This report provides some basic description of the peptide identificaiton from database search. Users can use this to quickly check the overal quality of the experiment Users can download the clean peptide quantification matrix for downstream analysis
Number of contaminant: 27
Number of reversed: 52
Number of qualified peptides: 16313
Number of quailfied peptide without intensity information(0 intensities): 695
Number of experiment: 24
All experiments: Xu_MLIspin_test_B6, Xu_MLIspin_test_B7, Xu_MLIspin_test_B8, Xu_MLIspin_test_B9, Xu_MLIspin_test_C6, Xu_MLIspin_test_C7, Xu_MLIspin_test_C8, Xu_MLIspin_test_C9, Xu_MLIspin_test_D6, Xu_MLIspin_test_D7, Xu_MLIspin_test_D8, Xu_MLIspin_test_D9, Xu_MLIspin_test_E6, Xu_MLIspin_test_E7, Xu_MLIspin_test_E8, Xu_MLIspin_test_E9, Xu_MLIspin_test_F6, Xu_MLIspin_test_F7, Xu_MLIspin_test_F8, Xu_MLIspin_test_F9, Xu_MLIspin_test_G6, Xu_MLIspin_test_G7, Xu_MLIspin_test_G8, Xu_MLIspin_test_G9
Meta/grouping info provided: , group_A, group_B, group_C
In most cases, label-free quantification provides a decent way for metaproteomics profiling.
Presence of valid intensity across samples
Figure shows how many peptides have more than N presence, which helps to set the presence cutoff
Heatmap of Presence 100
## Scree plot ## shows the performance of the PCA analysis, the more percentage the top procomponets accounts, the better separation
## 2d PCA Component plot ##
## 2d PCA Component plot ## with confidence boundaries
## 2d PCA Component plot with K-means grouping, which is non-supervised grouping
Peptides with significiant(p < 0.05) change between any groups
The table is clean peptides expression table, with reversed and contaminant removed. The values are the LFQ(with label free quantification turned on) or raw protein intensity from Maxquant output. You can download/export and start from this table for downstream analysis using the (i)Metalab faminly apps.
The talbe can be further visualized by our shiny apps shiny.imetalab.ca