Introduction | Getting started | Loading data | Cleaning data | Clustering of samples | Fitting dose-response curves | Model fit plotting | Further analysis | Annotation of data | Enrichment and network analysis

Introduction | Protein-centric analysis | Loading packages | Spectronaut | MaxQuant | Peptide-centric analysis/LiP-MS analysis | Skyline | Proteome Discoverer | Other search engines and software

Introduction | Structural data | Getting started | Loading data | Preparing data | Fetching structural information | Fetching atomic structural information | Fetching atomic structure prediction information from AlphaFold | AlphaFold domain predictions using the predicted aligned error (PAE) | ptsI domain prediction with graph_resolution = 1 | ptsI domain prediction with graph_resolution = 0.5 | Generation of structural contact maps | Mapping of amino acids, peptides or regions on 3D protein structures and predictions | 3D structure mapping in R using r3dmol | PyMOL | ChimeraX | Result | Mapping of amino acid scores

Introduction | protti | Getting started | Quality control | Coefficients of variation | Number of identifications (IDs) | Peptide types | Run intensities | Charge states | Missed cleavages | Sequence coverage | Peak width | Data completeness | Log2 Intensity distribution | Sample correlation | Principal component analysis (PCA) | Ranked intensity distribution | Additional QC functions

Introduction | How to use protti to analyse your data | Getting started | Data preparation | Log2 transformation, median normalisation and CV filtering | Remove non-proteotypic peptides | Fetching database information and assigning peptide types | Data analysis | Statistical hypothesis test | p-value distribution | Volcano plot | Barcode plot | Wood's plot | Peptide profile plots | Additional helpful functions