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 aim of DALIA project is to build a platform for learning material for Research Data Management (RDM) and Data Science. The platform is based on a knowledge graph. We introduce MoDalia, the base ontology of DALIA knowledge graph. Modalia inherits some modules from EduCOR. It includes also modelling of micro -credentials and certificates
Concept used by ModelDB, an accessible location for storing and efficiently retrieving computational neuroscience models.
An online database of inorganic compounds, MolBase was constructed by Dr Mark Winter of the University of Sheffield with input from undergraduate students.
MolBiC provides information about cell-based molecular bioactivities along with associated compounds, proteins and cell lines. This prefix maintains identifiers for cell lines used in assays measuring molecular bioactivity, linking them to associated compounds and proteins.
MolBiC provides information about cell-based molecular bioactivities along with associated compounds, proteins and cell lines. This prefix maintains identifiers for chemical compounds with experimentally validated bioactivity in cellular contexts.
MolBiC provides information about cell-based molecular bioactivities along with associated compounds, proteins and cell lines. This prefix maintains identifiers for proteins that serve as molecular targets in cell-based bioactivity measurements.
Identifiers correspond to molecular glue compounds in the MolGlueDB which is a free and open-access online database dedicated to the collection and integration of molecular glue compound information.
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
A hierarchical classifications of subjects in mathematics
The Molecular Signatures Database (MSigDB) is a collection of annotated gene sets for use with GSEA software. From this web site, you can
The Unified Medical Language System® (UMLS®) Metathesaurus (MTH) was developed and is maintained by the U.S. National Library of Medicine (NLM). MTH contains concept names, attributes, relationships, and other data that were created by NLM to facilitate construction of the UMLS Metathesaurus.
MultiCellDS is data standard for multicellular simulation, experimental, and clinical data. A digital cell line is a hierarchical organization of quantitative phenotype data for a single biological cell line, including the microenvironmental context of the measurements and essential metadata.
The CDC's National Center for Immunization and Respiratory Diseases ([NCIRD](https://www.cdc.gov/ncird/)) developed and maintains HL7 Table 0227, Manufacturers of Vaccines (MVX). It includes both active and inactive manufacturers of vaccines in the US. Inactive MVX codes allow transmission of historical immunization records. When [MVX code is paired with a CVX code](https://www2a.cdc.gov/vaccines/iis/iisstandards/vaccines.asp?rpt=tradename) (vaccine administered code), the specific trade named vaccine may be indicated.
The Human Metabolome Gene/Protein Database (MGP) of metabolome-related genes and proteins contains data for over 7300 genes and over 15,500 proteins. [from homepage]
The main objective of RefMet is to provide a standardized reference nomenclature for both discrete metabolite structures and metabolite species identified by spectroscopic techniques in metabolomics experiments. [from homepage]
The Metabolomics Workbench Metabolite Database contains structures and annotations of biologically relevant metabolites. As of 03/23/26, the database contains 175556 entries, collected from various public sources. [from homepage]
Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria leprae information.
An ARK resolver as well as resolver built with common prefixes as in Identifiers.org