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Grant
Agency: Cordis | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2014-ETN | Award Amount: 3.79M | Year: 2015

Algal aquaculture is developing exponentially worldwide, with multiple applications in the food, chemical and pharmaceutical industries. Current research in algal biotechnology mostly focuses on metabolite discovery, aquaculture yield improvement and engineering bottlenecks. However, agronomical experience shows that controlling the interaction of land crops with mutualistic or pathogenic microbes is most critical to successful production. Likewise, controlling the microbial flora associated with algae (the algal microbiome) is emerging as the biggest biological challenge for their increased usage. Bacteria can control the morphogenesis of algae, while others are indispensable to algal survival. Pathogens are causing devastating diseases, the impact of which worsens with the intensification of aquaculture practices. Thus, the overarching aim of ALFF is to train 15 ESRs (researchers and technologists) within a multinational consortium, whilst bringing a scientific step-change in our understanding of these interactions, leading to the development of superior mass algal cultivation and biocontrol strategies. ALFF tackles: 1) the identification, taxonomy and utilisation of naturally-occurring algal symbionts and pathogens; 2) inter- and intra-species signalling and chemical ecology in aquaculture, natural environment and simplified systems (i.e. axenic cultures \/- symbionts); 3) and harnesses state of the art genomics, molecular, and biochemical techniques to characterise these interactions. A highly interdisciplinary team underpins an ambitious theoretical, field, hands-on training and research program. With the support of high profile institutions, ALFF foresees an exceptionally broad range of dissemination and outreach initiatives to help policy makers and the general public better understand the opportunities and issues relating to the sustainable use of our aquatic freshwater and marine resources, within and beyond the EU.


Trademark
Applied Maths Nv and Applied Maths Bvba | Date: 2002-06-11

Computer software used for the comparative mathematical and statistical analysis of genetic expression arrays in the field of biosciences.


Trademark
Applied Maths Nv and Applied Maths Bvba | Date: 2003-03-04

computer software for deriving data for fingerprint analysis.


Grant
Agency: Cordis | Branch: FP7 | Program: CP-FP | Phase: HEALTH.2011.1.1-1 | Award Amount: 7.78M | Year: 2012

Next generation sequencing (NGS) has fundamentally altered genomic research. New developments will bring NGS costs and performance down to an everybodys technology with extreme potential for ultra fast and accurate molecular typing and diagnostic as it provides the ultimate whole genome information. However, technical and bioinformatics constraints, restrict the application of NGS to few highly experienced laboratories. The goal of this project is the transition of NGS from a basic research tool to a highly efficient technology for pathogen typing and diagnostics on the EU level. This objective will be achieved by establishing a unique European consortium that brings together three SMEs leading in the fields of data to knowledge and NGS genome research with leading experts in clinical microbiology of three model pathogens of high European and worldwide importance (methicillin-resistant Staphylococcus aureus, Campylobacter spp., and M. tuberculosis complex. Particularly we will i) develop bio-informatics pipelines for quality-controlled and easy interpretation of NGS data, ii) optimize sample preparation steps and evaluate newest NGS (Ion Torrent) and Optical Mapping (OM) technologies, and iii) develop new, dedicated NGS-based pathogen diagnostic kits. Ultimate goal is to generate automatically plain language reports and to implement GIS and space-time cluster detections for automatic early-warning systems based on NGS-data. Application programming interfaces and a microbial typing ontology for a linked web will be developed. Product-like prototypic software development for automatic analysis of microbial NGS-data will be guided by two leading SMEs. The development of new and improved tools/technologies in this SME-targeted project will overcome existing obstacles of NGS and open the door for a wide application of NGS for European scientists and clinical microbiologist, thus fostering competitiveness of Europe in NGS research and medical applications.


Trademark
Applied Maths Nv and Applied Maths Bvba | Date: 2002-02-12

computer software for the management and analysis of biological experimental data derived from electrophoresis fingerprints, phenotypical tests, arrays, protein and nucleic acid sequences; and used for fingerprint analysis and identification of organisms.

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