A worldwide e-Infrastructure for NMR and structural biology

Workshop on Clusters, Clouds and Grids for Life Sciences

In conjunction with CCGrid 2017 - 17th IEEE/ACM International Symposium
on Cluster, Cloud and Grid Computing, May 14-17, 2017, Madrid, Spain

*Key Dates*

Papers Due: Jan 15, 2017
Author Notifications: Feb 6, 2017
Conference: May 14-17, 2017

Website: http://lsgc.org/ccgrid-life/


Today, biomedicine and bioinformatics rely heavily on large scale
computational resources, as they typically employ data- and compute-
intensive methods. Omics, biomedical imaging and computational
models quickly reach data volumes of terabytes and petabytes,
data analysis may need teraflops or petaflops of computing power.
New challenges arise from complex analysis of distributed
heterogeneous data, for example in translational medicine.

Distributed IT-systems such as Grids, Clouds and recently Big Data
environments are used for to speed-up large experiments and development
time for new algorithms. Distributed systems also allow for better
availability of new computational methods for supporting large-scale
multi-centric collaborations. However, specific challenges in the
employment of such systems for biomedical applications, such as
security, reliability and user-friendliness, often impede wide-range
adoption of prototype solutions.

This workshop aims at bringing together developers of bioinformatics and
biomedical applications and researchers in the field of distributed IT
systems. The goals of the workshop are to exchange and discuss existing
solutions and latest developments in both fields, in particular for
identified gaps and roadblocks. The workshop further intends to
collaboratively explore new approaches to successfully apply distributed
IT-systems in translational research, clinical intervention, and

*Topics of Interest*

Contributions are expected but not restricted to the following topics:

• Detailed application use-cases highlighting achievements and roadblocks
• Exploitation of distributed IT resources for Life Sciences, health care
and research applications, for example medical imaging, disease modeling,
bioinformatics, Public health informatics, drug discovery, clinical trials
• Service and/or algorithm design and implementation applicable to
medical and bioinformatics applications
• Improved energy consumption of bioinformatics applications using clouds
• Modeling and simulation of complex biological processes
• Genomics and Molecular Structure evolution
• Molecular Dynamics
• Ontologies and biomedical text mining
• Biomedical data mining and visualization
• Error handling and fault tolerance
• Distributed and heterogeneous bioinformatics and medical data management
• Big Medical and Omics Data applications and solutions
• Data privacy, security and access control
• Environments for distributed bioinformatics applications
• Programming paradigms and tools for bioinformatics applications
• Scientific gateways and user environments targeting distributed medical
and bioinformatics applications
• Dedicated distributed infrastructures and HPC systems
• Interoperability for exchanging data, algorithms and analysis pipelines
• Success stories and show stoppers

*Workshop Chairs*

• Dagmar Krefting, University of Applied Sciences Berlin, Germany
• Silvia D. Olabarriaga, AMC / University of Amsterdam, Netherlands

*Steering Committee*

• Sandra Gesing, U. Notre Dame, IN, USA
• Tristan Glatard, Concordia University, Montreal, Canada
• Aaron Golden, National University of Ireland, Galway, Ireland
• Daniel de Oliveira, Fluminense Federal University, Niterói, Brazil

*Programme Committee*

preliminary, please visit our website for the updated list

• Ignacio Blanquer, Universidad Politecnica de Valencia, Spain
• Scott Emrich, University of Notre Dame, IN, USA
• Alban Gaignard, CNRS, France
• Sandra Gesing, University of Notre Dame, IN, USA
• Tristan Glatard, Concordia University, Montreal, Canada
• Aaron Golden, National University of Ireland, Galway, Ireland
• Vladimir Korkhov, St. Petersburg State University, Russia
• Dagmar Krefting, University of Applied Sciences Berlin, Germany
• Ivan Merelli, Institute for Biomedical Technologies, Segrate, Italy
• Johan Montagnat, CNRS/I3S, France
• Ralph Mueller-Pfefferkorn, TU Dresden - ZIH, Germany
• Silvia D. Olabarriaga, AMC / University of Amsterdam, Netherlands
• Daniel de Oliveira, Fluminense Federal University, Niterói, Brazil
• Horacio Perez-Sanchez, University of Murcia, Spain
• Estefanía Serrano, Universidad Carlos III of Madrid, Spain

*Submission Guidelines*

Authors are asked to prepare their manuscripts according to the IEEE
format for conference proceedings. Submitted manuscripts should be
structured as technical papers and may not exceed 8 pages (letter-size
8.5'' x 11'') including figures, tables and references.The initial
submission needs to be in pdf format. Submitted papers must represent
original unpublished research that is not currently under review for any
other conference or journal. We strongly encourage authors to consider
open source code and open data wherever possible. Manuscripts must be
submitted to the submission online system EasyChair no later than the
indicated submission deadline.


Please register for an account as author if you do not already have one.
Select the track "Workshop on Clusters, Clouds and Grids for Life
Sciences". If you cannot access the submission website or have
difficulties completing your submission, please contact the workshop
chairs for assistance. All papers will be reviewed by at least 3
independent reviewers from the international program committee. Papers
will be selected based on their originality, their interest for the
research community, the quality of the use-case description, the
description of the technical solution, the impact of the application
and/or technical description and the status of the work. All papers
presented at the main conference and workshops of IEEE/ACM CCGrid 2016
will be submitted to IEEE Xplore for publication and EI indexing.
A special issue of extended workshop contributions is planned.


Cite WeNMR/WestLife

Usage of the WeNMR/WestLife portals should be acknowledged in any publication:
"The FP7 WeNMR (project# 261572) and H2020 West-Life (project# 675858) European e-Infrastructure projects are acknowledged for the use of their web portals, which make use of the EGI infrastructure and DIRAC4EGI service with the dedicated support of CESNET-MetaCloud, INFN-PADOVA, NCG-INGRID-PT, RAL-LCG2, TW-NCHC, SURFsara and NIKHEF, and the additional support of the national GRID Initiatives of Belgium, France, Italy, Germany, the Netherlands, Poland, Portugal, Spain, UK, South Africa, Malaysia, Taiwan and the US Open Science Grid."
And the following article describing the WeNMR portals should be cited:
Wassenaar et al. (2012). WeNMR: Structural Biology on the Grid.J. Grid. Comp., 10:743-767.


The WeNMR Virtual Research Community has been the first to be officially recognized by the EGI.

European Union

WeNMR is an e-Infrastructure project funded under the 7th framework of the EU. Contract no. 261572

WestLife, the follow up project of WeNMR is a Virtual Research Environment e-Infrastructure project funded under Horizon 2020. Contract no. 675858