Related Experiment Video
Updated: Nov 11, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
pmparser and PMDB: resources for large-scale, open studies of the biomedical literature
Joshua L Schoenbachler1, Jacob J Hughey1,2
1Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Abstract:
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 https://pmparser.hugheylab.org. PMDB is available in both PostgreSQL (DOI 10.5281/zenodo.4008109) and Google BigQuery (https://console.cloud.google.com/bigquery?project=pmdb-bq&d=pmdb).
Related Concept Videos
Genomics
Statistical Software for Data Analysis and Clinical Trials

