NLeSC: Six new projects enabling scientific discovery

17 December 2014

The Netherlands eScience Center is pleased to announce the initiation of six new projects in the areas of Environment and Sustainability, Life Sciences & eHealth, Humanities and Social Sciences and Physical World and Beyond. The projects, scheduled to start in 2015, are collaborations with research teams from multiple Dutch academic groups and represent the latest step in the continued development of NLeSC’s project portfolio. NLeSC is a joint initiative of the Dutch national research council (NWO) and the Dutch organization for ICT in higher education and research (SURF).

The six projects result from two recent calls. Two projects will be funded in the areas of Humanities and Social Sciences. Project leaders Dr. Loro Aroyo and Prof. Piek Vossen will each receive funding to the value of 125,000 euro. Four more projects will receive funding to the value of 500,000 euro to address challenges in climate research, eChemistry and green genetics. NLeSC funds projects by the direct provision of cash and the in kind provision of eScience Research Engineers.

DIVE+: Interacting with Historical Events in Linked Cultural Heritage
Dr. L. Aroyo, VU University Amsterdam

This project provides a basis for interpretation support in searching and browsing of heritage objects, where semantic information from existing collections plus open linked data vocabularies are linking collection objects to the events, people, locations and concepts that are depicted or associated with those objects. An innovative interface paradigm allows for browsing this network of data in an intuitive fashion supporting both digital humanities scholars and general audiences in their online explorations.

Visualizing uncertainty and perspectives
Prof. dr. P. Vossen, VU University Amsterdam

This project aims to develop a tool that visualizes subjectivity, perspective and uncertainty to make them controllable variables in Humanities research. The tool should allow users to compare information from different sources representing alternative perspectives and visualize subjectivity and uncertainty. Such a visualization enables improved and comprehensive source criticism, provides new directions of research and strengthens the methodology of digital humanities.

Environmental Re-Analysis of Urban areas: Quantifying high-resolution energy and water budgets of European cities (ERA-URBAN)
Prof. dr. A.A.M. Holtslag,  Wageningen University
Ongoing world-wide climate change and urbanization illustrate the need to understand urban hydrometeorology and its consequences for human thermal comfort and water management. Limited availability of long-term geographical and hydrometeorological observations and limited computational capacity for urban scale simulations have so far hampered answering related scientific research questions. This project will develop an urban hydrometeorological archive that combines all available, rich and heterogeneous observations with multi-scale atmospheric and hydrological model results. Our challenge is to make the data in the archive meaningful, insightful and useful for scientists, local-scale urban planners, policy makers, (local) companies and individual citizens.

3D-e-Chem: Integrated eScience workflow to translate biological and chemical data into structure-based protein-ligand polypharmacology prediction
Dr. C. de Graaf, VU University Amsterdam

Many new protein targets have been discovered recently and it has been shown that clinical efficacy is often the result of polypharmacological action of drug molecules (i.e. the interaction with more than one protein target). Efficient exploitation of chemical and biological information is hampered however, because a good approach to efficiently integrate large volumes of heterogeneous data from different disciplines is still missing. The data needs to be properly integrated in order to extract useful information that is manageable and applicable in various life science disciplines. This project will develop technologies to improve the integration of ligand and protein data for structure-based prediction of protein-ligand selectivity and polypharmacology.

Computational chemistry made easy
Prof. dr. L. Visscher, VU University Amsterdam

This project concerns the construction and efficient execution of computational chemistry workflows. This allows computational chemists to use the emerging massively parallel computing environments in an easy manner and focus on interpretation of scientific data rather than on tedious job submission procedures and manual data processing. This makes entirely new approaches possible in which a single researcher can model and analyze thousands of compounds with high-level quantum chemistry methods. This yields a wealth of detailed data (molecular structures, transition states, charge distributions, electronic excitation energies) to rationally design solar cells, reduce solvent losses in organic synthesis, tune catalysts, or develop better LEDs, to name just a few applications. The project goal will be realized by bringing concepts from distributed computing (efficient parallelization in heterogeneous environments) and bioinformatics (data management and workflow construction) to the field of computational chemistry.

Prediction of Candidate Genes for Traits Using Interoperable Genome Annotations and Literature
Prof. dr. R.G.F. Visser, Wageningen University
Plant breeding companies are facing a paradigm shift. From traditional quantitative trait loci (QTL) studies, breeders got an insight which region(s) to introgress in their elite germplasm, with the aim to improve traits of interest. However, genome annotations are becoming available for more and more (crop) species and we observe that a QTL region could easily include 1000 genes, positively or negatively affecting the desired phenotype. This project addresses the scientific challenge to utilize genome annotations and semantic interoperability with other databases, such as literature, for computer-assisted prioritization to determine which gene(s) is a candidate explaining the QTL. The application of the project results will be utilized in a better choice of parents for crossing in plant breeding, and as a perspective in the longer term, to enable precision breeding (genomics-assisted in silico design of an optimal genotype with a set of defined traits (e.g. quality and/or resistance), for production in a given environment and the subsequent strategy to breed for such a genotype), but are applicable in (animal, human and plant) genetics research in general.

For more information, please contact Dr. Frank Seinstra f.seinstra@esciencecenter.nl or Dr. Scott Lusher s.lusher@esciencecenter.nl.

Source: NWO

Details

Science area

Netherlands e-Science Center (NLeSC)

Objective

Collaboration in themes (2011-2014)