SigsPack
Mutational Signature Estimation for Single Samples
Bioconductor version: 3.23 · Package version: 1.26.0
Single sample estimation of exposure to mutational signatures. Exposures to known mutational signatures are estimated for single samples, based on quadratic programming algorithms. Bootstrapping the input mutational catalogues provides estimations on the stability of these exposures. The effect of the sequence composition of mutational context can be taken into account by normalising the catalogues.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SigsPack") Details
| Maintainer | Franziska Schumann <franziska.schumann@student.hpi.de> |
| Author | Franziska Schumann <franziska.schumann@student.hpi.de> |
| License | GPL-3 |
| URL | https://github.com/bihealth/SigsPack |
| Bug Reports | https://github.com/bihealth/SigsPack/issues |
| Downloads rank | 293 |
| Source branch | RELEASE_3_23 |
| biocViews | BiomedicalInformatics, DNASeq, SNP, Software, SomaticMutation, VariantAnnotation |
Documentation
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Dependencies
Depends: R (>= 3.6)
Imports: quadprog (>= 1.5-5), methods, Biobase, BSgenome (>= 1.46.0), VariantAnnotation (>= 1.24.5), Biostrings, GenomeInfoDb, GenomicRanges, rtracklayer, SummarizedExperiment, graphics, stats, utils
Suggests: IRanges, BSgenome.Hsapiens.UCSC.hg19, BiocStyle, knitr, rmarkdown