Find open-source science resources
A directory of tools, AI models, datasets, and research resources for biotech, bioinformatics, and other scientific fields. Aggregated from curated GitHub awesome-lists, HuggingFace, bio.tools, Bioconductor, and more.
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18 of 5,893 resources
PomBase manages gene and phenotype data related to Fission Yeast. FYECO contains experimental conditions relevant to fission yeast biology. The FYECO namespace shows up in data ingests from PomBase.
NFDI-MatWerk aims to establish a digital infrastructure for Materials Science and Engineering (MSE), fostering improved data sharing and collaboration. This repository provides comprehensive documentation for NFDI MatWerk Ontology (MWO) v3.0.0, a foundational framework designed to structure research data and enhance interoperability within the MSE community. To ensure compliance with top-level ontology standards, MWO v3.0.0 is aligned with the Basic Formal Ontology (BFO) and incorporates the modular approach of the NFDIcore mid-level ontology, enriching metadata through standardized classes and properties. The mwo addresses key aspects of MSE research data, including the NFDI-MatWerk community structure, covering task areas, infrastructure use cases, projects, researchers, and organizations. It also describes essential NFDI resources, such as software, workflows, ontologies, publications, datasets, metadata schemas, instruments, facilities, and educational materials. Additionally, mwo represents NFDI-MatWerk services, academic events, courses, and international collaborations. As the foundation for the MSE Knowledge Graph, mwo facilitates efficient data integration and retrieval, promoting collaboration and knowledge representation across MSE domains. This digital transformation enhances data discoverability, reusability, and accelerates scientific exchange, innovation, and discoveries by optimizing research data management and accessibility. (from repository)
The Experimental Measurements, Purposes, and Treatments ontologY (EMPTY) is a structured vocabulary designed to capture and standardize the scientific reasoning behind experimental measurements. It addresses a critical gap in existing metadata standards, which primarily focus on technical specifications rather than scientific intent. The ontology provides a common language to express why a measurement was taken and the conceptual conditions under which it should be interpreted. By focusing on experimental purposes and treatments, EMPTY is designed to significantly improve the findability, interoperability, and reusability of scientific data. This enables researchers to discover relevant datasets for meta-analyses and cross-disciplinary research based on shared scientific goals. (from https://github.com/OBOFoundry/OBOFoundry.github.io/issues/2753)
This ontology is a formal representation that captures the fundamental concepts and their relationships to one another in the field of curriculum design and implementation of the German school system.
SO is a collaborative ontology project for the definition of sequence features used in biological sequence annotation. It is part of the Open Biomedical Ontologies library.
A project supporting the DRAO application ontology, a hierarchy of specific research domains and descriptors which imports subsets of terms from over 40 publicly-available terminologies. (from repository)
A terminology for the skills necessary to make data FAIR and to keep it FAIR.
An ontology developed as part of the Chemical Analysis Metadata Project (ChAMP) as a resource to semantically annotate standards developed using the ChAMP platform. (source: CAO ontology)
The academic event ontology, currently still in development and thus unstable, is an OBO compliant reference ontology for describing academic events such as conferences, workshops or seminars and their series. It is being developed as part of the [ConfIDent project](https://projects.tib.eu/confident/) to allow RDF representations of the academic events and series stored and curated in the [ConfIDent platform](https://www.confident-conference.org/index.php/main_page).
A controlled vocabulary to support the study of transcription in the primate brain
This proposed vocabulary allows edges in Property Graphs (e.g Neo4j, RDF*) to be augmented with edge properties that specify ontological semantics, including (but not limited) to OWL-DL interpretations. [from GitHub]