Trans-Proteomic Pipeline

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The Trans-Proteomic Pipeline (TPP) is an open-source data analysis software for proteomics developed at the Institute for Systems Biology (ISB) by the Ruedi Aebersold group under the Seattle Proteome Center. The TPP includes PeptideProphet,[1] ProteinProphet,[2] ASAPRatio, XPRESS and Libra.

Software Components

Probability Assignment and Validation

PeptideProphet performs statistical validation of peptide-spectra-matches (PSM) using the results of search engines by estimating a false discovery rate (FDR) on PSM level.[3] The initial PeptideProphet used a fit of a Gaussian distribution for the correct identifications and a fit of a gamma distribution for the incorrect identification. A later modification of the program allowed the usage of a target-decoy approach, using either a variable component mixture model or a semi-parametric mixture model.[4] In the PeptideProphet, specifying a decoy tag will use the variable component mixture model while selecting a non-parametric model will use the semi-parametric mixture model.

ProteinProphet identifies proteins based on the results of PeptideProphet.[5]

Mayu performs statistical validation of protein identification by estimating a false discovery rate (FDR) on protein level.[6]

Spectral library handling

The SpectraST tool is able to generate spectral libraries and search datasets using these libraries.[7]

See also

References

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  1. Software:PeptideProphet - SPCTools
  2. Software:ProteinProphet - SPCTools
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  5. Nesvizhskii AI, Keller A, Kolker E, Aebersold R. (2003) "A statistical model for identifying proteins by tandem mass spectrometry." Anal Chem 75:4646-58
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  7. Software:SpectraST - SPCTools

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