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Communication Dans Un Congrès Année : 2021

Proposal of a decoy-free FDR approach suitable for metaproteomics.

Résumé

Accurate and fast evaluation of the False Discovery Rate (FDR) of spectra-to-peptide sequences inference is a difficult task in Metaproteomics, because the extra-large databases used are often largely incomplete and include numerous non-sample-specific sequences, particularly when using microbiota gene catalogs or generalist databases. The traditional approach relying on combined target-decoy databases doubles search time, decreases sensitivity because of a larger search space, and is often biased because of dataset-database inadequate matching. We propose a target-only FDR estimate based on a mixture-model of four beta distributions. We verified its efficiency on a set of 94 result datasets, including 26 metaproteomics searches, and a specific search with a controlled mismatching metaproteomics database. Based on these extensive results, we found this method to be adequate for FDR estimation at the Peptide-Spectrum Matches level for proteomics, proteogenomics, and metaproteomics searches.
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Dates et versions

hal-04467818 , version 1 (20-02-2024)

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  • HAL Id : hal-04467818 , version 1

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Olivier Pible, Virginie Jouffret, Karen Culotta, Jean Armengaud. Proposal of a decoy-free FDR approach suitable for metaproteomics.. 4th International Metaproteomics Symposium, Luxembourg Centre for Systems Biomedicine, Sep 2021, Luxemburg, Luxembourg. ⟨hal-04467818⟩
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