Mass spectrometry-based quantitative proteomics data can be representated as a matrix of quantitative values for features (PSMs, peptides, proteins) arranged along the rows, measured for a set of samples, arranged along the columns. The SummarizedExperiment and MultiAssayExperiment classes (Morgan et al. 2020) can handle such data. QFeatures is derived from MultiAssayExperiment.
This lesson assumes a working understanding of R.
This lesson assumes familiarity with proteomics data analysis.
The course is targeted to proteomics practitioners that would like to learn how to use R to analyse proteomics data.
Things You Need To Know
- Don’t panic.
- Everything is going to be fine.
- We are learning together.