Trans-Proteomic Pipeline: Robust Mass Spectrometry-Based Proteomics Data Analysis Suite.
Eric W DeutschLuis MendozaDavid D ShteynbergMichael R HoopmannZhi SunJimmy K EngRobert L MoritzPublished in: Journal of proteome research (2023)
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.
Keyphrases
- data analysis
- mass spectrometry
- machine learning
- liquid chromatography
- health information
- high resolution
- label free
- gas chromatography
- capillary electrophoresis
- big data
- single cell
- health insurance
- systematic review
- randomized controlled trial
- microbial community
- binding protein
- antibiotic resistance genes
- cancer therapy
- social media
- deep learning
- drug delivery