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dinoR

Differential NOMe-seq analysis

Bioconductor version: 3.23 · Package version: 1.8.0

dinoR tests for significant differences in NOMe-seq footprints between two conditions, using genomic regions of interest (ROI) centered around a landmark, for example a transcription factor (TF) motif. This package takes NOMe-seq data (GCH methylation/protection) in the form of a Ranged Summarized Experiment as input. dinoR can be used to group sequencing fragments into 3 or 5 categories representing characteristic footprints (TF bound, nculeosome bound, open chromatin), plot the percentage of fragments in each category in a heatmap, or averaged across different ROI groups, for example, containing a common TF motif. It is designed to compare footprints between two sample groups, using edgeR's quasi-likelihood methods on the total fragment counts per ROI, sample, and footprint category.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("dinoR")

Details

MaintainerMichaela Schwaiger <michaela.schwaiger@fmi.ch>
AuthorMichaela Schwaiger [aut, cre] (ORCID: <https://orcid.org/0000-0002-4522-7810>)
LicenseMIT + file LICENSE
URLhttps://github.com/xxxmichixxx/dinoR
Bug Reportshttps://github.com/xxxmichixxx/dinoR/issues
Downloads rank187
Source branchRELEASE_3_23
biocViewsCoverage, DifferentialMethylation, Epigenetics, MethylSeq, NucleosomePositioning, Sequencing, Software, Transcription

Documentation

Download

Dependencies

Depends: R (>= 4.3.0), SummarizedExperiment

Imports: BiocGenerics, circlize, ComplexHeatmap, cowplot, dplyr, edgeR, GenomicRanges, ggplot2, Matrix, methods, rlang, stats, stringr, tibble, tidyr, tidyselect

Suggests: knitr, rmarkdown, testthat (>= 3.0.0)