Strongs Greek-English Glossary

This Strongs Greek-English Glossary has been generated based on “Lexical Form” glosses and Strong’s number assignment from the Lexham Greek-English Interlinear New Testament, available from Logos Bible Software ( Lexical Form glosses are general and relatively context-free; they are not formal definitions. While they serve some use for quick and easy lookup, if one is studying a particular word or word usage, one should further consult a formal Greek-English dictionary or lexicon.

Controlled Health Thesaurus

"CDC’s Thesaurus is structured around preferred concepts, sourced whenever possible from standard vocabularies, with their associated properties (metadata) in a polyhierarchical framework. The preferred concept bacillus anthracis, for example, has defined associations to the concept Anthrax (the disease caused by the target organism) and to the concept Anthrax vaccines (the prevention for the disease). This organism term is 'treed' in the polyhierarchy as both a soilborne bacillus organism and as a biological agent.

Statistical Terminology

"It is not unusual for students to forget important concepts learned in an earlier course. This set of definitions is intended to stir memories of those wonderful times when you were learning statistics and econometrics. It is not intended to replace a statistics course but to provide you with a handy guide to the definition of some important terms in the statistical tools used by economists."

Glycomics Ontology

"The Glycomics Ontology (GlycO) focuses on the glycoproteomics domain to model the structure and functions of glycans and glycoconjugates, the enzymes involved in their biosynthesis and modification, and the metabolic pathways in which they participate. GlycO is intended to provide both a schema and a sufficiently large knowledge base, which will allow classification of concepts commonly encountered in the field of glycobiology in order to facilitate automated reasoning and information analysis in this domain.

Bioinformatics Web Services Ontology

"The Bioinformatics Web Services ontology (OBIws) is an ontology that extends the Ontology for Biomedical Investigations (OBI) to build an Ontology that supports consistent annotation of Bioinformatics Web services. We also consider reuse of terms available from the EMBRACE Data And Methods (EDAM) ontology. We follow a systematic methodology for enriching OBI with terms to support Web service Annotation. This process involves the design of ontology analysis diagrams for Web services and their subsequent analysis to discover terms that need to be added to the ontology.