CALL FOR PAPERS
High-throughput technologies (e.g. microarray, mass spectrometry, NGS) and clinical diagnostic tools (e.g. medical imaging) are producing an increasing amount of experimental and clinical data. In such a scenario, large-scale databases and bioinformatics tools are key tools for organizing and exploring biological and biomedical data with the aim to discover new knowledge in biology and medicine.
High-performance computing may play an important role in many phases of life sciences research, from raw data management and processing, to data analysis and integration, till data exploration and visualization. In particular, at the raw data layer, Grid infrastructures may offer the huge data storage needed to store experimental and biomedical data, while parallel computing can be used for basic pre-processing (e.g. parallel BLAST) and for more advanced analysis (e.g. parallel data mining). In such a scenario, novel parallel architectures (e.g. 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 data.
At an higher layer, emerging biomedical applications need to use in a coordinated way both bioinformatics tools, biological data banks and patients clinical data, that require seamless integration, privacy preservation and controlled sharing. Service Oriented Architectures and semantic technologies, such as ontologies, may allow the building and deployment of the so-called collaboratories where remote scientists may conduct experimental research in a collaborative way.
The goal of HiBB is to bring together scientists in the fields of bioinformatics, biomedicine, medical informatics, high performance computing, as well as scientists working in biology and medicine, to discuss, among the others, the challenges and the requirements posed by novel data analysis pipelines for the management and analysis of omics data, that are more and more produced by high-throughput experimental platforms as well as diagnostic tools. Furthermore, the use of novel parallel architectures and dedicated hardware to implement bioinformatics and biomedical algorithms will be discussed.
TOPICS OF INTEREST
The workshop is seeking original research papers presenting applications of parallel and high performance computing to biology and medicine. Topics of interest include, but are not limited to:
- High performance data mining for bioinformatics and biomedicine.
- Large scale biological and biomedical databases
- Data integration and ontologies in biology and medicine
- Parallel bioinformatics algorithms
- Parallel visualization and exploration of biomedical data
- Parallel visualization and analysis of biomedical images
- Computing environments for large scale collaboration
- Scientific workflows in bioinformatics and biomedicine
- Services for bioinformatics and biomedicine
- Cloud Computing for bioinformatics and biomedicine
- Peer-To-Peer Computing for bioinformatics and biomedicine
- Emerging architectures and programming models for bioinformatics and biomedicine
- Parallel processing of bio-signals
- Modeling and simulation of complex biological processes
The workshop will take place on December 3-6, 2018 (To Be Announced). The program is not available yet.
PAPER SUBMISSION, REGISTRATION AND PUBLICATION
Please submit a full-length paper (up to 8 page IEEE 2-column format) through the BIBM-2017 Workshops submission system:
You can download the format instruction here:
Electronic submissions (in PDF or Postscript format) are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance.
Sept 30, 2018: Due date for full workshop papers submission
Oct 27, 2018: Notification of paper acceptance to authors
Nov 15, 2018: Camera-ready of accepted papers
Dec 3-6, 2018: Workshop
JOURNAL SPECIAL ISSUE
After of the workshop, we plan to invite the best papers of the workshop for a special issue of an international journal.
Mario Cannataro, University Magna Graecia of Catanzaro, Italy
PROGRAM COMMITTEE (TO BE CONFIRMED)
1. Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy
2. Pratul K. Agarwal, Oak Ridge National Laboratory, USA
3. Ignacio Blanquer; Universidad Politecnica de Valencia, Valencia, Spain
4. Giuseppe Di Fatta, University of Reading, UK
5. Werner Dubitzky, University of Ulster, UK
6. Ananth Y. Grama, Purdue University, USA
7. Concettina Guerra, Georgia Institute of Technology, USA
8. Vicente Hernandez, Univ. Politecnica de Valencia, Spain
9. Salvatore Orlando, University of Venezia, Italy
10. Horacio Perez-Sanchez, University of Murcia, Spain
11. Laura Ricci, University of Pisa, Italy
12. Richard Sinnott, University of Melbourne, Melbourne, Australia
13. Paolo Trunfio, University of Calabria, Italy
14. Albert Zomaya, University of Sydney, Australia