Resources
The GradSeq explorer: Gradient profiling of RNA-protein and multi protein complexes
Customizable visualizations for the Synechocystis sp. PCC6803 proteome and transcriptome, according to the separation of RNA-protein and multi-protein complexes in a sucrose density gradient. The dataset has been subjected to a hierarchical clustering approach and all detected proteins and RNAs were assigned to one of 17 distinct clusters, based on their individual sedimentation characteristics ( https://doi.org/10.1093/
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PCTsee: A reactive web application for quantitative proteome data browsing
To allow the scientific community to browse our proteomics datasets, we developed a Shiny application coded entirely in the R programming language. Our application, called PCTsee, allows user to load different datasets, which are available through a drop down widget. It is then possible to select gene name or protein ID of interest in order to display their abundance value. Whereby the abundance values have been computed by the MaxQuant software during LC-MS/MS data processing (e.g. intensity, ratio). The user selection will result in a protein abundance profile plot, as well as a table containing some information about the selected protein (e.g. protein names, sequence coverage). Users can interact further with the displayed plot to zoom, rescale or remove samples due to the plotly R package ( https://CRAN.R-project.org/
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