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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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The Vaccine Adjuvant Compendium (VAC) was established in 2020 by the NIAID Division of Allergy, Immunology, and Transplantation to foster collaborations between NIAID-supported adjuvant researchers and the broader scientific community. The VAC displays adjuvant characteristics or metadata defined through NIAID-supported adjuvant studies to help vaccine developers identify suitable adjuvants for various vaccine indications, including immune-mediated and infectious diseases. In addition, the VAC welcomes the inclusion of adjuvant metadata generated by other research programs.
The National Drug File (NDF) is produced by the U.S. Department of Veterans Affairs, Veterans Health Administration (VHA). NDF is a centrally maintained electronic drug list used by the VHA hospitals and clinics. Facilities use the NDF to check drug interactions, to manage orders, and to send outpatient prescriptions to regional automated mail-out pharmacies. NDF includes information on clinical drugs, drug classes, ingredients and National Drug Code (NDC) Directory codes.
This document describes a vocabulary for annotating descriptions of vocabularies with examples and usage notes.
An identifier for an organization
vCard is a specification developed by the Internet Engineering Task Force (IETF) for the description of people and organisations
Biomaterial supply resource which collects, maintains, and distributes independent transgenic fly lines. Most of the 38,000 fly lines are RNAi lines, but VDRC also maintains a collection of enhancer-GAL4 driver lines. Nearly all lines are in duplicate. Users can search for the stocks or DNA constructs for the gene of interest by entering CG number, synonym, or Transformant ID. [from RRID]
A repository for high-quality gene models produced by the manual annotation of vertebrate genomes.
The Veterinary Nomenclature (VeNom) is a standard set of clinical veterinary terms for use in referral veterinary hospital electronic patient records and first opinion veterinary practice management systems.
VOAF is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies) used in the Linked Data Cloud. In particular it provides properties expressing the different ways such vocabularies can rely on, extend, specify, annotate or otherwise link to each other. It relies itself on Dublin Core and voiD. The name of the vocabulary makes an explicit reference to FOAF because VOAF can be used to define networks of vocabularies in a way similar to the one FOAF is used to define networks of people. [from homepage]
The Vocabulary of Interlinked Datasets (VoID) is an RDF Schema vocabulary for expressing metadata about RDF datasets. It is intended as a bridge between the publishers and users of RDF data, with applications ranging from data discovery to cataloging and archiving of datasets. This document provides a formal definition of the new RDF classes and properties introduced for VoID. It is a companion to the main specification document for VoID, Describing Linked Datasets with the VoID Vocabulary.
This vocabulary was created in the FOAF project, based on experience with FOAF, Dublin Core and other early RDF vocabularies. Deployment experience shows that changing namespace URIs is expensive and unrewarding, so this vocabulary provides terms to support in-place evolution of structured data vocabularies. By indicating status at the level of terms rather than vocabularies, dictionary-style, fine grained improvements become easier. Different organizations and parties can agree or disagree on the status of a vocabulary term; however the status published alongside the term may deserve special attention. Future work could include patterns for citing announcements and decisions, or using SKOS to decentralise the extension of the basic status levels. (from artifact)
Veterinary pharmaceuticals are biologically active and potentially persistent substances which are recognised as a continuing threat to environmental quality. Whilst the environmental risk of agricultural pesticides has had considerable attention in recent decades, risks assessments for veterinary pharmaceuticals have only relatively recently began to be addressed. Risk assessments and risk modelling tend to be inherently data hungry processes and one of the main obstacles to consistent, accurate and efficient assessments is the need for a reliable, quality and comprehensive data source.
an ontology for vector surveillance and management, focusing on arthropod vectors and vector-borne pathogens with relevance to humans or domestic animals, and with special emphasis on content to support operational activities through inclusion in databases, data management systems, or decision support systems.
The Vital Sign Ontology (VSO) is an extension of the Ontology for General Medical Science (OGMS). VSO covers the four consensus human vital signs: blood pressure, body temperature, respiration rate, pulse rate. VSO provides also a controlled structured vocabulary for describing vital signs measurement data, the various processes of measuring vital signs, and the various devices and anatomical entities participating in such measurements.