Fig. 2
From: OmicsOne: associate omics data with phenotypes in one-click
The software operation process (including phenotype profiling, processing, data quality evaluation, and database annotation) taking the proteome and glycoproteome data of HGSOC as an example. A Phenotype profiling by interactive characterization of the population in different phenotypes. B Phenotype profiling by phenotype correlation for revealing dependencies among different phenotypes. C Box plots of expression values of all normalized samples in the proteome data set of HGSOC. D Data quality evaluation by correlation of QC samples in the proteome data set of HGSOC. E Data quality evaluation by a distribution of coefficient of variant (CV) values of features in three samples in the proteome data set of HGSOC. F Table of feature details of intact glycopeptide identified in the glycoproteome data set of HGSOC associated with linkage to the knowledge database of N-GlycositeAtlas