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http://purl.bioontology.org/ontology/QUDT

Collection of ontologies that define the base classes properties, and restrictions used for modeling physical quantities, units of measure, and their dimensions in various measurement systems. The goal of the QUDT ontology is to provide a unified model of, measurable quantities, units for measuring different kinds of quantities, the numerical values of quantities in different units of measure and the data structures and data types used to store and manipulate these objects in software. This OWL schema is a foundation for a basic treatment of units.

Proper citation: QUDT (RRID:SCR_010416) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/OMIT

Ontology to establish data exchange standards and common data elements in the microRNA (miR) domain. Biologists (cell biologists in particular) and bioinformaticians can make use of OMIT to leverage emerging semantic technologies in knowledge acquisition and discovery for more effective identification of important roles performed by miRs in humans'' various diseases and biological processes (usually through miRs'' respective target genes). OMIT has reused and extended a set of well-established concepts from existing bio-ontologies, e.g., Gene Ontology, Sequence Ontology, Protein Ontology, NCBI Organism Taxonomy, Human Disease Ontology, Foundational Model of Anatomy, and so forth.

Proper citation: Ontology for MicroRNA Target Prediction (RRID:SCR_010387) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ROLEO

Ontology in the domain of role classification that aims to standardize role classification and support computer-assisted reasoning. RoleO is a community-based ontology, and its development follows the OBO Foundry principles.

Proper citation: Role Ontology (RRID:SCR_010420) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/IDO

Ontologies designed as a set of interoperable ontologies that will together provide coverage of the infectious disease domain. At the core of the set is a general Infectious Disease Ontology (IDO-Core) of entities relevant to both biomedical and clinical aspects of most infectious diseases. Sub-domain specific extensions of IDO-Core complete the set providing ontology coverage of entities relevant to specific pathogens or diseases. Please note: The ontology metrics displayed by BioPortal do not distinguish IDO-developed terms from terms imported from other ontologies.

Proper citation: Infectious Disease Ontology (RRID:SCR_010345) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ICECI

A system of classifications to enable systematic description of how injuries occur. It is designed especially to assist injury prevention. It was originally designed for use in settings in which information is recorded in a way that allows statistical reporting--for example, injury surveillance based on collection of information about cases attending a sample of hospital emergency departments. It has also been found useful for other purposes. For example, it has been used as a reference classification during revision of another classification, to record risk-factor exposure of children in a cohort study, as the basis for special-purpose classifications and in a growing number of other ways.

Proper citation: International Classification of External Causes of Injuries (RRID:SCR_010348) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ICD10CM

Ontology of the International Classification of Diseases, 10th Edition, Clinical Modification, 2011_01

Proper citation: International Classification of Diseases Version 10 - Clinical Modification (RRID:SCR_010350) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/ZEA

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 23, 2014. Description not available.

Proper citation: Maize Gross Anatomy Ontology (RRID:SCR_010353) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/MHC

Ontology that contains terms necessary for describing and categorizing concepts related to Major Histocompatibility Complex, in general, for a number of model species, and also for humans.

Proper citation: Major Histocompatibility Complex Ontology (RRID:SCR_010354) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/MCCV

Structured controlled vocabulary for describing meta information of microbial calture collection maintained in biological research centers

Proper citation: Microbial Culture Collection Vocabulary (RRID:SCR_010361) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/MIXS

Ontology providing an RDF representation of the MIxS (Minimal Information about any Sequence) family of checklists.

Proper citation: Minimal Information about any Sequence Ontology (RRID:SCR_010364) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/NIFDYS

Ontology that contains the former BIRNLex-Disease, version 1.3.2. -- The BIRN Project lexicon provided entities for data and database annotation for the BIRN project, covering anatomy, disease, data collection, project management and experimental design. It was built using the organizational framework provided by the foundational Basic Formal Ontology (BFO). It used an abstract biomedical layer on top of that - OBO-UBO which was constructed as a proposal to the OBO Foundry. This was meant to support creating a sharable view of core biomedical objects such as biomaterial_entity, and organismal_entity that all biomedical ontologies are likely to need and want to use with the same intended meaning. The BIRNLex biomaterial entities have already been factored to separately maintained ontology - BIRNLexBiomaterialEntity.owl which this BIRNLex-Main.owl file imports. The Ontology of Biomedical Investigation (OBI) is also imported and forms the foundation for the formal description of all experiment-related artifacts. The BIRNLex will serve as the basis for construction of a formal ontology for the multiscale investigation of neurological disease.

