Projects

ERACoBioTech project

Collection of training material for SEEK/FAIRDOMHub

Data project within the CropXR program

Project to test fairdomhub for potential use by CropXR

DeepCurate was a CompLS (Computational. Life Sciences) project, funded by the BMBF, the German ministry of Education and Research.

Investigation of the regulation and function of the glycogen metabolism within different bacteria with special focus on the phosphoglucomutase enzyme

Good data and model management improves the longevity and impact of your interdisciplinary research. FAIRDOM offers software and expertise to support you in better managing your interdisciplinary life-science projects, particularly in systems and synthetic biology. If you have never heard of data and model management, or are curious about it, or you are an expert keen to exchange ideas, our user meeting is the place for you!

At our users meeting you can:

• Learn why data and model management is ...

AgriVoltaics World Conference 2024 - Presentation manuscript data upload.

Real-time smart monitoring of bioprocesses for efficient conversion of organic carbon to volatile fatty acids

Engineering next level photosynthesis-PhotoBoost is a 4-year research and innovation action that aims to significantly improve the efficiency of photosynthesis in plants. The optimisation of photosynthesis will be achieved by capitalising on multidisciplinary approaches including computational biology, metabolic modelling, systems biology, enzyme and pathway engineering, synthetic biology, and the multigene transformation of two major C3 crops: potato and rice. The PhotoBoost project will deliver ...

A wide variety of specimen types may be collected for storage, depending on availability and study goals, such as tissues that from autopsy and transplant, cell lines, and so on.Timing. In general, it is important to minimize the time between collection and stabilization and processing of tissue specimens. This time will vary according to the intended use, since different biomolecules degrade at different rates. The effects of collection timing on tissue and macromolecule preservation have not ...

Mission: We perform cutting-edge research on data generated by novel biomolecular technologies to address questions in pneumology. Towards this, we use biological high-throughput data, i.e., OMICs data, to gain insights into molecular and phenotypic traits and diseases using computational methods. We combine data, methodology and their applications in pneumology through interdisciplinary collaboration with mathematicians, computer scientists, biologists and physicians.

Following the user guide

Objective: Identify specific brain regions and cell types that are more susceptible to neurodegenerative diseases, using the high-resolution atlas of cell types to determine the molecular signatures associated with disease vulnerability.