Published May 11, 2019 | Version 2.0.2
Software Open

Entrezpy: a Python library to dynamically interact with the NCBI Entrez databases

  • 1. The University of Sydney

Description

Entrezpy is a Python library that automates the querying and downloading of data from the Entrez databases at National Center for Biotechnology Information by interacting with E-Utilities. Entrezpy implements complex queries by automatically creating E-Utility parameters from the results obtained that can then be used directly in subsequent queries. Entrezpy also allows the user to cache and retrieve results locally, implements interactions with all Entrez databases as part of an analysis pipeline and adjusts parameters within an ongoing query or using prior results. Entrezpy’s modular design enables it to easily extend and adjust existing E-Utility functions.

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Additional details

Related works

Is referenced by
Journal article: 10.1093/bioinformatics/btz385 (DOI)

Funding

Australian Research Council
Australian Laureate Fellowships - Grant ID: FL170100022 FL170100022