomic data has generated an enormous demand for tools and methods to analyse and decipher the complexity of such large information. Genomics bursts on the scene with the most growing data, so much that the Genomic research community is now facing many of the scale-out issues that High-Performance Computing has been addressing for years: it requires powerful infrastructures with fast computing and storage capabilities, with substantial challenges regarding data processing, statistical analysis, and data representation. Traditional techniques and tools for data analytic and autonomous learning are no longer suitable - or even unusable - to extract human-interpretable knowledge and information from this significant amount of data. The aim of this special session is to present the latest advancements concerning High-Performance Computing solutions, deep learning and optimization algorithms required to manage the large-scale challenges outlined above - including related BigData aspects - and to foster the integration of researchers interested in
HPC and Computational Biology.

Examples of topics of interest include, but are not limited to:

* HPC applications for Bioinformatics
* HPC architectures for Computational Biology
* Parallel Machine Learning and Deep Learning approaches for
Bioinformatics
* Bioinformatics big data applications and MapReduce implementations
* Next-Generation Sequencing data analysis and interpretation
* Differential gene expression analysis and clustering techniques
* Algorithms for genomic and proteomic
* Genomic data visualisation


SUBMISSION INSTRUCTIONS
High quality original submissions are solicited for presentation at the Special Session. Papers must be between 4 and 6 pages length, written in latex and submitted in PDF format using the provided latex template and instructions available at:
http://www.cs.stir.ac.uk/events/cibb2016/cibb2016-sample-v.1.3.zip.

Papers should be submitted on the EasyChair conference system at the following link:
https://easychair.org/conferences/?conf=cibb2016


PUBLICATION
Accepted papers will be presented at the conference and will be published in proceedings for conference distribution. Authors (at least one) of accepted papers are expected to register and present their papers at the conference.

Extended and revised versions of the papers presented at CIBB 2016 will be invited for a post-conference monograph. This is traditionally published in the Springer series of Lecture Notes in Bioinformatics (LNBI) , (arrangements undergoing). Continuing the tradition of CIBB, we are planning to publish the best papers in one (or more, as appropriate) special issue of an international scientific journal (such as BMC Bioinformatics, in the latest editions).


IMPORTANT DATES
Paper submission deadline: 12th June 2016 (EXTENDED) ((((((((((((((((((((
Acceptance notification: 22nd June 2016
Camera ready due: 8th July 2016
Authors registration due: 8th July 2016


SPECIAL SESSION CO-CHAIRS
Zakaria Benmounah - Constantine 2 University, Constantine, Algeria AND University of Cambridge, UK
Filippo Spiga - University of Cambridge, UK
Fabio Tordini - University of Torino, Italy


CONTACTS:
tordini@di.unito.it
cibb2016@gmail.com

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