pmparser and PMDB: resources for large-scale, open studies of the biomedical literature.

pmparser and PMDB: resources for large-scale, open studies of the biomedical literature.
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pmparser和PMDB:生物医学文献的大规模开放研究资源。

DOI:
10.7717/peerj.11071
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发表时间:
2021
期刊:
影响因子:
2.7
通讯作者:
Hughey JJ
Hughey JJ
中科院分区:
生物学3区
文献类型:
--
作者:
Schoenbachler JL;Hughey JJ

文献摘要

参考文献

相似文献

PubMed是生物医学界的宝贵资源。虽然PubMed是免费提供的,但现有的API不是为大规模分析而设计的,底层数据的XML结构不便于进行复杂的查询。我们开发了一个名为pmparser的R包,将PubMed中的数据转换为关系数据库。我们的数据库实现称为PMDB,目前包含超过3100万个PubMed标识符(PMID)的数据,并定期更新。pmparser和PMDB一起可以对生物医学文献进行大规模、可重复和透明的分析。pmparser是在GPL-2下授权的,可以在。PMDB在PostgreSQL()和Google BigQuery()中都可用。
PubMed is an invaluable resource for the biomedical community. Although PubMed is freely available, the existing API is not designed for large-scale analyses and the XML structure of the underlying data is inconvenient for complex queries. We developed an R package called pmparser to convert the data in PubMed to a relational database. Our implementation of the database, called PMDB, currently contains data on over 31 million PubMed Identifiers (PMIDs) and is updated regularly. Together, pmparser and PMDB can enable large-scale, reproducible, and transparent analyses of the biomedical literature. pmparser is licensed under GPL-2 and available at . PMDB is available in both PostgreSQL () and Google BigQuery ().
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