Proper citation: NIF Dysfunction Ontlogy (RRID:SCR_010365) Copy   

•   Source: SciCrunch Registry

http://www.ucsf.edu/

Public research university in San Francisco, California. Part of University of California system. Dedicated entirely to health sciences. Major center of medical and biological research and teaching. Ranked as one of top universities in biomedical field in USA and around world.

Proper citation: University of California at San Francisco; California; USA (RRID:SCR_010605) Copy   

•   Source: SciCrunch Registry

http://htsvipr.sourceforge.net/

A software program to screen for sequence variants (SNPs, deletions) in sequence data generated by high-throughput-sequencing platforms.

Proper citation: vipR (RRID:SCR_010685) Copy   

•   Source: SciCrunch Registry

http://www.ifomis.org/

The Institute for Formal Ontology and Medical Information Science (IFOMIS) comprehends an interdisciplinary research group, with members from Philosophy, Computer and Information Science, Logic, Medicine, and Medical Informatics, focusing on theoretically grounded research in both formal and applied ontology. Its goal is to develop a formal ontology that will be applied and tested in the domain of medical and biomedical information science.

Proper citation: IFOMIS (RRID:SCR_010604) Copy   

•   Source: SciCrunch Registry

http://www.genome.umd.edu/masurca.html

A whole genome assembly software that combines the efficiency of the de Bruijn graph and Overlap-Layout-Consensus (OLC) approaches., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: MaSuRCA (RRID:SCR_010691) Copy   

•   Source: SciCrunch Registry

http://www.lifeextensionfoundation.org/

Established in 1980, the Life Extension Foundation is a nonprofit organization, whose long-range goal is to radically extend the healthy human lifespan by discovering scientific methods to control aging and eradicate disease. The largest organization of its kind in the world, the Life Extension Foundation has always been at the forefront of discovering new scientific breakthroughs for use in developing novel disease prevention and treatment protocols to improve the quality and length of human life. Through its private funding of research programs aimed at identifying and developing new therapies to slow and even reverse the aging process, the Life Extension Foundation seeks to reduce, and ultimately eliminate, such age-related killers as heart disease, stroke, cancer and Alzheimer''s disease. Long-time members are keenly aware of the scientific research that Life Extension Foundation funds to develop validated methods to slow and reverse the aging process. Less known is Life Extension''s multi-prong program to develop safer and more effective cancer therapies. One reason we focus so heavily on cancer research is that this dreaded disease represents a roadblock in our ability to develop effective means to combat aging.

Proper citation: Life Extension Foundation (RRID:SCR_010574) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.research.nicta.com.au/software/gossamer/

A software application for the de novo assembly of genomes from fragments of DNA that specifically attacks the question of scalability.

Proper citation: Gossamer (RRID:SCR_010612) Copy   

•   Source: SciCrunch Registry

http://neurolog.polytech.unice.fr/doku.php?id=neurolog

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. The NeuroLOG consortium is addressing: *Management and access of partly structured data, heterogeneous and distributed in an open environment. *Access control and protection of private medical data. *Control of workflows implied in complex computing process on grid infrastructures. *Extraction and quantification of relevant parameters for different pathologies: Multiple sclerosis, Brain Vascular Stroke, Brain tumors Four application pipelines have been proposed in the context of the project. The pipelines are formalized using the Scufl data flow language. *Multiple Sclerosis image analysis pipelines *Brain Stroke application pipeline (from GIN) *Stroke / tumours Anacom application pipeline (from IFR49) Different softwares developed and/or used in this project are presented., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: NeuroLOG (RRID:SCR_010582) Copy   

•   Source: SciCrunch Registry

http://www.plosone.org/article/info:doi%2F10.1371%2Fjournal.pone.0023501

An algorithm for de novo genome assembly with short paired-end reads.

Proper citation: Meraculous (RRID:SCR_010700) Copy   

•   Source: SciCrunch Registry

http://uberon.org

An integrated cross-species anatomy ontology representing a variety of entities classified according to traditional anatomical criteria such as structure, function and developmental lineage. The ontology includes comprehensive relationships to taxon-specific anatomical ontologies, allowing integration of functional, phenotype and expression data. Uberon consists of over 10000 classes (March 2014) representing structures that are shared across a variety of metazoans. The majority of these classes are chordate specific, and there is large bias towards model organisms and human.

Proper citation: UBERON (RRID:SCR_010668) Copy   

•   Source: SciCrunch Registry