dinoR
This is the released version of dinoR; for the devel version, see dinoR.
Differential NOMe-seq analysis
Bioconductor version: Release (3.21)
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]            
              
             
           
    
Maintainer: Michaela Schwaiger <michaela.schwaiger at fmi.ch>
citation("dinoR")):
      
    Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("dinoR")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("dinoR")| dinoR-vignette | HTML | R Script | 
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text | 
Details
| biocViews | Coverage, DifferentialMethylation, Epigenetics, MethylSeq, NucleosomePositioning, Sequencing, Software, Transcription | 
| Version | 1.4.0 | 
| 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 | 
See More
| Suggests | knitr, rmarkdown, testthat (>= 3.0.0) | 
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report | 
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | dinoR_1.4.0.tar.gz | 
| Windows Binary (x86_64) | dinoR_1.4.0.zip | 
| macOS Binary (x86_64) | dinoR_1.4.0.tgz | 
| macOS Binary (arm64) | dinoR_1.4.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/dinoR | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/dinoR | 
| Bioc Package Browser | https://code.bioconductor.org/browse/dinoR/ | 
| Package Short Url | https://bioconductor.org/packages/dinoR/ | 
| Package Downloads Report | Download Stats |