Dataset Open Access
A Metabolomics unknown feature identification report industry standards from BioNovoGene corporation.
2019.08.16# at Suzhou, China
There is a general consensus that supports the need for standardized reporting of metadata or information describing large-scale metabolomics data sets. Reporting of standard metadata provides a biological and empirical context for the data, enables the reinterrogation and comparison of data by others, which is also could let us interpret the result in a more clearly way.
This article is mainly address at the unknown metabolite identification in LC-MS experiment, and proposes the reporting standards related to the chemical analysis aspects of metabolomics experiments its metabolite identification.
Some terms in this article that address to:
Our metabolite identification report consist with two parts of data which present to our user:
MetDIA: Targeted Metabolite Extraction of Multiplexed MS/MS Spectra Generated by Data-Independent Acquisition. DOI: 10.1021/acs.analchem.6b02122
KAAS: an automatic genome annotation and pathway reconstruction server. DOI: 10.1093/nar/gkm321