Skip to main content
. Author manuscript; available in PMC: 2018 Jul 20.
Published in final edited form as: Quant Biol. 2017 Nov 12;5(4):291–301.

Figure 1. General modeling of vaccine immune response study and data analysis using VO and OBCS.

Figure 1

Ontology terms are indicated by using ontology name abbreviations as prefix (IAO: Information Artifact Ontology, OBCS: Ontology for Biological and Clinical Statistics, OBI: Ontology for Biomedical Investigations, PATO: Phenotypic quality, VO: Vaccine Ontology). Relations are italicized. The terms inside red, blue, and black boxes represent planned processes, material entities, and information content entity/ role/function, respectively. The two datasets (located on the left and right side the figure) are generated, each associated with one experimental condition (i.e., prior to or post vaccination).