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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The Data Privacy Vocabulary provides an ontology (classes and properties) and taxonomies of concepts to represent information regarding how personal data is processed in the form of an ontology or a knowledge graph.

Identifiers repesent antimicrobial peptides in the Data Repository of Antimicrobial Peptides (DRAMP) database which is an open-access, manually curated database of antimicrobial peptides (AMPs).

Dutch Research Council file numbers are used for approved grants.

The German Clinical Trials Register (DRKS) is the German WHO primary registry. It is competent for the registration of all patient-oriented clinical trials conducted in Germany. The DRKS now contains well over 14,000 studies. Currently, around 2,000 studies are added annually. (from website)

Close to 5K Categorizations for drugs, similar to ATCC.

Indications and other conditions in drugbank

Reactions in drugbank

DrugBank is a web-enabled database containing comprehensive molecular information about drugs, their mechanisms, their interactions and their targets.

DrugCentral provides information on active ingredients chemical entities, pharmaceutical products, drug mode of action, indications, pharmacologic action.

A terminology published by the American Psychiatric Association (APA) for the classification of mental disorders using a common language and standard criteria. [wikipedia]

A terminology published by the American Psychiatric Association (APA) for the classification of mental disorders using a common language and standard criteria. [wikipedia]

The Leibniz Institute DSMZ is the most diverse biological resource center in the world and one of the largest collections of microorganisms and cell cultures worldwide (bacteria, archaea, protists, yeasts, fungi, bacteriophages, plant viruses, genomic bacterial DNA as well as human and animal cell lines). The following designations are used as part of local unique identifiers: - `PC`: positive control - `NC`: negative control - `AS`: antiserum - `PV`: plant viruses - `RT`: recommended test - `ACC`: human or animal cell line - `DSM`: microorganism cell line

The Data Science Ontology is a research project of IBM Research AI and Stanford University Statistics. Its long-term objective is to improve the efficiency and transparency of collaborative, data-driven science.

Darwin Core is a vocabulary standard for transmitting information about biodiversity. This document lists all terms in namespaces currently used in the vocabulary.

Discovery tool for biomedical research resources available at institutions throughout the U.S.

EARL is a vocabulary, the terms of which are defined across a set of specifications and technical notes, and that is used to describe test results. The primary motivation for developing this vocabulary is to facilitate the exchange of test results between Web accessibility evaluation tools in a vendor-neutral and platform-independent format. It also provides reusable terms for generic quality assurance and validation purposes. [from homepage]

This ontology defines a taxonomy of software functions based on the work of the NSF-funded EarthCube Resource Registry working group. The functions are generally organized by their role in the research process.

Conferences in EasyChair

Call for paper topics in EasyChair

The Enzyme Nomenclature (also known as the Enzyme Commission Code) is a species-agnostic controlled vocabulary for specific enzymes and an associated hierarchical classification into 7 main categories. The Enzyme Nomenclature is maintained by the [Nomenclature Committee](https://iubmb.org/about/committees/nomenclature-committee/) of the International Union of Biochemistry and Molecular Biology (IUBMB). A detailed history of the nomenclature since the 1950s can be found [here](https://iubmb.qmul.ac.uk/enzyme/history.html). There are few notable resources providing access to the Enzyme Nomenclature: <table class="table table-striped"><thead><tr><th>Website</th><th>Homepage</td><th>Notes</td></tr></thead><tbody><tr><td>ExplorEnz</td><td><a href="https://www.enzyme-database.org">https://www.enzyme-database.org</a></td><td>This is the resource officially recommended by IUBMB</td></tr><tr><td>IUBMB (via by Queen Mary)</td><td><a href="https://iubmb.qmul.ac.uk/enzyme">https://iubmb.qmul.ac.uk/enzyme</a></td><td>This is a web-based version of the <a href="https://archive.org/details/enzymenomenclatu0000inte_d6c2">1992 publication</a>.</td></tr><tr><td>IntEnz</td><td><a href="https://www.ebi.ac.uk/intenz">https://www.ebi.ac.uk/intenz</a></td><td>Shutdown in 2024</td></tr><tr><td>ExPaSy</td><td><a href="https://enzyme.expasy.org">https://enzyme.expasy.org</a></td></tr><tr><td>EnzymePortal</td><td><a href="https://www.ebi.ac.uk/enzymeportal">https://www.ebi.ac.uk/enzymeportal</a></td><td></td></tr></tbody></table>

The European Collection of Authenticated Cell Cultures (ECACC) is one of four Culture Collections of Public Health England. We supply authenticated and quality controlled cell lines, nucleic acids and induced Pluripotent Stem Cells (iPSCs).

The Electrocardiography (ECG) Ontology is a Driving Biological Project of the NCBO. The ECG Ontology will contain terms for describing electrocardiograms, their capture method(s) and their waveforms.

Echinobase supports the international research community by providing a centralized, integrated and easy to use web based resource to access the diverse and rich, functional genomics data of echinoderm species.

The ECMDB is an expertly curated database containing extensive metabolomic data and metabolic pathway diagrams about Escherichia coli (strain K12, MG1655). This database includes significant quantities of “original” data compiled by members of the Wishart laboratory as well as additional material derived from hundreds of textbooks, scientific journals, metabolic reconstructions and other electronic databases. Each metabolite is linked to more than 100 data fields describing the compound, its ontology, physical properties, reactions, pathways, references, external links and associated proteins or enzymes.

EcoCyc is a scientific database for the bacterium Escherichia coli K-12 MG1655. The EcoCyc project performs literature-based curation of its genome, and of transcriptional regulation, transporters, and metabolic pathways.

EcoLexicon represents the conceptual structure of the specialized domain of the Environment in the form of a visual thesaurus. This thesaurus has been elaborated according to the theoretical premises of Frame-Based Terminology.