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The National Microbiome Data Collaborative: improving metaproteomics methods and processing capabilities


EMSL Project ID
61033

Abstract

We will improve and streamline the metaproteomics analysis workflow used by both EMSL and the NMDC. Generating gold-standard proteomics data will support algorithmic improvements for the inference of protein presence and abundance from peptide-level mass spectrometry data, streamlining the metagenome curation prior to proteomics data processing will constrain the search space used for peak matching, and using observed spectra to train a machine learning model will enable genome reference-free metaproteomics.

Project Details

Start Date
2023-10-20
End Date
N/A
Status
Active

Team

Principal Investigator

Paul Piehowski
Institution
Environmental Molecular Sciences Laboratory

Co-Investigator(s)

Lee Ann McCue
Institution
Environmental Molecular Sciences Laboratory

Team Members

Yuri Eberlim de Corilo
Institution
Environmental Molecular Sciences Laboratory

Samuel Purvine
Institution
Environmental Molecular Sciences Laboratory