Consenrich is an adaptive linear state estimator that yields genome-wide, uncertainty-calibrated signal tracks from noisy multi-sample HTS data.
Special emphasis is placed on computational efficiency, model interpretability, and practical utility for downstream tasks that require well-resolved genome-wide signal estimates and uncertainty quantification across samples, such as:
- Consensus detection of open chromatin regions, TF footprints, nucleosome occupancy, histone modification
- Candidate selection and boundary refinement for differential analyses, fine-mapping, reporter assays, etc.
See the Documentation for usage examples, installation details, configuration options, and an API reference.
BibTeX Citation
@article {Hamilton2025,
author = {Hamilton, Nolan H and Huang, Yu-Chen E and McMichael, Benjamin D and Love, Michael I and Furey, Terrence S},
title = {Genome-Wide Uncertainty-Moderated Extraction of Signal Annotations from Multi-Sample Functional Genomics Data},
year = {2025},
doi = {10.1101/2025.02.05.636702},
publisher = {Cold Spring Harbor Laboratory},
journal = {bioRxiv}
}