[Comp-neuro] Large-Scale and HPC data analysis in bioinformatics, system and synthetic biology - 2nd cfp
abb at cs.stir.ac.uk
Thu Apr 30 15:44:50 CEST 2015
CIBB 2015 — CALL FOR PAPERS –
Special Session on
Large-Scale and HPC data analysis in bioinformatics: intelligent methods for computational, systems and synthetic biology.
CIBB 2015 12th International Meeting on
Computational Intelligence Methods for Bioinformatics and Biostatistics
CNR Research Area, Naples, Italy
10-12 September 2015
cibb2015 at gmail.com
Aims and scope
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 sciences and in application to systems and synthetic biology. The track aims to present latest advancements concerning High Performance Computing solutions required to treat multi-omics Bid Data and to support the various Large-Scale challenges of current computational biology.
Relevant topics within this context include all the field of 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.
Dr. Andrea Bracciali
Dept. of Computing Science and Mathematics,
University of Stirling, UK
Dr. Ivan Merelli
Institute for Biomedical Technologies
Italian National Research Council, Italy
Dr. Mario Guarracino
High Performance Computing and Networking Institute
Italian National Research Council, Italy
Conference papers must be prepared following the guidelines illustrated on the CIBB website, which include the requirement of being between 4 and 6 pages in length and having five sections:
1. Scientific background
2. Material and methods
5. References (no more than 10)
These papers should be submitted in PDF format on the Easy Chair conference system (it is necessary to select this special session in the submission system).
A second submission after the conference, in an extended version, is required to be considered for publication in the Springer’s Lecture Notes in Bioinformatics (LNBI) series (http://www.springer.com/computer/lncs?SGWID=0-164-6-73658-0). Moreover, as it has been the case in previous CIBB conferences, we are planning to publish the best papers of CIBB 2015 in an extended form in a special issue of an international scientific journal, including special session papers.
Paper submission deadline : May 10, 2015
Abstract submission deadline: May 10, 2015
Notification of Acceptance: July 1, 2015 Final papers due: July 30, 2015 (*)
Conference: September 10-12, 2015
(*) for the inclusion in the CIBB15 conference proceeding
ICT COST Action High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)
The organiser of this special sessions are actively involved in the ICT COST Action High-Performance Modelling and Simulation for Big Data Applications (cHiPSet), due to formally start in June. The possibility of a co-located event is being explored.
Italian Flagship initiative Interomics
The special sessions will be supported by the Flagship initiative Interomics (PB05).
About the organisers
Dr. Andrea Bracciali is currently a SICSA lecturer at the Department of Computing Science and Mathematics of the University of Stirling (from August 2010). Before that, he worked as a postdoctoral researcher at CNR, Italy (2009-2010) in the Applied Formal Methods group, and at the Computer Science Department of the University of Pisa (2003-2008), where he received his Ph.D. (2003) in Computer Science. His main research interests are centred in the formal description of interaction in computing with application for Systems Biology and Crowd Dynamics. His main research interests regard the formal description of interaction in computational systems and theories and tools for reasoning about such descriptions. This stream of research spawns form Theoretical Computer Science, Concurrency Theory and, more recently, Systems Biology.
Dr. Ivan Merelli is currently research fellow at the Institute for Biomedical Technologies (ITB) of the National Research Council (CNR) in the Bioinformatics Division. He received his Master of Science in Biomedical Engineering from the Politecnico di Milano, with a thesis about molecular surface modelling and analysis. In February 2009 he received a PhD in Computer Science from the university of Milano - Bicocca with a research project about surface matching for macromolecular docking and functional annotation. His research activities concern the development of software for sequence based genomics and for structural proteomics research, with particular interest in protein-protein interactions. He works actively on the implementation of high performance bioinformatics software using cluster infrastructures and grid distributed platforms. He has been involved in the development of databases and computational solutions for projects of Integrative System Biology, gene expression analyses and drug discovery.
Dr. Mario Guarracino is researcher at High Performance Computing and Networking Institute of the Italian National Research Council. He received a PhD in Mathematics defending a thesis on projection techniques for parallel sparse linear algebra and an Ms in Applied Mathematics. His postdoctoral training from National Research Council focused on low cost high performance architectures for scientific computing. He has been collaborating with Center for Applied Optimization at University of Florida since 2005. He has taught various undergraduate courses in both computer science and mathematics. His research interests include machine learning methods for computational biology and planning and development of high performance computational components for parallel and distributed problem solving environments. He is author of publications in the field of high performance scientific computing, computational biology and machine learning.
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