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Package: methBlockR
Title: cook methylation data down to regulatory blocks for distribution & reuse
Version: 0.9.43
Authors@R: person("Tim","Triche",
email = "trichelab@gmail.com",
role = c("aut","cre"),
comment = c(ORCID = "0000-0001-5665-946X"))
Description: Methylation blocks are a convenient abstraction for 'loci where
DNA methylation changes concordantly by condition or state'.
Highlighted by Loyfer (Nature, 2023), this adds a mechanism to
reconcile data between deep (array) & wide (sequencing) assays.
This also offers a way to leverage plentiful array-based samples
without losing key advantages of the sequencing-based assays,
such as readouts of correlated methylation within fragments.
It is often true that low-coverage sequencing data are better
matched by block-wise methylation rates than locus-level ratios.
Lightweight workflows & classes for preprocessing/QC of Illumina
methylation data, mostly by sesame and conumee2, are provided to
complement the 'distillation' of data and evaluate its fidelity.
Some utilities to ease motif analysis are also included.
Depends: R (>= 4.5),
SingleCellExperiment,
ComplexHeatmap,
sesame,
iSEE
Imports: SummarizedExperiment,
ReducedExperiment,
GenomicRanges,
BiocParallel,
rtracklayer,
matrixStats,
Rsamtools,
patchwork,
circlize,
RSpectra,
monaLisa,
ggplot2,
methods,
Seqinfo,
forcats,
RcppML,
Matrix,
impute,
uwot,
mixR
Suggests: CytoSimplex,
CytoMethIC,
fastTopics,
naivebayes,
CNVRanger,
CNVfilteR,
conumee2,
limma
License: MIT
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
URL: https://github.com/trichelab/methBlockR
BugReports: https://github.com/trichelab/methBlockR/issues