HiBB 2014 - Fifth Workshop on High Performance Bioinformatics and Biomedicine HiBB 2014

High-throughput technologies (e.g. microarray and mass spectrometry) 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 patientï¿?s 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 high performance computing, computational biology and medicine to discuss, among the others, the organization of large-scale biological and biomedical databases and the parallel implementation of bioinformatics algorithms and biomedical applications. 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:
- 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
- (Web) Services for bioinformatics and biomedicine
- Grid Computing for bioinformatics and biomedicine
- Peer-To-Peer Computing for bioinformatics and biomedicine
- Emerging architectures and programming models (e.g. Cell, GPUs) for bioinformatics and biomedicine
- Parallel processing of bio-signals
- Modeling and simulation of complex biological processes