SEMQuant: A Computational Platform for Accurate and Comprehensive Quantitative Metaproteomics Analysis
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The mock community samples were artificially assembled microbial communities with known taxonomic composition and corresponding abundance, serving as ground-truth information. Using one such sample with known protein biomass for each species, we conducted a case study to evaluate SEMQuant’s contribution to microbial metaproteomic profiling.
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Bailu Zhang创建时间：
2025-11-17
