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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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A vocabulary service for the social sciences, covering the Data Documentation Initiative (DDI) is an international standard for describing data produced by surveys and other observational methods in the social, behavioural, economic, and health sciences.
Names of organisations providing metadata for CESSDA Data Catalogue.
This vocabulary holds the definitions and descriptions of the collections included in the CESSDA Data Catalogue.
Lists the types of persistent identifiers that CESSDA accepts as study level PIDs in its data catalogue.
Nomenclature Consortium around Chicken genes (analogous to the HGNC for humans)
A assay in the ChemBioSys data platform
A dataset in the ChemBioSys data platform
An institution in the ChemBioSys data platform
An investigation in the ChemBioSys data platform
A model in the ChemBioSys data platform
An organism in the ChemBioSys data platform
A project in the ChemBioSys data platform
A publication in the ChemBioSys data platform
A strain in the ChemBioSys data platform
A study in the ChemBioSys data platform
A tag in the ChemBioSys data platform
This controlled vocabulary contains terms to describe the mechanism of action for a chemical-target interaction. The terms can be retrieved from ACTION_TYPE table in ChEMBL's SQL dump and are used to annotate the DRUG_MECHANISM table. Because these aren't really identifiers, they are transformed by lowercasing and replacing spaces with dashes to form 'identifiers'. The pattern in the Bioregistry record contains an enumeration of the 33 allowed values as of ChEMBL v35.
Tissues used to annotate cells and cell lines, cross-referenced to EFO, BTO, UBERON, and CALOHA
The Chemical Functional Ontology (ChemFOnt) is a hierarchical, OWL-compatible ontology describing the functions and actions of biologically important chemicals including primary metabolites, secondary metabolites, natural products, food chemicals, synthetic food additives, drugs, herbicides, pesticides and environmental chemicals. The identifiers in this semantic space correspond to individual chemicals.
The Chemical Functional Ontology (ChemFOnt) is a hierarchical, OWL-compatible ontology describing the functions and actions of biologically important chemicals including primary metabolites, secondary metabolites, natural products, food chemicals, synthetic food additives, drugs, herbicides, pesticides and environmental chemicals. The identifiers in this semantic space correspond to entries in the ChemFOnt ontology that are used to organize individual chemicals. Terms can be looked up using the following URL (https://www.chemfont.ca/ontology_browse/term_info/18), but not directly by ID
A hybrid chemical enyclopedia and supplier advertizing system for chemicals.
ChemPro is a database of chemoproteomic probes. This prefix provides identifiers for compounds that compete with probes for binding to target proteins.
ChemPro is a database of chemoproteomic probes. This prefix provides identifiers for chemoproteomic probes used to label human proteins in living cells.
ChemPro is a database of chemoproteomic probes. This prefix provides identifiers for human proteins that interact with chemoproteomic probes.
Established in 2005 by professor Wu Taixiang and Li Youping team, West China Hospital, Sichuan University, and the Ministry of Health of China assigned it to be the representative of China to join WHO ICTRP in 2007. The Chinese Clinical Trial Registry provides the services include register for trials, consultation for trial design, central randomization for an allocation sequence, peer review for draft articles and training for peer reviewers. (from website)
The CIDOC Conceptual Reference Model (CRM) is a theoretical and practical tool for information integration in the field of cultural heritage. It can help researchers, administrators and the public explore complex questions with regards to our past across diverse and dispersed datasets. The CIDOC CRM achieves this by providing definitions and a formal structure for describing the implicit and explicit concepts and relationships used in cultural heritage documentation and of general interest for the querying and exploration of such data. Such models are also known as formal ontologies. These formal descriptions allow the integration of data from multiple sources in a software and schema agnostic fashion. [from homepage]