All code and pipelines used to analyze and visualize proteomic data from my experiments with my first Crispr KO model
Differenticial expression analysis was performed with DEP package:
Zhang X, Smits A, van Tilburg G, Ovaa H, Huber W, Vermeulen M (2018). “Proteome-wide identification of ubiquitin interactions using UbIA-MS.” Nature Protocols, 13, 530–550.
Go-Terms analysis and data results visualizations was performed with Clusterprofiler and GOplot packages to R:
Yu G, Wang L, Han Y, He Q (2012). “clusterProfiler: an R package for comparing biological themes among gene clusters.” OMICS: A Journal of Integrative Biology, 16(5), 284-287. doi: 10.1089/omi.2011.0118.
Walter, Wencke, Fátima Sánchez-Cabo, and Mercedes Ricote. "GOplot: an R package for visually combining expression data with functional analysis." Bioinformatics (2015): btv300.