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ABSTRACT: Background
Soil and sediment microorganisms are highly phylogenetically diverse but are currently largely under-represented in public molecular databases. Their functional characterization by means of metaproteomics is usually performed using metagenomic sequences acquired for the same sample. However, such hugely diverse metagenomic datasets are difficult to assemble; in parallel, theoretical proteomes from isolates available in generic databases are of high quality. Both these factors advocate for the use of theoretical proteomes in metaproteomics interpretation pipelines. Here, we examined a number of database construction strategies with a view to increasing the outputs of metaproteomics studies performed on soil samples.Results
The number of peptide-spectrum matches wa
SUBMITTER: Jouffret V
PROVIDER: S-EPMC8482631 | biostudies-literature | 2021 Sep
REPOSITORIES: biostudies-literature