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Dataset Open Access

Inspector Javert's Xref Database

Charles Tapley Hoyt

Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:creator>Charles Tapley Hoyt</dc:creator>
<dc:date>2021-04-03</dc:date>
<dc:description>It would have been really useful for Inspector Javert to find Jean Valjean if he had the cross-references between the identifies of all of the people he met in Montreuil-sur-Mer to the prisoner database (all he needed was 24601!). Since this dataset has a long name, you can feel free to abbreviate it as IJXD.

We have the same problem in bioinformatics, so this is a database of cross-references extracted from OBO Foundry and other sources by PyOBO. It is a gzipped five-column TSV file that has source namespace, source identifier, target namespace, target identifier, and provenance. Each has been normalized so cross-references from different sources can be integrated and traversed.

It was generated with the following code in the shell:

pip install pyobo
pyobo obo xrefs

<dc:identifier>https://zenodo.org/record/4660685</dc:identifier>
<dc:identifier>10.5281/zenodo.4660685</dc:identifier>
<dc:identifier>oai:zenodo.org:4660685</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>doi:10.5281/zenodo.3757265</dc:relation>
<dc:relation>url:https://zenodo.org/communities/bioinformatics</dc:relation>
<dc:relation>url:https://zenodo.org/communities/isb</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:subject>Cross References</dc:subject>
<dc:subject>Ontologies</dc:subject>
<dc:subject>Namespaces</dc:subject>
<dc:title>Inspector Javert's Xref Database</dc:title>
<dc:type>info:eu-repo/semantics/other</dc:type>
<dc:type>dataset</dc:type>
</oai_dc:dc>

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