NCBImeta: efficient and comprehensive metadata retrieval from NCBI databases

Python Submitted 21 December 2019Published 03 February 2020
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Editor: @lpantano (all papers)
Reviewers: @coughls (all reviews), @druvus (all reviews)

Authors

Katherine Eaton (0000-0001-6862-7756)

Citation

Eaton, (2020). NCBImeta: efficient and comprehensive metadata retrieval from NCBI databases. Journal of Open Source Software, 5(46), 1990, https://doi.org/10.21105/joss.01990

@article{Eaton2020, doi = {10.21105/joss.01990}, url = {https://doi.org/10.21105/joss.01990}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {46}, pages = {1990}, author = {Katherine Eaton}, title = {NCBImeta: efficient and comprehensive metadata retrieval from NCBI databases}, journal = {Journal of Open Source Software} }
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bioinformatics genomics metadata NCBI SRA

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