posted by user: abb || 735 views || tracked by 2 users: [display]

LDAB@CIBB 2014 : Large-scale and HPC data analysis in bioinformatics: Intelligent methods for computational, systems and synthetic biology.


When Jun 26, 2014 - Jun 28, 2014
Where Cambridge
Submission Deadline May 5, 2014
Final Version Due May 30, 2014

Call For Papers

Large-scale and HPC data analysis in bioinformatics:
Intelligent methods for computational, systems and synthetic biology.

26-28 June 2014
University of Cambridge, UK

Special Session of CIBB 2014 (later deadline):

Eleventh International Meeting on
Computational Intelligence Methods for Bioinformatics and Biostatistics

*** Submission deadline: 5th May 2014 ***


Biomedical research is currently facing the Big Data wave created by the
huge amount of experiments performed every day in omics sciences.
This new situation demands appropriate IT-infrastructures and scalable
software to analyse data within an acceptable timespan. Massive parallel
clusters, distributed technologies, on-Chip solutions such as GPGPU and
Xeon Phi must be exploited with adequate algorithmic solutions to reach
their full potential.

The aim of this special session is to bring together researchers interested in
cutting-edge methods to address the challenges posed by the huge amount
of data produced in omics science. The idea is to present the latest
advancements concerning High Performance Computing solutions required
to treat multi-omics data and the related Big Data paradigms that are needed
to manage the large-scale challenges of current computational biology.

Examples of relevant areas of interest within this context include - but are not
limited to -

- Next-Generation Sequencing data analysis and interpretation,
- Genomics patterns identification and mining,
- Transcriptomics and Proteomics data integration,
- Systems Biology models simulation and optimization,
- Structural Biology and Molecular Dynamics,
- Synthetic Biology circuits design and simulation.


Papers should be submitted in PDF format on the Easy Chair conference system.
Paper length should be at least 4 pages and should not exceed 6 pages.
Papers are required to be structured according to the following five sections:

• 1. Scientific background
• 2. Material and methods
• 3. Results
• 4. Conclusion
• 5. References (no more than 10)

(Please refer to the latex template on the web page for more accurate instructions).
Please note that only PDF versions of papers can be accepted, as the proceedings
of CIBB will be produced starting from them.

A correct submission requires selecting this special session in the submission system.


Each paper will be peer-reviewed and the resulting scores used to determine invitations
for oral or poster presentations.

Following the conference, an extended version of the presented contributions (12 page
format) will be considered for publication in the Springer’s Lecture Notes in Bioinformatics
(LNBI) series.

Moreover, a selection of the best papers will be considered for pu blication in a special
issue of BMC Bioinformatics dedicated to CIBB2014.


Paper submission: 5th May 2014
Acceptance notification: 10th May 2014
Camera ready due: 30th May 2014
Conference: 26th - 28th June 2014


Andrea Bracciali, University of Stirling, UK
Ivan Merelli, CNR-ITB, Italy


Andrea Bracciali, University of Stirling, UK

Computing Science and Mathematics
School of Natural Sciences
Stirling University
+44 (0)1786 467446

Ivan Merelli, CNR-ITB, Italy

Institute for Biomedical Technologies
Consiglio Nazionale delle Ricerche
+39 02 26422600

Related Resources

MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
VLDB 2016   42nd international conference on very large data bases
UP 2017   Following User Pathways: Cross Platform and Mixed Methods Analysis in Social Media Studies
SIMPDA 2016   6th Int. Symposium on Data-driven Process Discovery and Analysis
IJWMN 2016   International Journal of Wireless & Mobile Networks - Special issue on Analysis of Large Complex Networks
BigGraphs 2016   The 3rd IEEE Big Data Workshop on High Performance Big Graph Data Management, Analysis, and Mining
WORKS 2016   11th Workflows in Support of Large-Scale Science (WORKS) Workshop
LSTS @ KDD 2016   Machine Learning for Large Scale Transportation Systems
RecSysLSSN 2016   Special Issue on Recommender Systems for Large-Scale Social Networks