High Performance Computing for Life and Network Sciences: Mathematical Models, Algorithms, and Tools
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Parallel and Distributed Algorithms".
Deadline for manuscript submissions: closed (15 December 2021) | Viewed by 1005
Special Issue Editors
Interests: image processing and analysis; scientific computing; parallel computing
Special Issues, Collections and Topics in MDPI journals
Interests: computational biology; data science; bioinformatics; COVID-19
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advancements in Life Sciences are largely driven by the development of powerful technologies and computational tools. Applications range from drug discovery and personalized medical therapies to improved agricultural and green energy production. However, the solution of real-world problems requires a multidisciplinary approach and poses new challenges to the field of High-Performance Computing (HPC) at different levels:
- The mathematical modeling and the simulation of complex phenomena (human organ functions, evolution of diseases, sustainable energy systems, etc.);
- The modelling of such phenomena by using large complex network that should be efficiently analysed
- the processing and analysis of massive amounts of data produced by modern technologies (omics and genome sequencing, functional and anatomical imaging, High-Content Screening, etc.);
- the extracting, merging and understanding of information from different sources (merging different types of images, bridging imaging and omics data, etc.);
- the storage, security, and availability of datasets (in order to gather information, compare results, reproduce the experiments, etc.).
The Special Issue is also connected to the EuroPar worshop: HPC4LifeS2021, and extended versions of the high quality papers selected by program committee and presented on the conference will be recommended for publication.
The HPC4LifeS Workshop is oriented to explore the key role of HPC algorithms, methodologies and tools for solving problems related to different branches of Life Sciences (Biology, Biomedicine, Bioengineering, Network Science, Ecology, etc.).
Topics of interest include, but are not limited to, the following:
- Parallel Computing for Biological Systems
- Parallel Simulations
- Parallel and Distributed Genetic Algorithms
- Parallel and Distributed Algorithms for Network Analysis
- Parallel and Distributed Algorithms for Network Embedding
- Parallel Data Mining Approaches to Life Sciences
- Parallel and Distributed Computing in genomic research
- Parallel and Distributed architecture for Bioengineering
- Cloud Computing for Bioengineering
- Machine Learning techniques for predictive algorithms
- Metabolic and regulatory networks
- Linking variety of databases
Dr. Laura Antonelli
Dr. Pietro Hiram Guzzi
Guest Editors
Manuscript Submission Information
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Keywords
- high scientifc computing
- network analysis and embedding
- high performance machine learning
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