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"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Thu, 9 Apr 2015 10:03:28 +0200
Mario Cannataro <[log in to unmask]>
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International Workshop on High Performance Computing Systems  for
Bioinformatics and Life Sciences (BILIS 2015)


As part of The International Conference on High Performance Computing &
Simulation (HPCS 2014)  or 

July 20 – July 24, 2015
The Hilton Amsterdam Hotel
Amsterdam, The Netherlands 

Extended Submission Deadline: April 24, 2015

Submissions could be for full papers, short papers, poster papers, or posters

Incorporating new advancements of Information Technology (IT) in general
and High Performance Computing (HPC) in particular in the domain of Life
Sciences and Biomedical Research continues to receive tremendous attention
of researchers, biomedical institutions and the rest of the biomedical
community. Although medical instruments have benefited a great deal from
the technological advances of the couple of decades, the impact of
integrating IT advancements in addressing critical problems in biomedical
research remains limited and the process of penetrating IT tools in the
medical profession continues to be a very challenging problem.  For
example, the use of electronic medical records and Hospital Information
Systems in improving health care remains fragmented. Similarly, the use of
advanced computational tools seamlessly in the biomedical research cycle
continues to be minimal. 

Due to the computational intensive problems in life sciences, the marriage
between the Bioinformatics domain and high performance computing is
critical to the advancement of Biosciences. In addition, the problems in
this domain tend to be highly parallelizable and deal with large datasets,
hence using HPC is a natural fit. The Bioinformatics domain is rich in
applications that require extracting useful information from very large
and continuously growing sequence of databases. Most methods used for
analyzing DNA/Protein sequences are known to be computationally intensive,
providing motivation for the use of powerful computational systems with
high throughput characteristics. 

Moreover, high-throughput wet lab platforms such as next generation
sequencing, microarray and mass spectrometry, are producing a huge amount
of experimental "omics" data.  The increasing availability of omics data
poses new challenges to bioinformatics applications that need to face in a
semi-automatic way an overwhelming availability of raw data. Main
challenges regard: 1) the efficient storage, retrieval and integration of
experimental data; 2) their efficient and high-throughput preprocessing
and analysis; 3) the building of reproducible "in silico" experiments; 4)
the integration of analysis results with pre-existing knowledge usually
stored into ontologies.

As the storage, preprocessing and analysis of raw experimental data is
becoming the main bottleneck of the analysis pipeline, parallel computing
is playing an important role in all steps of the life sciences research
pipeline, from raw data management and processing, to data integration and
analysis, and to data exploration and visualization. Moreover, Cloud
Computing is becoming the key technology to hide the complexity of
computing infrastructures, to reduce the cost of the data analysis task,
and especially to change the overall business model of biomedical research
and health provision.

Considering the complex analysis pipeline of the biomedical research, the
bottleneck is more and more moving toward the storage, integration, and
analysis of experimental data, as well as their correlation and
integration with publicly available data banks In such a scenario,
large-scale distributed databases and parallel bioinformatics tools are
key tools for organizing and exploring biological and biomedical data with
the aim to discover new knowledge in biology and medicine.

In the current Information age, further progress of Medical Sciences
requires successful integration with Computational and Information
Sciences. The workshop attempts to attract innovative ways of how such
integration can be achieved via Bioinformatics and Biomedical Informatics
research, particularly in taking advantage of the new advancements in HPC
systems. The focus of data analysis and data mining tools in biomedical
research highlights the current state of research in the key biomedical
research areas such as bioinformatics, medical informatics and biomedical
imaging. Addressing performance concerns in managing and accessing medical
data, while facilitating the ability to integrate and correlate different
biomedical databases remains an outstanding problem in biomedical
research. The amount of available biomedical data continues to grow in an
exponential rate; however, the impact of utilizing such resources remains
minimal. The development of innovative tools in HPC environments to
integrate, analyze and mine such data sources is a key step towards
achieving large impact levels. 

The workshop focuses on topics related to the utilization of HPC systems
and new models of parallel computing and cloud computing in problems
related to Biomedical Informatics, along with the use of data integration
and data mining tools to support biomedical research and Health Care.  

The BILIS Workshop topics include (but are not limited to) the following:

* HPC for the Analysis of Biological Data
* Bioinformatics Tools for Health Care
* Parallel Algorithms for Bioinformatics Applications
* Ontologies in Biology and Medicine
* Integration and Analysis of Molecular and Clinical Data
* Parallel Bioinformatics Algorithms
* Algorithms and Tools for Biomedical Imaging and Medical Signal Processing
* Energy Aware Scheduling Techniques for Large Scale Biomedical Applications
* HPC for analyzing Biological Networks
* Next Generation Sequencing and Advanced Tools for DNA Assembly 
* HPC for Gene, Protein/RNA Analysis and Structure Prediction
* Identification of Biomarkers
* Biomedical Visualization Tools
* Efficient Clustering and Classification Algorithms
* Correlation Networks in Biomedical Research
* Data Mining Techniques in Biomedical Applications
* Heterogeneous Data Integration
* HPC systems for Ontology and Database Integration
* Pattern Recognition and Search Tools in Biological and Clinical Databases
* Ubiquitous Medical Knowledge Discovery and Exchange
* HPC for Monitoring and Treatment Facilities
* Drug Design and Modeling
* Computer Assisted Surgery and Medical Procedures
* Remote Patient Monitoring, Homecare Applications
* Mobile and Wireless Healthcare and Biomedical Applications
* Cloud Computing for Bioinformatics, Medicine, and Health Systems

