Consenrich Homepage¶
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.
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Manuscript Preprint |
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Source Code |
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Documentation, Examples, etc. |
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Contact |
Nolan [dοt] Hamilton <at> unc [dοt] <eḏu> |