HistoneAnalysisWorkflow
HistoneAnalysisWorkflow analyzes histone post-translational modifications from mass spectrometry data to provide quality control, normalization, statistical analysis, and visualization for quantification of histone PTMs.
Key Features:
- Data Quality Assurance: Implements data quality checks and filtering to address peak integration accuracy, batch-to-batch variability, and noisy mass spectrometry data.
- Normalization and Statistics: Applies normalization methodologies and statistical analyses tailored for histone PTM quantification.
- Visualization Capabilities: Produces visualizations to represent epigenetic modification patterns and analytical results.
- Reproducibility: Enables reproducible computational workflows for histone PTM analysis.
- Integration with Software Tools: Supports data processing using EpiProfile 2.0 and Skyline.
Scientific Applications:
- High-plex PTM quantification: Enables quantification of over 60 histone modification states in a single sample.
- Comparative PTM profiling: Supports exploration of global changes in histone PTMs across different biological contexts.
- Cell line epigenetic signatures: Facilitates quantification of modifications in human cell lines to reveal cell-line-specific epigenetic signatures.
Methodology:
Performs data quality checks and filtering, peak integration, normalization, statistical analysis and validation, and visualization, with processing supported via EpiProfile 2.0 and Skyline.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- R
- Added:
- 1/14/2020
- Last Updated:
- 12/10/2020
Operations
Publications
Thomas SP, Haws SA, Borth LE, Denu JM. A practical guide for analysis of histone post-translational modifications by mass spectrometry: Best practices and pitfalls. Methods. 2020;184:53-60. doi:10.1016/j.ymeth.2019.12.001. PMID:31816396.
PMID: 31816396
Funding: - Foundation for the National Institutes of Health: GM059785