You are invited to submit original and unpublished research works on above
and other topics related to HPC for Bioinformatics, Healthcare and Life
Sciences. Submitted papers must not have been published or simultaneously
submitted elsewhere. For Regular papers, please submit a PDF copy of your
full manuscript, not to exceed 8 double-column IEEE formatted pages, and
include up to 6 keywords and an abstract of no more than 400 words. 
Additional pages will be charged additional fee. Submission should include
a cover page with authors' names, affiliation addresses, fax numbers,
phone numbers, and all authors email addresses.  Please, indicate clearly
the corresponding  author(s).  Short papers (up to 4 pages), poster papers
and poster (please refer
to   for posters
submission details) will also be accepted.  Please specify the type of
submission you have.  Please include page numbers on all preliminary
submissions to make it easier for reviewers to provide helpful comments. 

Submit a PDF copy of your full manuscript to the symposium paper
submission site at
 Acknowledgement will be sent within 48 hours of submission.  If the
submission is for a poster paper or short paper, indicate that as well on
the manuscript and in the form's Notes field. 

Only PDF files will be accepted, uploaded to the workshop submission link
above. Each paper will receive a minimum of three reviews. Papers will be
selected based on their originality, relevance, significance, technical
clarity and presentation. Submission implies the willingness of at least
one of the authors to register and present the paper, if accepted. At
least one of the authors of each accepted paper will have to register and
attend the HPCS 2015 conference to present the paper at the workshop. 

Accepted papers will be published in the Conference proceedings.
Instructions for final manuscript format and requirements will be posted
on the HPCS 2015 Conference web site. It is our intent to have the
proceedings formally published in hard and soft copies and be available at
the time of the conference. The proceedings is projected to be included in
the IEEE Digital Library and indexed in all major indexing services

If you have any questions about paper submission or the workshop, please
contact the organizers. 

Extended Paper Submissions: ---------------------------- April 24, 2015
Acceptance Notification: ----------------------------------  May 04, 2015
Camera Ready Papers and Registration Due by: -------  May 14, 2015
Conference Dates:  ----------------------------------------- July 20 – 24,


Prof. Hesham H. Ali
   Department of Computer Science
   College of Information Science and Technology
   University of Nebraska at Omaha
   Omaha, NE 68182  USA
   Email:   [log in to unmask]

Prof. Mario Cannataro
   Informatics and Biomedical Engineering
   University "Magna Græcia" of Catanzaro
   Viale Europa (Località Germaneto)
   88100 Catanzaro, Italy
   Email:   [log in to unmask]

International Program Committee*:  
All submitted papers will be rigorously reviewed by the workshop technical
program committee members following similar criteria used in HPCS 2015.  
* Dhundy Bastola, UNO Bioinformatics Core Facility, University of Nebraska
- Omaha, Nebraska, USA
* Sanjukta Bhomwick, University of Nebraska - Omaha, Nebraska, USA
* Marian Bubak, AGH University of Science and Technology, Kraków, Poland
* Young-Rae Cho, Dept of Computer Science, Baylor University, Texas, USA
* Alexander Churbanov, Nebraska Center of Virology, University of
Nebraska-Lincoln, Nebraska, USA
* Kathryn Dempsey, University of Nebraska Medical Center (UNMC), Omaha,
Nebraska, USA
* Xutao Deng, Beckman Research Institute, City of Hope Medical Center,
Duarte, California, USA
* Giuseppe Di Fatta, University of Reading, U.K.
* Huimin Geng, Institute of Computational Biomedicine, Weill Cornell
Medical College, NYC, New York, USA
* Pietro Hiram Guzzi, University of Catanzaro, Italy
* Mahantesh Halappanavar, Pacific Northwest National Lab, Richland,
Washington, USA
* David Hill, Computer Science & Modeling Laboratory, Blaise Pascal
University, Cedex, France
* Ying Liu, Graduate University of Chinese Academy of Sciences, Beijing,
* Jason Rafe Miller, J. Craig Venter Institute (JCVI), Rockville,
Maryland, USA
* Maria Mirto, Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC),
* Daniel Quest, Mayo Clinic - Rochester, Minnesota, USA
* Richard Sinnott, University of Melbourne, Australia
* Roberto Tagliaferri, University of Salerno, Italy

   (*The TPC is pending and will be confirmed shortly.) 

For information or questions about Conference's paper submission,
tutorials, posters, workshops, special sessions, exhibits, demos, panels
and forums organization, doctoral colloquium, and any other information
about the conference location, registration, paper formatting, etc.,
please consult the Conference’s web site at
URL: or  or contact
one of the Conference's organizers.  

New book release
Handbook of Research on Computational Grid Technologies for Life Sciences,
Biomedicine, and Healthcare
ISBN: 978-1-60566-374-6; 1,050 pp; May 2009 Published under Medical
Information Science Reference an imprint of IGI Global
Edited by: Mario Cannataro, University Magna Graecia of Catanzaro, Italy
Prof. Mario Cannataro,
Informatics and Biomedical Engineering,
University "Magna Græcia" of Catanzaro,
Viale Europa (Località Germaneto), 88100 CATANZARO, ITALY,
Tel: 0961-369 4100, Fax: 0961-369 4073/4090, Email: [log in to unmask],

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