GO Explorer: A Tool for Analyzing Shotgun Proteomics Data
Author Information
Author(s): Paulo C. Carvalho, Juliana S. G. Fischer, Emily I. Chen, Gilberto B. Domont, Maria G. C. Carvalho, Wim M. Degrave, John R. Yates III, Valmir C. Barbosa
Primary Institution: Federal University of Rio de Janeiro, Brazil
Hypothesis
Can a new algorithm, GO Explorer, improve the interpretation of shotgun proteomics data?
Conclusion
GOEx is a user-friendly tool that helps biologists analyze complex proteomics data effectively.
Supporting Evidence
- GOEx identified over 2600 proteins related to various biological processes.
- The tool integrates with the PatternLab for Proteomics project for enhanced data analysis.
- GOEx provides multiple methods for querying data, improving user experience.
Takeaway
GOEx is like a special tool that helps scientists understand a lot of protein data easily, especially when studying how certain treatments affect cells.
Methodology
The study used a multi-surfactant shotgun proteomic strategy to identify proteins and applied the GOEx algorithm for data analysis.
Limitations
The completeness of GO, the IPI database, and mappings can affect the results.
Participant Demographics
Human glioblastoma multiform cell lines (A172) were used.
Statistical Information
P-Value
0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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