ssvQC
ssvQC provides quality control and comparative analysis for enrichment-based NGS assays such as CUT&RUN, ChIP-seq, and ATAC-seq.
Key Features:
- Quality Control and Comparative Analysis: Performs comprehensive quality-control metrics and enables comparison of data quality across replicates and datasets.
- Support for Multiple Enrichment-Based Assays: Supports analysis of enrichment-based assays including CUT&RUN, ChIP-seq, and ATAC-seq.
- Evaluation of Fresh versus Frozen Samples: Includes workflows to compare CUT&RUN results from fresh and frozen cells to assess effects of sample preservation.
- Peak Calling and Replicate Analysis: Facilitates inspection of peak calling results and comparison across biological and technical replicates.
- Systematic Data Quality Reporting: Generates systematic QC summaries to report data quality for transcription factor binding and histone modification profiling studies.
Scientific Applications:
- Transcription Factor Binding Profiling: Supports genome-wide profiling and quality assessment of transcription factor binding datasets generated by CUT&RUN, ChIP-seq, or ATAC-seq.
- Histone Modification Profiling: Supports profiling and QC of histone modification datasets from enrichment-based assays.
- Protocol Optimization and Sample Preservation Assessment: Enables evaluation of experimental conditions such as fresh versus frozen sample use in CUT&RUN to inform protocol optimization.
Methodology:
Implemented in R; development involved comparing workflows using fresh and frozen samples in CUT&RUN experiments to produce a comprehensive QC pipeline.
Topics
Details
- License:
- Other
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 10/14/2021
- Last Updated:
- 10/14/2021
Operations
Publications
Boyd J, Rodriguez P, Schjerven H, Frietze S. An Integrated CUT&RUN Quality Control Workflow for Histone Modifications and Transcription Factors. Unknown Journal. 2021. doi:10.21203/rs.3.rs-646006/v1.