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MolNetInvert: A Tool for Creating Metadata Based Molecular Networks and Their Applications in Large Microbial Datasets

By Johan Christiansen and others at
LogoTechnical University of Denmark
Untargeted mass spectrometry-based metabolomics, crucial in diverse research areas such as clinical diagnostics and chemical ecology, often encounters the challenge of interpreting complex datasets with thousands of unique, low-annotation-rate features. Advancements in MS2-based molecular networking, particularly Feature-Based Molecular Networking and its offshoots, have improved data deconvolution and annotation. Although this... Show more
July 8, 2024
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MolNetInvert: A Tool for Creating Metadata Based Molecular Networks and Their Applications in Large Microbial Datasets
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