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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METPO (Microbial Ecophysiological Trait and Phenotype Ontology) provides standardized terms for describing microbial phenotypes, growth characteristics, and culture conditions. It includes classes for growth media, temperature tolerances, pH tolerances, and relationships like "grows in" and "does not grow in".
A controlled vocbualry of higher education resource types
This ontology is based on the SSN Ontology by the W3C Semantic Sensor Networks Incubator Group (SSN-XG), together with considerations from the W3C/OGC Spatial Data on the Web Working Group.
Ontologies that aim to provide semantic specifications for units of measure, quantity kind, dimensions and data types.
SSSOM is a Simple Standard for Sharing Ontological Mappings, providing - a TSV-based representation for ontology term mappings - a comprehensive set of standard metadata elements to describe mappings and - a standard translation between the TSV and the Web Ontology Language (OWL). Most metadata elements, such as "sssom:mapping_justification" are defined in the sssom namespace.
An issue on the UBERON GitHub Issue tracker
A vocabulary for describing semantic assets, defined as highly reusable metadata (e.g. XML1 schemata, generic data models) and reference data (e.g. code lists, taxonomies, dictionaries, vocabularies).
A RDF vocabulary for OER content on the web.
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.
The Ontology of Immune Epitopes (ONTIE) is an effort to represent terms in the immunology domain in a formal ontology with the specific goal of representing experiments that identify and characterize immune epitopes.
A representation of variables appearing in models in the environmental research space.
The Chromosome Ontology is an automatically derived ontology of chromosomes and chromosome parts.
The Simplified Upper Level Ontology (SULO) is ontology with a minimal set of classes and relations to guide the development of a personal health knowledge graph. [from homepage]
An ontology demonstrating rich ontology for rubber extrusion.
BioTools is a registry of databases and software with tools, services, and workflows for biological and biomedical research.
IDPO is used to describe structural aspects of an IDP/IDR, self-functions and functions directly associated with their disordered state. GO is used to describe functional aspects of an IDP/IDR.
The HGVS Nomenclature is an internationally-recognized standard for the description of DNA, RNA and protein sequence variants. It is used to convey variants in clinical reports and to share variants in publications and databases. The HGVS Nomenclature is administered by the [HGVS Variant Nomenclature Committee (HVNC)](https://hgvs-nomenclature.org/stable/hvnc/) under the auspices of the [Human Genome Organization (HUGO)](https://hugo-int.org/).
The EVORAO Ontology provides a structured and harmonized vocabulary for describing shareable pathogens as characterized biological materials, along with their derived products and associated services, organized into collections. Developed within the EVORA project, it supports consistent metadata annotation across research infrastructures, promoting findability, accessibility, interoperability, and reusability (FAIR). By aligning with relevant standards and ontologies, EVORAO facilitates cross-domain collaboration, integration, and sharing of pathogenic resources and services to enhance pandemic preparedness and response. While initially focused on virology, EVORAO is designed to be extensible and also supports metadata harmonization for other pathogens. [from repository]
Ontology describing a controlled vocabulary for taxon ranks.
A mid-level ontology for representing metadata related to NFDI resources, including individuals, organizations, projects, data portals, and more
The submission-centric metadata schema for the German Human Genome-Phenome Archive (GHGA).
The primary goal of this ontology is to standardize the representation of molecular simulation data, processes, and methodologies across disparate simulation platforms, engines (e.g., GROMACS, AMBER, NAMD), and analysis tools, while ensuring these terms are interoperable with existing life sciences ontologies
An extension of Schema.org to annotate metadata on software projects
An issue on the Vertebrate Breed Ontology GitHub issue tracker
The EMI ontology is used to structure spectrum annotation provenance by reusing the PROV-O ontology (a W3C recommendation) and sample and observation data by applying the SOSA ontology. EMI reuses the SOSA ontology as a data schema for struturing the Sample and Observation data. SOSA (Sensor, Observation, Sample, and Actuator) is a subset of SSN (Semantic Sensor Network Ontology) that is a W3C recommendation. [from homepage]
The Context and Measurement Ontology (COMO) contains ontological terms to describe the context for various types of experimental data and measurements. It is useful in its current state for several different environmental microbiology projects. This ontology is used in multiple CORAL (Contextual Ontology-based Repository Analysis Library) deployments.
An issue on the Information Artifact Ontology GitHub issue tracker
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)
The Livestock Product Trait Ontology (LPT) is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to products produced by or obtained from the body of an agricultural animal or bird maintained for use and profit.
A list of values for class levels. Created in the context of the OpenEduHub
EPOS-DCAT-AP is an extension of the DCAT Application Profile for Research Infrastructures in Environmental and the solid-Earth domains.
An EMMO-based domain ontology for atomistic and electronic modelling.
Ontology, part of the SI Reference Point, covering measurement units (SI base units and SI units with special names) and prefixes.
The Graphic Descriptor Ontology (GDO) is intended for use in describing graphics that represent the form of objects. It uses the language of visual communication, illustration, and technical drawing. The GDO is rooted in the Basic Formal Ontology (BFO) and uses several classes from the Information Entity Ontology of the Common Core Ontologies as a mid-level ontology. [from https://gdo.endlessforms.info/about]