[hpc-announce] CFP BILIS2020: The 8th International Workshop on High Performance Computing Systems for Biomedical, Bioinformatics and Life Sciences

Miguel Ángel Martínez del Amor mdelamor at us.es
Mon Sep 28 11:53:52 CDT 2020


CALL FOR PAPERS & PARTICIPATION

 

As part of 

The 18th International Conference on High Performance Computing & Simulation
(HPCS 2020)

http://hpcs2020.cisedu.info/   or  http://conf.cisedu.info/rp/hpcs20 

10 - 14 December 2020

Barcelona, Spain (Virtual/Online event)

 

Paper Submission Deadline: 02 October 2020 - Extended

 

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

 

WEBSITE

http://hpcs2020.cisedu.info/2-conference/workshops-hpcs2020/workshop16-bilis

 

SPECIAL THEME: High Performance Computing and Modeling & Simulation Response
to Pandemics

 

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. 

 

Due to the computational intensive problems in life sciences, the marriage
between the Biomedical Informatics 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.
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 sequences are computationally
intensive, providing motivation for the use of powerful computational
systems with high throughput.  Moreover, high-throughput wet lab platforms
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. 

 

The workshop attempts to attract innovative ways of how to extract knowledge
from such massive raw 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 BILIS Workshop topics include (but are not limited to) the following:

*	Techniques, platforms, and solutions to assist healthcare workers
better treat world-wide pandemics
*	General public support approaches to better protect them from
potential risks and exposures
*	HPC for the Analysis of Biological Data
*	Bioinformatics Tools for Health Care
*	Parallel Algorithms for Bioinformatics Applications
*	Integration and Analysis of Molecular and Clinical Data
*	Algorithms and Tools for Biomedical Imaging and Medical Signal
Processing
*	Energy Aware Scheduling Techniques for Large Scale Biomedical
Applications
*	Next Generation Sequencing and Advanced Tools for DNA Assembly 
*	HPC for Gene, Protein/RNA Analysis and Structure Prediction
*	Biocuration and Gene Ontology Annotation
*	Identification of Biomarkers
*	Biomedical Visualization Tools
*	Efficient Clustering and Classification Algorithms
*	HPC for Correlation/co-occurrence 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
*	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 

  

Submit a PDF copy of your full manuscript to the Workshop's paper submission
site at  https://easychair.org/conferences/?conf=bilis2020.  Acknowledgement
will be sent within 48 hours of submission. 

 

Proceedings

Accepted papers will be published in the Conference proceedings.
Instructions for final manuscript format and requirements will be posted on
the HPCS 2020 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 or
ACM Digital Library and indexed in all major indexing services accordingly. 

 

SPECIAL ISSUE

Plans are underway to have the best papers, in extended version, selected
for possible publication in a reputable journal as special issue. Detailed
information will soon be announced and will be made available on the
conference website. 

 

 

IMPORTANT DATES

 

Paper Submissions: ------------------------------------------- 02 October
2020 - Extended

Acceptance Notifications: -------------------------------------09 October
2020

Camera Ready Papers and Registration Due by: ----------- 16 October 2020

Conference Dates: --------------------------------------------- 10-14
December 2020



More information about the hpc-announce mailing list