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"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Fri, 26 Jun 2015 12:58:06 +0200
Mario Cannataro <[log in to unmask]>
text/plain (186 lines)
  I apologize for any cross-posting of this announcement.
                            4th International Workshop on
            Parallel and Cloud-based Bioinformatics and Biomedicine (ParBio)

                        held in conjunction with ACM BCB 2015
     ACM Conference on  Bioinformatics, Computational Biology and Health
                                September 9-12, 2015
                                   Atlanta, GA, USA
                               * * * CALL FOR PAPERS * * *
Papers submission: EXTENDED DEADLINE July 15, 2014
Notification of acceptance: July 25, 2015
Camera-ready papers: July 29, 2015


Due to the availability of high-throughput platforms (e.g. next generation
sequencing, microarray and mass spectrometry) and clinical diagnostic
tools (e.g. medical imaging), a recent trend in Bioinformatics and
Biomedicine is the increasing production of experimental and clinical
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.

While Parallel Computing and Grid Computing may offer the computational
power and the storage to face this overwhelming availability of data,
Cloud Computing is a key technology to hide the complexity of computing
infrastructures, to reduce the cost of the data analysis task, and
especially to change the overall model of biomedical research and health

Grid infrastructures may offer the data storage needed to store the huge
experimental and biomedical data, while parallel computing can be used for
basic pre-processing (e.g. parallel BLAST, mpiBLAST) and for more advanced
analysis (e.g. parallel data mining). In such a scenario, novel parallel
architectures (e.g. CELL processors, GPUs, FPGA, hybrid CPU/FPGA) coupled
with emerging programming models may overcome the limits posed by
conventional computers to the mining and exploration of large amounts of

On the other hand, these technologies yet require great investments by
biomedical and clinical institutions and are based on a traditional model
where users often need to be aware and face different management problems,
such as hardware and software management, data storage, software
ownership, and not scalable costs (different professional-level
applications in the biomedical domain have high starting costs that
prevent many small laboratories to use them).

The Cloud Computing technology, that is able to offer scalable costs and
increased reachability, availability and easiness of application use, and
also the possibility to enforce collaboration among scientists, is already
changing the business model in different domains and now it starts to be
used also in the bioinformatics (see for instance the recent JCVI Cloud
Bio-Linux initiative) and biomedical domains.  However, many problems
remain to be solved, such as availability and safety of the data,
privacy-related issues, availability of software platforms for rapid
deployment, execution and billing of biomedical applications.

The goal of ParBio 2015 is to bring together scientists in the fields of
high performance and cloud computing, computational biology and medicine,
to discuss, among the others, the organization of large scale biological
and biomedical databases, the parallel/service-based implementation of
bioinformatics and biomedical applications, and problems and opportunities
of moving biomedical and health applications on the cloud.

The workshop will focus on research issues, problems and opportunities of
moving biomedical and health applications on the cloud, as well as on the
opportunity to define guidelines and minimum requirements for a Biomedical
Cloud. Moreover, the workshop will discuss about parallel and distributed
management and analysis of molecular and clinical data, that more and more
need to be integrated and analyzed in a joint way.

The main themes and research topics will regard the applications of
parallel and high performance computing to biology and medicine, as well
as Cloud Computing opportunities and problems for bioinformatics and
biomedical applications

- Large scale biological and biomedical databases
- Data integration and ontologies in biology and medicine
- Integration and analysis of molecular and clinical data
- Parallel bioinformatics algorithms
- Parallel visualization and exploration of omics and clinical data
- Parallel visualization and analysis of biomedical images
- Computing environments for large scale collaboration
- Scientific workflows in bioinformatics and biomedicine
- Emerging architectures and programming models for bioinformatics and
- Parallel processing of bio-signals
- Modeling and simulation of complex biological processes
- Cloud Computing for bioinformatics and biomedicine
- Cloud Computing for health systems
- Privacy issues for Cloud-based biomedical applications
-  (Web) Services for bioinformatics and biomedicine
- Grid Computing for bioinformatics and biomedicine
- Peer-To-Peer Computing for bioinformatics and biomedicine

The workshop will take place on September 9th, 2015 (Wednesday)
It is scheduled as full-day / half-day (To be Announced).
The program is not available yet.

ParBio 2015 welcomes original submissions that have not been published and
that are not under review by another conference or journal. Papers should
not exceed 10 pages in ACM template on 8.5 x 11 inch paper (see ACM
templates -
All submissions will be evaluated on their originality, technical
soundness, significance, presentation, and interest to the conference
Submission implies the willingness of at least one of the authors to
register and present the work associated with the paper submitted. All
submitted papers will be reviewed by ParBio's technical program committee.
All accepted papers of registered authors will be included in the workshop
proceedings published by ACM digital libraries. Authors of selected papers
may be invited to adapt their papers for their publication in several
journals. Authors of accepted papers will be required to submit an online
ACM Copyright Form. Authors will be contacted by ACM requesting this
information. Authors should submit papers using the ParBio2015 Easy Chair
Installation (

Paper submission: EXTENDED TO July 15, 2015
Notifications sent to authors: July 25, 2015
Camera-ready papers due: July 29, 2015 THIS IS A FIRM DEADLINE
Workshop: September 9, 2015

Prof. Mario Cannataro
Prof. John A. Springer
Department of Medical and Surgical Sciences,
University Magna Graecia of Catanzaro, Italy
Department of Computer and Information Technology,
Purdue University, USA


Pratul K. Agarwal, Oak Ridge National Laboratory, USA
David A. Bader, College of Computing, Georgia University of Technology, USA
Ignacio Blanquer; Universidad Politecnica de Valencia, Valencia, Spain
Vincent Breton, CNRS/IN2P3, LPC Clermont-Ferrand, France
Marian Bubak, AGH Krakow, PL, and University of Amsterdam, NL
Rajkumar Buyya, University of Melbourne, Melbourne, Australia
Umit Catalyurek, The Ohio State University, USA
Jake Y. Chen, Indiana University - Purdue University Indianapolis (IUPUI),
Tim Clark, Harvard Medical School, USA
Giuseppe Di Fatta, University of Reading, UK
Werner Dubitzky, University of Ulster, UK
Ananth Y. Grama, Purdue University, USA
Concettina Guerra, Georgia Institute of Technology, USA
Pietro Hiram Guzzi, University Magna Graecia of Catanzaro, Italy
Vicente Hernandez, Universidad Politecnica de Valencia, Spain
Pilar Herrero, Universidad Politecnica de Madrid, Madrid, Spain
Kamer Kaya, The Ohio State University, USA
Salvatore Orlando, University of Venezia, Italy
Maria S. Perez, Universidad Politecnica de Madrid, Madrid, Spain
Richard Sinnott, University of Melbourne, Melbourne, Australia
Tony Solomonides, University of West of England, Bristol, UK
Roberto Tagliaferri, University of Salerno, Italy
Paolo Trunfio, University of Calabria, Italy
Albert Zomaya, University of Sydney, Australia

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