Projects

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

AgriVoltaics World Conference 2024 - Presentation manuscript data upload.

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 ...

Following the user guide

supplementary information: figures and tables

New Optical Coherence Tomography Biomarkers Identified with Deep Learning for Risk Stratification of Patients with Age-related Macular Degeneration

This project collects and maintains metadata templates designed and used at the UMass Chan BioImage DMS Core and built in collaboration with the CBI Open Science Project. The templates are based on the REMBI recommendations and on the NBO-Q Microscopy Metadata specifications. These templates contribute to FAIR bioimaging data in North America, and are meant to be utilized to support image data annotation in the OMERO database.

FUNCEMM is a project bringing together 2 teams from France and Austria focusing on synthetic methylotrophy.

The BioRECIPE (Biological system Representation for Evaluation, Curation, Interoperability, Preserving, and Execution) knowledge representation format was introduced to facilitate seamless human-machine interaction while creating, verifying, evaluating, curating, and expanding executable models of intra- and intercellular signaling. This format allows a human user to easily preview and modify any model component, while it is at the same time readable by machines and can be processed by a suite ...

SDBV group using Hub

Based on the combination of sensor and big data revolutions, PHENET (HE INFRA-TECH) will equip crop and ecosystems RI with innovative services based on tools and methods developed in the frame of the project and allowing enhanced capacity to future-proofing agroecosystems. These services will be excellent tools for users addressing environmental and societal challenges such as climate change adaptation / mitigation and agroecology transition.

Testing out FAIRDOM-Seek

MESI-Review 2024