TY - JOUR
T1 - Trans-Proteomic Pipeline
T2 - Robust Mass Spectrometry-Based Proteomics Data Analysis Suite
AU - Deutsch, Eric W.
AU - Mendoza, Luis
AU - Shteynberg, David D.
AU - Hoopmann, Michael R.
AU - Sun, Zhi
AU - Eng, Jimmy K.
AU - Moritz, Robert L.
N1 - Publisher Copyright:
© 2023 American Chemical Society.
PY - 2023/2/3
Y1 - 2023/2/3
N2 - 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.
AB - 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.
KW - 6.1.0 Parhelion
KW - PeptideProphet
KW - ProteinProphet
KW - Trans-Proteomic Pipeline
KW - computational proteomics
KW - mass spectrometry
KW - proteomics
UR - http://www.scopus.com/inward/record.url?scp=85146545871&partnerID=8YFLogxK
U2 - 10.1021/acs.jproteome.2c00624
DO - 10.1021/acs.jproteome.2c00624
M3 - Article
C2 - 36648445
AN - SCOPUS:85146545871
SN - 1535-3893
VL - 22
SP - 615
EP - 624
JO - Journal of Proteome Research
JF - Journal of Proteome Research
IS - 2
ER -