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Cross-domain directory aggregating tools, AI models, datasets, and research resources from bio.tools, Bioconductor, HuggingFace, curated GitHub awesome-lists, and more.

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A controlled vocabulary to support the study of transcription in the developing mouse brain

The Diseases Database is a cross-referenced index of human disease, medications, symptoms, signs, abnormal investigation findings etc. This site provides a medical textbook-like index and search portal covering areas including: internal medical disorders, symptoms and signs, congenital and inherited disorders, infectious diseases and organisms, drugs and medications, common haematology and biochemistry investigation abnormalities.

Legacy disease classes that later became MONDO

An ontology demonstrating rich ontology for rubber extrusion.

A resource for Dictyostelid discoideum (a soil-dwelling amoeba) genomics

DiabetesOmic is a multi-omics database designed to collect and analyze transcriptional regulatory information across five high-throughput sequencing modalities, including ChIP-seq, RNA-seq, ATAC-seq, scATAC-seq, and scRNA-seq. This database's identifiers each represent a single sample. It contains clinical complication annotations including diabetic nephropathy, retinopathy, and atherosclerosis to enhance translational relevance. It enables the identification of disease-associated regulatory elements, epigenetic modifications, and cell type-specific molecular signatures, providing valuable insights into the molecular mechanisms of diabetes and its complications.

A controlled vocabulary to support the study of transcription in the developing human brain

Organism supplier which collects Drosophila stocks from laboratories all over the world, maintains them, and provides them to researchers upon request. [from RRID]

The DevTox Project harmonizes the nomenclature used to describe developmental anomalies in laboratory animals, assists in the visual recognition of developmental anomalies with the aid of photographs, and provides a historical control database of developmental effects in laboratory animals.

A vocabulary of university course subjects

DermO is an ontology with broad coverage of the domain of dermatologic disease and we demonstrate here its utility for text mining and investigation of phenotypic relationships between dermatologic disorders

Cell lines used in the Dependency Map (DepMap). Highly related to CCLE Cells.

An ontology that provides a structured vocabulary for rhetorical elements within documents (e.g., Introduction, Discussion, Acknowledgements, Reference List, Figures, Appendix). It is imported by DoCO.

DEIMS-SDR (Dynamic Ecological Information Management System - Site and dataset registry) is an information management system powered by eLTER. It allows you to discover long-term ecosystem research sites around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR describes a wide range of sites, providing a wealth of information, including each site’s location, ecosystems, facilities, parameters measured and research themes. It is also possible to access a growing number of datasets and data products associated with the sites.

A repository for the TSV-based, decentralized, community-curated curation of terms, properties, and relations that get turned into OBO, OWL, and OBO Graph JSON.

Ddinter is a comprehensive, professional, and open-access database specific to drug-drug interactions. it provides abundant annotations for each ddi association including mechanism description, risk levels, management strategies, alternative medications, etc. to improve clinical decision-making and patient safety.

Ddinter is a comprehensive, professional, and open-access database specific to drug-drug interactions. it provides abundant annotations for each ddi association including mechanism description, risk levels, management strategies, alternative medications, etc. to improve clinical decision-making and patient safety.

A typology of methods used to translate data collection instruments, including questionnaires, individual questions, measurements, data capture flows, etc.