SOMNiBUS
Smooth modeling of bisulfite sequencing
Bioconductor version: 3.23 · Package version: 1.20.0
This package aims to analyse count-based methylation data on predefined genomic regions, such as those obtained by targeted sequencing, and thus to identify differentially methylated regions (DMRs) that are associated with phenotypes or traits. The method is built a rich flexible model that allows for the effects, on the methylation levels, of multiple covariates to vary smoothly along genomic regions. At the same time, this method also allows for sequencing errors and can adjust for variability in cell type mixture.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SOMNiBUS") Details
| Maintainer | Kathleen Klein <kathleen.klein@mail.mcgill.ca> |
| Author | Kaiqiong Zhao [aut], Kathleen Klein [cre], Audrey Lemaçon [ctb, ctr], Simon Laurin-Lemay [ctb, ctr], My Intelligent Machines Inc. [ctr], Celia Greenwood [ths, aut] |
| License | MIT + file LICENSE |
| URL | https://github.com/kaiqiong/SOMNiBUS |
| Bug Reports | https://github.com/kaiqiong/SOMNiBUS/issues |
| Downloads rank | 228 |
| Source branch | RELEASE_3_23 |
| biocViews | DNAMethylation, DifferentialMethylation, Epigenetics, FunctionalPrediction, Regression, Sequencing, Software |
Documentation
Download
Dependencies
Depends: R (>= 4.1.0)
Imports: Matrix, mgcv, stats, VGAM, IRanges, GenomeInfoDb, GenomicRanges, rtracklayer, S4Vectors, BiocManager, annotatr, yaml, utils, bsseq, reshape2, data.table, ggplot2, tidyr
Suggests: BiocStyle, covr, devtools, dplyr, knitr, magick, rmarkdown, testthat, TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Hsapiens.UCSC.hg19.knownGene, org.Hs.eg.db