Comments (2)
jpquast
commented on June 8, 2024
Hi Felipe, thanks a lot for your question and the praise!
Unfortunately, we have no TMT or iTRAQ specific analysis pipelines implemented at the moment. Of course you can still use some of our functions (mainly post analysis, e.g. GO enrichment, network analysis etc.) for labelled data but we do not have any specific functions for the purpose. At the moment I am not planing to implement any pipeline for labelled data as I am not very experienced with this.
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prvst
commented on June 8, 2024
Thanks
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Related Issues (20)
- qc_proteome_coverage: labels linked to wrong colors
- documentation calculate_protein_abundance()
- plot labels order
- calculate_protein_abundance() does not retain peptide column HOT 1
- peptide_profile_plot() should plot all samples
- peptide_profile_plot() missing plots HOT 1
- assign_missingness NA if one condition no results and other condition 3/4 samples
- Facetting plots in qc_sequence_coverage() HOT 1
- Partial output of fetch_uniprot.R HOT 1
- Query regarding the drc_4p_plot HOT 2
- 'Timeout is reached' in fetch_uniprot HOT 15
- `qc_sample_correlation()` always returns a plot HOT 1
- Dose response benchmarking data HOT 4
- Add ungroup to normalise function HOT 2
- Add grouping argument to `calculate_sequence_coverage()` HOT 1
- Styler package for GitHub Actions
- qc_sequence_coverage() HOT 2
- assign_missingness() variables are hard coded HOT 1
- fetch_kegg.R doesnt join dataframe correctly HOT 3
- GO enrichment, enrichment type HOT 1
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