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DESCRIPTION
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DESCRIPTION
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Package: dmrseq
Type: Package
Title: Detection and inference of differentially methylated regions
from Whole Genome Bisulfite Sequencing
Version: 1.25.2
Authors@R: c(person("Keegan", "Korthauer", role = c("cre", "aut"),
email = "[email protected]",
comment = c(ORCID = "0000-0002-4565-1654")),
person("Rafael", "Irizarry", role = "aut",
email = "[email protected]",
comment = c(ORCID = "0000-0002-3944-4309")),
person("Yuval", "Benjamini", role = "aut"),
person("Sutirtha", "Chakraborty", role = "aut"))
Description: This package implements an approach for scanning the
genome to detect and perform accurate inference on differentially
methylated regions from Whole Genome Bisulfite Sequencing data.
The method is based on comparing detected regions
to a pooled null distribution, that can be implemented even when as
few as two samples per population are available.
Region-level statistics are obtained by fitting a generalized
least squares (GLS) regression model with a nested autoregressive
correlated error structure for the effect of interest on transformed
methylation proportions.
License: MIT + file LICENSE
Depends: R (>= 3.5), bsseq
Imports: GenomicRanges,
nlme,
ggplot2,
S4Vectors,
RColorBrewer,
bumphunter,
DelayedMatrixStats (>= 1.1.13),
matrixStats,
BiocParallel,
outliers,
methods,
locfit,
IRanges,
grDevices,
graphics,
stats,
utils,
annotatr,
AnnotationHub,
rtracklayer,
GenomeInfoDb,
splines
Suggests: knitr,
rmarkdown,
BiocStyle,
TxDb.Hsapiens.UCSC.hg19.knownGene,
org.Hs.eg.db
biocViews: ImmunoOncology, DNAMethylation, Epigenetics, MultipleComparison, Software,
Sequencing, DifferentialMethylation, WholeGenome, Regression,
FunctionalGenomics
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.2.3