Inspector Javert's Xref Database

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: <pre>pip install pyobo pyobo obo xrefs</pre> More information on this blog post: https://cthoyt.com/2020/04/19/inspector-javerts-xref-database.html.警长沙威（Inspector Javert）若能获取其在滨海蒙特勒伊（Montreuil-sur-Mer）遇到的所有人员的身份标识与囚犯数据库之间的交叉引用信息，便能轻松找到冉·阿让（Jean Valjean）——他仅需知晓编号24601！由于该数据集名称较长，可将其简称为IJXD。生物信息学领域亦存在同类问题，本数据集是由PyOBO从OBO Foundry及其他数据源提取的交叉引用数据库。它是一份经gzip压缩的五列TSV（制表符分隔值）文件，包含源命名空间、源标识符、目标命名空间、目标标识符与溯源信息。所有数据均经过归一化处理，可实现不同来源交叉引用的整合与遍历。该数据集通过以下Shell代码生成：<pre>pip install pyobo obo xrefs</pre> 更多详情可参阅此博文：https://cthoyt.com/2020/04/19/inspector-javerts-xref-database.html。