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In this first hackathon we start by looking at a simple spreadsheet with some minimal information. Actually, it is data from a recent publication by Labouta et al., where the authors made their data collection available under an Open license:
This spreadsheet shows a number of concepts and experimental data. We see nanomaterials, physicochemical properties, and a bit of biological assay data. We see that columns can be annotated (“all data in this column is particle sizes”) and we note that cell values may need annotation (such as the cell lines).
The data is available in two formats:
The purpose of this exercise is to see how BioPortal visualizes the eNanoMapper ontology. A detailed tutorial has been developed before.
Your task is to find the ontology term for JRCNM01000a, one of the JRC representative industrial nanomaterials (see [0]).
JRCNM01000a
When we look at the column headers, we see the following concepts:
In this part of the workshop, the annotation will result in written documentation: you just write down which ontologies term match which cells in the spreadsheet.
In this excercise your task is to find the ontology term for the concepts of the columns. It is suggested to first search in the eNanoMapper (ENM) ontology. If you cannot find a hit, go to the BioPortal front page and search in all ontologies.
Here are some examples searches and matches:
label
? It is not http://purl.obolibrary.org/obo/CHEBI_35209, which is reserved to chemical groups that are used as tracer, such as fluorescent groups. ‘Name’ is in the eNanoMapper ontology with IRI
http://ncicb.nci.nih.gov/xml/owl/EVS/Thesaurus.owl#C42614 and that is a good fit. Arguable, ‘molecular entity name’ is a better match, as it has more semantic meaning.size
? Particle size is http://purl.bioontology.org/ontology/npo#NPO_1694 but one should wonder what kind of particle size was meant here? How was it measured? What is the shape of the particle?article
? First, the label is slightlt misleading. The values in this column are not articles, but they are Digital Object Identifiers (DOIs). The closest match in ENM is ‘descriptor’: http://purl.enanomapper.org/onto/ENM_8000019 but the OBI has a specific term for DOi with IRI http://purl.obolibrary.org/obo/OBI_0002110 (found via the BioPortal front page search).Besides the columns themselves, we also noted that two columns have values which we may want to annotation. We see that the label and cell columns have values which we can find in ontologies too. The eNanoMapper and NanoParticle Ontologies will have terms for the nanomaterials, whereas the eNanoMapper ontology also has terms for the cell lines.
The procedure is the same as before.
Finally, the spreadsheet also lists a few units (mV, nm, h). It is left to the participant to look these up in ontologies. Here, the Units of Measurement Ontology (UO) might be useful.
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Copyright 2019-2020 (C) Egon Willighagen - CC-BY Int. 4.0