MotifPeeker
MotifPeeker benchmarks epigenomic profiling methods targeting transcription factors by analyzing motif enrichment as a key metric when no gold standard reference exists.
Key Features:
- Motif Enrichment Analysis: Evaluates known motif enrichment as a primary benchmarking metric for comparing epigenomic profiling methods.
- De Novo Motif Discovery: Performs de novo motif discovery to identify novel motifs in the analyzed data.
- General Metrics Reporting: Generates summary metrics to compare performance across profiling methods.
- Automated Report Generation: Produces an HTML report containing all benchmarking results from a single function call with minimal input.
Scientific Applications:
- Transcription Factor Profiling Benchmarking: Compares epigenomic profiling methods targeting transcription factors in the absence of established reference standards.
- Method Comparison: Enables systematic evaluation of different experimental or computational approaches for epigenomic data generation.
Methodology:
MotifPeeker analyzes motif enrichment using minimal input data processed through a single function that outputs an HTML report.
Topics
Details
- License:
- GPL-3.0
- Programming Languages:
- R
- Added:
- 2/22/2026
- Last Updated:
- 2/22/2026