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Data · dataset · 2025

SEMQuant: A Computational Platform for Accurate and Comprehensive Quantitative Metaproteomics Analysis

Listed in ScienceDB

The mock community samples were artificially assembled microbial communities with known taxonomic composition and corresponding abundance, serving as ground-truth information.

Description

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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Where it is published

Catalogue records · 1

Topics

Inferred from text
Proteomics and metabolomics 79%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.3192611 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].anzsrc:field:310205enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (79%)
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title