FragPipe-Analyst
FragPipe-Analyst performs differential expression analysis and visualizes quantitative proteomics data generated by the FragPipe computational platform.
Key Features:
- Quantification workflow support: FragPipe-Analyst supports label-free quantification, tandem mass tags, and data-independent acquisition workflows.
- Missing value imputation: FragPipe-Analyst offers various missing value imputation options for handling incomplete proteomics data.
- Data quality control: FragPipe-Analyst provides data quality control functionalities for assessing quantitative proteomics data.
- Unsupervised clustering: FragPipe-Analyst performs unsupervised clustering analysis of proteomics data.
- Differential expression analysis: FragPipe-Analyst conducts differential expression analysis using Limma.
- Pathway enrichment analysis: FragPipe-Analyst performs gene ontology and pathway enrichment analysis using Enrichr.
- Extended R package functionality: FragPipeAnalystR extends all FragPipe-Analyst functionalities to support site-specific analysis of post-translational modifications.
Scientific Applications:
- Quantitative proteomics downstream analysis: FragPipe-Analyst enables statistical analysis and visualization of quantitative proteomics data from FragPipe output tables.
- Post-translational modification site-specific analysis: FragPipeAnalystR supports site-specific analysis of post-translational modifications for advanced proteomics studies.
Methodology:
FragPipe-Analyst implements differential expression analysis using Limma and performs gene ontology and pathway enrichment analysis using Enrichr.
Topics
Details
- Programming Languages:
- R
- Added:
- 1/14/2026
- Last Updated:
- 1/14/2026