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protti

Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools

Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Feng et. al. (2014) ) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.

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Reference manual

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install.packages("protti")

0.2.0 by Jan-Philipp Quast, a month ago

https://github.com/jpquast/protti, https://jpquast.github.io/protti/

Report a bug at https://github.com/jpquast/protti/issues

Browse source code at https://github.com/cran/protti

Authors: Jan-Philipp Quast [aut, cre] , Dina Schuster [aut] , ETH Zurich [cph, fnd]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports rlang, dplyr, stringr, magrittr, data.table, janitor, progress, purrr, tidyr, ggplot2, forcats, tibble, plotly, ggrepel, utils, grDevices, curl, readr, lifecycle

Suggests testthat, covr, knitr, rmarkdown, proDA, limma, dendextend, pheatmap, heatmaply, viridis, iq, furrr, future, parallel, seriation, drc, httr, igraph, stringi, STRINGdb

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