Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJEB19901
INSTRUMENT(S): Q Exactive
ORGANISM(S): Archaea Bacteria Viruses Eukaryota (eucaryotes)
SUBMITTER: Manuel Kleiner
LAB HEAD: Manuel Kleiner
PROVIDER: PXD006118 | Pride | 2017-05-12
REPOSITORIES: Pride
Action | DRS | |||
---|---|---|---|---|
C1_run3.msf | Msf | |||
C1_run3.pep.xml | Pepxml | |||
C1_run3_1000mM.raw | Raw | |||
C1_run3_100mM.raw | Raw | |||
C1_run3_10mM.raw | Raw |
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Nature communications 20171116 1
Microbial community structure can be analyzed by quantifying cell numbers or by quantifying biomass for individual populations. Methods for quantifying cell numbers are already available (e.g., fluorescence in situ hybridization, 16-S rRNA gene amplicon sequencing), yet high-throughput methods for assessing community structure in terms of biomass are lacking. Here we present metaproteomics-based methods for assessing microbial community structure using protein abundance as a measure for biomass ...[more]