Zhi Sun

TL;DR: The full workflow of the TPP is described, along with an example on a sample data set, demonstrating that the setup and use of the tools are straightforward and well supported and do not require specialized informatic resources or knowledge.

TL;DR: The ProteomeXchange Consortium of proteomics resources was formally started in 2011 to standardize data submission and dissemination of mass spectrometry proteomics data worldwide and is supporting a change in culture of the proteomics field.

TL;DR: The use of iProphet in the Trans-Proteomics Pipeline increases the number of correctly identified peptides at a constant false discovery rate as compared with both PeptideProphet and another state-of-the-art tool Percolator.

TL;DR: The updated submission guidelines are described and it is demonstrated that the proteomics field is now actively embracing public open data policies and an unprecedented increase of data re-use activities in the field is enabling novel research and new data resources.

TL;DR: This work has identified 20,433 distinct peptides, from which it inferred a highly nonredundant set of 1929 protein sequences at a false discovery rate of 1%, and compiled a high-confidence human plasma proteome reference set with well over twice the identified proteins of previous high- confidence sets.