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http://wiki.c2b2.columbia.edu/honiglab_public/index.php/Software:DelPhi

DelPhi provides numerical solutions to the Poisson-Boltzmann equation (both linear and nonlinear form) for molecules of arbitrary shape and charge distribution. The current version is fast, accurate, and can handle extremely high lattice dimensions. It also includes flexible features for assigning different dielectric constants to different regions of space and treating systems containing mixed salt solutions. DelPhi takes as input a coordinate file format of a molecule or equivalent data for geometrical objects and/or charge distributions and calculates the electrostatic potential in and around the system, using a finite difference solution to the Poisson-Boltzmann equation. DelPhi is a versatile electrostatics simulation program that can be used to investigate electrostatic fields in a variety of molecular systems. Features of DelPhi include solutions to mixtures of salts of different valence; solutions to different dielectric constants to different regions of space; and estimation of the best relaxation parameter at run time.

Proper citation: DelPhi (RRID:SCR_008669) Copy   

•   Source: SciCrunch Registry

http://human-phenotype-ontology.github.io/

The Disease Ontology group has developed a set of standard representations of phenotypes associated with diseases useful in bioinformatics applications. These are formalized into an ontological structure and are encoded in OWL. Neurodegenerative diseases have a wide and complex range of biological and clinical symptoms. While neurodegenerative diseases share many pathological features in common, they also contain unique signatures. Animal models of these disorders are key to translational research. However, animal models typically replicate only a subset of disease features or display features that are only indirectly related to a given disorder, whose relationship to the human condition may be across several diseases. Matching animal models to human diseases is therefore a significant informatics challenge. We have been working to develop ontologies that capture essential features of neurodegenerative diseases and associated animal models in a way that allows more flexible matching of animal models to human disorders and in a way that makes explicit commonalities and differences among animal models and human neurodegenerative disease. Creating ontologies for diseases and disorders is a very challenging task (Gupta et al., 2003) because of the complexity of the disorders and because of the limitations of current ontology formalisms. In order to simplify the approach and make it practical for use in information systems, we have focused on formal descriptions of phenotypes associated with diseases and animal models rather than on a formal model of the disease process itself. We employ the modular ontologies developed as part of the Neuroscience Information Framework (NIF: http://nif.nih.gov) and the Phenotype and Trait Ontology (PATO), an ontology of qualities associated with biological phenotypes, to create a flexible template for creating phenotypic statements at the class and instance levels. We show how these phenotypes can be used to look for commonalities across multiple neurodegenerative conditions and animal models.

Proper citation: Disease Phenotype Ontology (RRID:SCR_008687) Copy   

•   Source: SciCrunch Registry

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

An ontology of biodiversity of INPA

Proper citation: Biodiversity Ontology (RRID:SCR_010204) Copy   

•   Source: SciCrunch Registry

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

An application ontology for the domain of gene expression. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, KEGG and orthology relations.

Proper citation: Gene Expression Ontology (RRID:SCR_010326) Copy   

•   Source: SciCrunch Registry

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

A top-level ontology integrating objects and processes.

Proper citation: General Formal Ontology (RRID:SCR_010328) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/GFO-BIO

A biological core ontology built on the General Formal Ontology.

Proper citation: General Formal Ontology for Biology (RRID:SCR_010329) Copy   

•   Source: SciCrunch Registry

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

Ontology that characterizes the state of current thought in cognitive science. It defines a set of mental concepts along with a set of mental tasks, and the measurement relations between those classes.

Proper citation: Cognitive Atlas Ontology (RRID:SCR_010295) Copy   

•   Source: SciCrunch Registry

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

A coding system for reporting adverse events that occur in the course of cancer therapy. It was derived from the Common Toxicity Criteria (CTC) v2.0 and is maintained by the Cancer Therapy Evaluation Program (CTEP) at the National Cancer Institution (NCI).

Proper citation: Common Terminology Criteria for Adverse Events (RRID:SCR_010296) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/apps/mediawiki/cdao/

A formalization of concepts and relations relevant to evolutionary comparative analysis, such as phylogenetic trees, OTUs (operational taxonomic units) and compared characters (including molecular characters as well as other types). CDAO is being developed by scientists in biology, evolution, and computer science

Proper citation: Comparative Data Analysis Ontology (RRID:SCR_010297) Copy   

•   Source: SciCrunch Registry

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

Ontology to define the abstract division of the total genetic information of an organism by its physical separation into different components, thereby providing a high level reference point to which more specific descriptions of the characteristics of these components can be linked.

Proper citation: Genome Component Ontology (RRID:SCR_010330) Copy   

•   Source: SciCrunch Registry

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

Categories and terms used to classify content (documents, images, etc) in electronic content repositories for life science / BioPharma. Initial version contains content model for use with clinical trial electronic Trial Master Files or eTMF archives. A Content model contains content classification categories (classes) and metadata properties (data properties). Data properties should be assigned to each Content Type. Recent changes include: addition of electronic signature support, medical imaging classifications.

Proper citation: Content Archive Resource Exchange Lexicon (RRID:SCR_010298) Copy   

•   Source: SciCrunch Registry

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

A structured controlled vocabulary of the anatomy of Amphibians. Note that AAO is currently being integrated into Uberon.

Proper citation: Amphibian Gross Anatomy Ontology (RRID:SCR_010291) Copy   

•   Source: SciCrunch Registry

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

A core ontology consistent with a metamodel (disorders and groups of disorders, genes, clinical signs and their relations) and an instantiation of this metamodel with Orphanet Data (available on http://orphadata.org). Research experiments demonstrated (i) efficient classifications generation based on SPARQL Construct, (ii) perspectives in semantic audit of a knowledge base, (iii) semantic comparison with OMIM (www.omim.org) using proximity measurements and (iv) opened perspectives in knowledge sharing (LORD, http://lord.bndmr.fr). Current production services of Orphanet developed ORDO, released in 2014, an ontology synchronized with their production database.

Proper citation: Disease core ontology applied to Rare Diseases (RRID:SCR_010308) Copy   

•   Source: SciCrunch Registry

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

Metathesaurus of current procedural terminalogy (CPT).

Proper citation: Current Procedural Terminalogy Hierarchy (RRID:SCR_010300) Copy   

•   Source: SciCrunch Registry

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

An ontology for dengue fever.

Proper citation: Dengue Fever Ontology (RRID:SCR_010304) Copy   

•   Source: SciCrunch Registry

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

A standardized terminology of dermatologic diagnoses, therapies, procedures, and laboratory tests.

Proper citation: Dermatology Lexicon (RRID:SCR_010305) Copy   

•   Source: SciCrunch Registry

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

Diagnosis ontology of clinical care classification.

Proper citation: Diagnosis Ontology of Clinical Care Classification (RRID:SCR_010306) Copy   

•   Source: SciCrunch Registry

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

Ontology that relates concepts and terminologies used for human nutrition in a clinical and biomedical setting.

Proper citation: Bionutrition Ontology (RRID:SCR_010272) Copy   

•   Source: SciCrunch Registry

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

A top-domain ontology that provides definitions for the foundational entities of biomedicine as a basic vocabulary to unambiguously describe facts in this domain. It can furthermore serve as top-level model for creating new ontologies for more specific domains or as aid for aligning or improving existing ones.

Proper citation: BioTop Ontology (RRID:SCR_010039) Copy   

•   Source: SciCrunch Registry

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

A set of 1,437 eligibility features that were organized into a feature hierarchy using 80 breast cancer trials.

Proper citation: Eligibility Feature Hierarchy (RRID:SCR_010314) Copy   

•   Source: SciCrunch Registry