consenrich 0.2.0b0

Genome-wide estimation of signals hidden in noisy multi-sample functional genomics dataset

Consenrich

Consenrich is a sequential state estimator for extraction of genome-wide epigenetic signals in noisy, multi-sample high-throughput functional genomics datasets.

See the Documentation for more details and usage examples.

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Manuscript Preprint and Citation

A manuscript preprint is available on bioRxiv.

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}
}

Installation

The following steps should be most platform-independent and flexible, but you can also install from PyPI with pip install consenrich.

Note, if you don't have package management tools installed, you can first run

python -m pip install setuptools wheel Cython build

1. git clone https://github.com/nolan-h-hamilton/Consenrich.git
2. cd Consenrich
3. python -m build
4. python -m pip install .