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Science domains

Domain-specific services are IT platforms or tools, specialized to support use cases typical for a given scientific area. They combine the specific requirements of scientists representing a particular area, with access to advanced technical means. They are also developed to provide optimized access to the PL-Grid Infrastructure resources.

The implementation of new dedicated services will enable to obtain scientific results faster and streamline and automate the work of researchers and research groups.

New domain-specific services, developed in the framework of the PLGrid NG project, include a wide range of specialties, ranging from the delivery of specialized software, through mechanisms providing data storage, up to modern platforms for integrating new type of tools and specialized databases.

The next areas of IT support are realized in form of dedicated services for the following scientific disciplines:

  • Biology – providing tools for processing the data obtained from high throughput DNA sequencing in the PL-Grid Infrastructure.
  • Complex Networks – dynamic data collection from the Web, in particular Web 2.0 (including text data), sharing of collected data (raw or structured), processing of large data sets, sharing large collections of reference data for research.
  • Computational Chemistry – 1) building the repository of experimental data (related mainly to the excited states of molecules), together with the results of tests of computational models relating to this data and tools enabling to carry out users’ own tests and comparisons, and finally, to initiate the calculations with a method chosen as a result of these analyses; 2) extension of the InSilicoLab for Chemistry platform with the functionality facilitating the launch of high-performance computing codes allowing for strong parallelization of calculations and the use of hardware acceleration (GPGPU).
  • eBalticGrid – for research purposes of the Baltic Sea, providing the numerical model of the ice and the sea at a very advanced and complex structure. This will allow users to review and analyze the physical fields characterizing the Baltic Sea and its ice cover without having to learn the nontrivial structure.
  • Geoinformatics – building a platform supporting the process of publication and integration of heterogeneous research data with environmental data available within the INSPIRE (Infrastructure for Spatial Information in Europe) Directive. The service will provide a unique solution to support the work of research groups using environmental data in their studies.
  • Hydrology – 1) providing forecasts of changes in the level of the ocean; 2) determination of evapotranspiration estimates for local or regional hydrological models.
  • Mathematics – building a platform enabling in an easy way to perform computational experiments, with a particular focus on the statistics, and development of a platform for the support and exchange of experience for researchers in this field.
  • Medicine – storage and processing of image data for physicians using this type of data for scientific research and diagnostics.
  • Metal Processing Technologies – creation of a hybrid computer system enabling to perform the optimization of procedures and production cycles of metal processing with the use of grid infrastructures.
  • Meteorology – building a platform for the generation of meteorological forecasts at high temporal and spatial resolution, and sharing those forecasts based on OGC (Open Geospatial Consortium) services.
  • Nuclear Power and CFD (Computational Fluid Dynamics) – 1) analysis and design of complex nuclear systems, both experimental and industrial, in which the object of interest are changes in matter caused by nuclear radiation, such as nuclear transmutation, activation, radiological hazard, destruction of the structure, nuclear heating and after-turned-off heat; 2) building a system allowing optimization of the rotodynamic machines using CFD techniques within the PL-Grid Infrastructure.
  • Open Oxides – building an online database of structural properties of selected oxide materials.
  • Personalized Medicine – preparation of integrated services concerning storage, sharing and analysis of genomic, clinical and environmental data.
  • UNRES – simplification of work with the UNRES package as well as installation and tests of this software on a wide range of systems available in the PL-Grid Infrastructure. UNRES is a software package used to study: 1) the mechanism of protein folding; 2) thermodynamic effects associated with the folding / unfolding and oligomerization of proteins; 3) the mechanism of action, in a long time scale, the cellular machinery (protein complexes).
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