README.md

In ArnaudDroitLab/RJMCMCNucleosomes: Bayesian hierarchical model for genome-wide nucleosome positioning with high-throughput short-read data (MNase-Seq)

Genome-Wide Nucleosome Positioning using High-Throughput Short-Read Data (MNase-Seq)

This package uses informative Multinomial-Dirichlet prior in a t-mixture with reversible jump estimation of nucleosome positions for genome-wide profiling.

This package is in R with an optimized section in C++.

Citing

If you use this package for a publication, we would ask you to cite the following:

Samb R, Khadraoui K, Belleau P, et al. (2015). "Using informative Multinomial-Dirichlet prior in a t-mixture with reversible jump estimation of nucleosome positions for genome-wide profiling." Statistical Applications in Genetics and Molecular Biology. Volume 14, Issue 6, Pages 517-532, ISSN (Online) 1544-6115, ISSN (Print) 2194-6302, December 2015, doi: 10.1515/sagmb-2014-0098

Bioconductor Package

RJMCMCNucleosomes is now an official package of Bioconductor. The current release can be directly downloaded from their website: Current release

Notes

To use this current RJMCMCNucleosomes version, the use of the Rcpp package is mandatory. This implies having GSL library installed.

Authors

Pascal Belleau, Rawane Samb, Astrid Deschênes, Khader Khadraoui, Lajmi Lakhal-Chaieb and Arnaud Droit.

See AD Lab website.

Maintainer

Astrid Deschênes

License

This package and the underlying RJMCMCNucleosomes code are distributed under the Artistic license 2.0. You are free to use and redistribute this software.

For more information on Artistic 2.0 License see http://opensource.org/licenses/Artistic-2.0

Bugs/Feature requests

If you have any bugs or feature requests, let us know.

Thanks!

ArnaudDroitLab/RJMCMCNucleosomes documentation built on May 5, 2019, 7:06 a.m.