Projects

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'

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 ...

nfdi4health aims to create the most comprehensive inventory of German epidemiological, public health and clinical trial data to date. It builds a centralised data catalogue with elaborate search functionalities, sophisticated data access management, and a data analysis toolbox, while respecting stringent requirements for privacy concerning personal health data. Standardisation services ensure a high degree of interoperability. Use cases covering prototypical study types and areas of research show ...

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.

Further proteomic data and ATP calculation

Testing out FAIRDOM-Seek

Cyanobacteria are the only prokaryotes performing oxygenic photosynthesis. Theyhad and have tremendous influence on the biogeochemical cycles on Earth. Recently,cyanobacteria are increasingly investigated as cell factories for a sustainableeconomy. Despite their global, environmental and rising economic importance, ourknowledge on the regulation of their primary metabolism is fragmented.Cyanobacteria switch between photoautotrophic and heterotrophic modes ofmetabolism during day/night cycles or ...

MESI-Review 2024

MESI-STRAT: Systems Medicine of Metabolic-Signaling Networks -A New Concept for Breast Cancer Patient Stratification. Breast cancer is a complex disease with high prevalence in the European Union and world-wide. 75%-80 of the patients have estrogen receptor-positive (ER)-positive tumors and are treated with endocrine therapies. Endocrine therapies, which block ER-driven tumor growth, show high efficacy. Yet, a significant proportion of the patients will eventually relapse with metastatic breast ...

Cell biological and proteogenomic study of the chloroplast of the marine, bloom-forming dinoflagellate P. cordatum

This data contains fish data such as fish abundance, fish community structure data, fish species data obtained in the study, fish productivity and also fish length-weight relationships.

This research discusses what is the status of fisheries provisioning services in Jatigede Reservoir and what anthropogenic pressures in the form of community activities affect the status of fisheries provisioning services.

MESI-STRAT Review

This project aims to streamline the integration of Japanese plant research data into the global data ecosystem using the FAIR Data-finder for Agronomic Research (FAIDARE) and Breeding API (BrAPI) standards. Despite the large and diverse datasets generated in plant research, there are significant barriers to efficient data use due to findability and interoperability issues. Our initiative addresses these challenges by adopting the Minimum Information About Plant Phenotyping Experiments (MIAPPE) ...

PoLiMeR is funded through the EU Marie Skłodowska-Curie Innovative Training Network (ITN), which drives scientific excellence and innovation. ITNs bring together universities, research institutes, industry and clinical partners from across the world to train researchers to doctorate level.

Metabolic diseases are a burden on the European population and health care system. It is increasingly recognised that individual differences with respect to history, lifestyle, and genetic make-up affect disease ...