Projects

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.

The group around Nicole Radde specializes in the modeling, analysis, and simulation of biochemical systems. This especially includes parameter optimization and identification.

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

Background: The immunoproteasome is expressed constitutively in immune cells alongside standard proteasomes and forms multiple mixed types of proteasome complexes. These mixed 20S proteasomes may have distinct proteolytic activities depending on their subunit composition and may thereby regulate immune cell function. Using site-specific versus pan-inhibitors of the immunoproteasome, we here aim to dissect the biological functions of the three active sites of the immunoproteasome for monocyte cell ...

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.

Learning how to work with fairdomhub

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.

This project stored supplementary files that we didn't include in the paper ' Exploring the Evolution of the Gene Ontology and itsImpact on Enrichment Analysis'