Bioconductor 3.22 Released

dinoR

This is the development version of dinoR; for the stable release version, see dinoR.

Differential NOMe-seq analysis


Bioconductor version: Development (3.23)

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.

Author: Michaela Schwaiger [aut, cre] ORCID iD ORCID: 0000-0002-4522-7810

Maintainer: Michaela Schwaiger <michaela.schwaiger at fmi.ch>

Citation (from within R, enter citation("dinoR")):

Installation

To install this package, start R (version "4.6") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("dinoR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews Coverage, DifferentialMethylation, Epigenetics, MethylSeq, NucleosomePositioning, Sequencing, Software, Transcription
Version 1.7.0
In Bioconductor since BioC 3.19 (R-4.4) (1.5 years)
License MIT + file LICENSE
Depends R (>= 4.3.0), SummarizedExperiment
Imports BiocGenerics, circlize, ComplexHeatmap, cowplot, dplyr, edgeR, GenomicRanges, ggplot2, Matrix, methods, rlang, stats, stringr, tibble, tidyr, tidyselect
System Requirements
URL https://github.com/xxxmichixxx/dinoR
Bug Reports https://github.com/xxxmichixxx/dinoR/issues
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Suggests knitr, rmarkdown, testthat (>= 3.0.0)
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/dinoR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/dinoR
Package Short Url https://bioconductor.org/packages/dinoR/
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