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