README.md

In rvalieris/signeR: Empirical Bayesian approach to mutational signature discovery

signeR

The signeR package provides an empirical Bayesian approach to mutational signature discovery. It is designed to analyze single nucleotide variation (SNV) counts in cancer genomes, but can also be applied to other features as well. Functionalities to characterize signatures or genome samples according to exposure patterns are also provided.

Docs & Help

See the Documentation section on the Bioconductor page.

Authors

Rafael Rosales, Rodrigo Drummond, Renan Valieris, Israel Tojal da Silva

Citation

Rosales RA, Drummond RD, Valieris R, Dias-Neto E and Silva ITd (2016). “signeR: An empirical Bayesian approach to mutational signature discovery.” Bioinformatics. doi: 10.1093/bioinformatics/btw572.

License

GPL v3

rvalieris/signeR documentation built on April 20, 2024, 2:08 p.m.