Mitchell, J. M., Chi, Y., Thapa, M., Pang, Z., Xia, J., & Li, S. (2024). Common data models to streamline metabolomics processing and annotation, and implementation in a Python pipeline. Faculty Research 2024. https://doi.org/10.1371/journal.pcbi.1011912

MITCHELL, Joshua M, CHI, Yuanye, THAPA, Maheshwor, PANG, Zhiqiang, XIA, Jianguo und LI, Shuzhao, 2024. Common data models to streamline metabolomics processing and annotation, and implementation in a Python pipeline. Faculty Research 2024. 1 Januar 2024. DOI 10.1371/journal.pcbi.1011912.

Mitchell, J. M., Y. Chi, M. Thapa, Z. Pang, J. Xia, und S. Li. „Common Data Models to Streamline Metabolomics Processing and Annotation, and Implementation in a Python Pipeline.“. Faculty Research 2024, Januar 2024, https://doi.org/10.1371/journal.pcbi.1011912.

Mitchell, Joshua M/Chi, Yuanye/Thapa, Maheshwor/Pang, Zhiqiang/Xia, Jianguo/Li, Shuzhao: Common data models to streamline metabolomics processing and annotation, and implementation in a Python pipeline., Faculty Research 2024 2024,

Mitchell, J.M., Chi, Y., Thapa, M., Pang, Z., Xia, J. und Li, S. (2024), „Common data models to streamline metabolomics processing and annotation, and implementation in a Python pipeline.“, Faculty Research 2024, verfügbar unter:https://doi.org/10.1371/journal.pcbi.1011912.