Contents

1 Description

Mass spectrometry (MS) has become a well-established technology for global profiling of proteome and phosphoproteome in cells and tissues. Sophisticated computational methods are required for making sense of the data generated from MS-based proteomics and phosphoproteomics. In relation to professor Pei Wangโ€™s talk/workshop, which covers the methods/tools for preprocessing of MS-based proteomic data, this talk/workshop will introduce computational methods/tools for identifying kinases, substrates, and signalling and gene pathways that are regulated in different experimental conditions, assays, and time-series from large-scale proteomic and phosphoproteomic data. Hands-on demonstrations will be given in the workshop in which various computational methods/tools will be introduced through example applications to several proteomic and phosphoproteomic datasets using R programming environment.

2 Requirements

You will need to bring your own laptop. Please make sure it has the latest version of R installed.

3 Relevance

This workshop will introduce advanced computational methods for anyone interested in understanding the phosphoproteome from MS data.

Keywords: Proteomics, data mining