In conjunction with CCGrid 2017 - 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 14–17, 2017, Madrid, Spain
We are happy to announce the final program of the workshop, encompassing diverse topics of distributed computing in life sciences. The workshop fee is included in the full CCGrid 2017 conference fees. Registration is possible on the main conference's registration site.
|8:45 - 9:00||Welcome and Introduction by the Workshop Chairs|
|9:00 - 9:30||
Medical Imaging Processing on a Big Data platform using Python: Experiences with Heterogeneous and Homogeneous Architectures
Estefanía Serrano, Javier Garcia Blas, Jesus Carretero and Monica Abella
|9:30 - 10:00||
Analog-Digital Approach in Human Brain Modeling
Kirill Lysov, Alexander Bogdanov, Alexander Degtyarev, Dmitriy Guschanskiy, Ananieva Nataliya, Zalutskaya Nataliya and Neznanov Nikolay.
|10:00 - 10:30||
Biopet: towards Scalable, Maintainable, User-friendly, Robust and Flexible NGS data analysis pipelines
Peter van 'T Hof, Hailiang Mei, Sander Bollen, Jeroen Laros, Wibowo Arindrarto and Szymon Kielbasa.
Coffee Break 10:30 - 11:00
|11:00 - 11:30||
Using the Cloud for parameter estimation problems: comparing Spark vs MPI with a case-study
Patricia Gonzalez, Xoán C. Pardo, David Rodríguez Penas, Diego Teijeiro, Doallo Ramón and Julio Banga
|11:30 - 12:00||
Fine-grained Supervision and Restriction of Biomedical Applications in Linux Containers
Michael Witt, Christoph Jansen, Dagmar Krefting and Achim Streit
|12:00 - 12:10||
Toward an Architecture for mHealth Web Data Choreography
Saranya Radhakrishnan and D. Cenk Erdil
|12:10 - 12:30||
Discussion: Perspectives and Challenges in Biomedical Analytics
Moderation: Dagmar Krefting.
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 decision-making.
Contributions are expected but not restricted to the following topics:
Submission of poster presentations should be sent by email to the workshop chairs. Supplementary material like figures can be attached as pdf.
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.
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 10 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.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.