PI: A Software for Validating Mass Spectrometry Results
Author Information
Author(s): Qiao Yantao, Zhang Hong, Bu Dongbo, Sun Shiwei
Primary Institution: Institute of Computing Technology, Chinese Academy of Sciences
Hypothesis
Can the software PI improve the accuracy of protein identification results generated by the SEQUEST algorithm?
Conclusion
The software PI was able to validate and improve the results of SEQUEST to a more satisfactory degree.
Supporting Evidence
- PI improved SEQUEST results from 9935 to 12797 at a false discovery rate of 0.5%.
- PI improved SEQUEST results from 11878 to 13560 at a false discovery rate of 1%.
- PI is easy to use with an intuitive interface and provides a complete manual.
Takeaway
The software PI helps scientists check and improve the results of a method used to identify proteins from mass spectrometry data.
Methodology
The software uses a fragmentation event model and integrates algorithms to validate peptide identifications by comparing theoretical and experimental spectra.
Limitations
The results were not very stable on QTOF data sets due to low-quality peaks.
Digital Object Identifier (DOI)
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