Common data models to streamline metabolomics processing and annotation, and implementation in a Python pipeline.

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Title: Common data models to streamline metabolomics processing and annotation, and implementation in a Python pipeline.
Authors: Mitchell, Joshua M.1 (AUTHOR), Chi, Yuanye1 (AUTHOR), Thapa, Maheshwor1 (AUTHOR), Pang, Zhiqiang2 (AUTHOR), Xia, Jianguo2 (AUTHOR), Li, Shuzhao1,3 (AUTHOR) shuzhao.li@jax.org
Source: PLoS Computational Biology. 6/6/2024, Vol. 20 Issue 6, p1-16. 16p.
Database: Academic Search Ultimate
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  Data: Common data models to streamline metabolomics processing and annotation, and implementation in a Python pipeline.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 6/6/2024, Vol. 20 Issue 6, p1-16. 16p.
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        Value: 10.1371/journal.pcbi.1011912
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              Text: 6/6/2024
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