Papers: 10.1007/s11306-019-1588-0
https://doi.org/10.1007/s11306-019-1588-0
Toward collaborative open data science in metabolomics using Jupyter Notebooks and cloud computing
Cited by: 55
Author(s): Kevin Mendez, Leighton Pritchard, Stacey N. Reinke, David Broadhurst
Published: almost 6 years ago
Software Mentions 3
Very Likely Science (79)
pypi: BitBucket
Papers that mentioned: 40
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pypi: cimcb-lite
A lite version of the cimcb package containing the necessary tools for the statistical analysis of untargeted and targeted metabolomics data.Papers that mentioned: 1
Very Likely Science (75)