Proteomics

Dataset Information

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PeakDecoder enables machine learning-based metabolite annotation and accurate profiling in multidimensional mass spectrometry measurements


ABSTRACT: Global proteomics datasets to study ash utilization by R. toruloides. PeakDecoder is a workflow for metabolite identification and accurate profiling in multidimensional LC-IM-MS-DIA measurements. It is available at https://github.com/EMSL-Computing/PeakDecoder

INSTRUMENT(S): Q Exactive Plus

ORGANISM(S): Rhodosporidium Toruloides Np11 (ncbitaxon:1130832)

SUBMITTER: Jon K Magnuson  

PROVIDER: MSV000091202 | MassIVE | Fri Feb 03 18:22:00 GMT 2023

REPOSITORIES: MassIVE

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Multidimensional measurements using state-of-the-art separations and mass spectrometry provide advantages in untargeted metabolomics analyses for studying biological and environmental bio-chemical processes. However, the lack of rapid analytical methods and robust algorithms for these heterogeneous data has limited its application. Here, we develop and evaluate a sensitive and high-throughput analytical and computational workflow to enable accurate metabolite profiling. Our workflow combines liq  ...[more]

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