Trans-Proteomic Pipeline: Robust Mass Spectrometry-Based Proteomics Data Analysis Suite

Eric W. Deutsch, Luis Mendoza, David D. Shteynberg, Michael R. Hoopmann, Zhi Sun, Jimmy K. Eng, Robert L. Moritz

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

26 Citations (Scopus)

Résumé

The Trans-Proteomic Pipeline (TPP) mass spectrometry data analysis suite has been in continual development and refinement since its first tools, PeptideProphet and ProteinProphet, were published 20 years ago. The current release provides a large complement of tools for spectrum processing, spectrum searching, search validation, abundance computation, protein inference, and more. Many of the tools include machine-learning modeling to extract the most information from data sets and build robust statistical models to compute the probabilities that derived information is correct. Here we present the latest information on the many TPP tools, and how TPP can be deployed on various platforms from personal Windows laptops to Linux clusters and expansive cloud computing environments. We describe tutorials on how to use TPP in a variety of ways and describe synergistic projects that leverage TPP. We conclude with plans for continued development of TPP.

langue originaleAnglais
Pages (de - à)615-624
Nombre de pages10
journalJournal of Proteome Research
Volume22
Numéro de publication2
Les DOIs
étatPublié - 3 févr. 2023
Modification externeOui

Contient cette citation