Thank you for your interest in
- version: latest (dev) version,
- previous versions are available as alternative branches
Notes about the R library
integrated R-based computational framework aimed at deciphering DNA mutational signatures
provides advanced functions for importing DNA variants, computing mutation types, and extracting mutational signatures via non-negative matrix factorization (NMF)
I/O: accepts multiple types of input data (VCF, MAF), is compatible with non-human genomes, and supports the analysis of non-standard mutation types, such as tetra-nucleotide mutation types.
Important differences with previous versions
the latest version of
mutSignatures(available here on GitHub) fixes a known compatibility issue between older versions of
mutSignaturesand more recent versions of BSgenome objects. If you get an error while running the
attachContext()function, please re-install the latest version of
mutSignatures(from GitHub, see below!) and try again.
compared to mutSignatures version 1.3.1-7, the latest
mutSignatureversion replaced the
plot()method with the
msigPlot()method. Please, make sure to use
mutSignatures::msigPlot()to build plots (as shown in the vignette attached to the package) especially when reproducing examples from older vignettes. Thanks!
Peer-reviewed paper (Sci Rep. 2020 Oct 26;10(1):18217): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589488/
Installation from GitHub
In R, you can run:
devtools::install_github("dami82/mutSignatures", force = TRUE, build_vignettes = TRUE)
- Damiano Fantini, Vania Vidimar, Yanni Yu, Salvatore Condello, Joshua J Meeks
- The package was developed at Northwestern University, Chicago, IL (Department of Urology, 2017-2020)
- The package is still maintained by Damiano Fantini in his free time (Damiano has left academia). Therefore, please be patient when asking for help of submitting new issues! Thanks.