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Workshop 16-BILIS

International Workshop on High Performance Computing Systems
for Bioinformatics and Life Sciences
(BILIS 2014)


CALL FOR PAPERS

As part of
The International Conference on High Performance Computing & Simulation (HPCS 2014)
http://hpcs2014.cisedu.info  or  http://cisedu.us/rp/hpcs14

July 21 – July 25, 2014
The Savoia Hotel Regency
Bologna, Italy


Extended Submission Deadline: March 25, 2014

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


SCOPE AND OBJECTIVES
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

INSTRUCTIONS FOR PAPER SUBMISSIONS
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  http://hpcs2014.cisedu.info/home/posters   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 via email to the Workshop organizers at hesham@unomaha.edu and cannataro@unicz.it.  Submissions will be acknowledged within 48 hours. 

Only PDF files will be accepted, sent by email to the workshop organizers.  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 2014 conference to present the paper at the workshop.  

Proceedings

Accepted papers will be published in the Conference proceedings.  Instructions for final manuscript format and requirements will be posted on the HPCS 2014 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 accordingly.   

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


IMPORTANT DATES
Extended Paper Submissions: ---------------------------- March 25, 2014
Acceptance Notification: ----------------------------------  April 15, 2014
Camera Ready Papers and Registration Due by: -------  May 12, 2014
Conference Dates:  ----------------------------------------- July 21 – 25, 2014


WORKSHOP ORGANIZERS
Prof. Hesham H. Ali
   Department of Computer Science
   College of Information Science and Technology
   University of Nebraska at Omaha
   Omaha, NE 68182  USA
   Phone:  +1 (402) 554-3623
   Fax:      +1 (402) 554-3284
   Email:   hesham@unomaha.edu

Prof. Mario Cannataro
   Informatics and Biomedical Engineering
   University "Magna Græcia" of Catanzaro
   Viale Europa (Località Germaneto)
   88100 Catanzaro, Italy
   Phone:  +39 0961-369 4100
   Fax:      +39
   Email:   cannataro@unicz.it

International Program Committee*
All submitted papers will be rigorously reviewed by the workshop technical program committee members following similar criteria used in HPCS 2014. 
  • 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, China
  • Jason Rafe Miller, J. Craig Venter Institute (JCVI), Rockville, Maryland, USA
  • Maria Mirto, Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Italy
  • 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: http://hpcs2014.cisedu.info/ or http://cisedu.us/rp/hpcs14  or contact one of the Conference's organizers. 


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