Damsel

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

Damsel: an end to end analysis of DamID


Bioconductor version: Development (3.20)

Damsel provides an end to end analysis of DamID data. Damsel takes bam files from Dam-only control and fusion samples and counts the reads matching to each GATC region. edgeR is utilised to identify regions of enrichment in the fusion relative to the control. Enriched regions are combined into peaks, and are associated with nearby genes. Damsel allows for IGV style plots to be built as the results build, inspired by ggcoverage, and using the functionality and layering ability of ggplot2. Damsel also conducts gene ontology testing with bias correction through goseq, and future versions of Damsel will also incorporate motif enrichment analysis. Overall, Damsel is the first package allowing for an end to end analysis with visual capabilities. The goal of Damsel was to bring all the analysis into one place, and allow for exploratory analysis within R.

Author: Caitlin Page [aut, cre]

Maintainer: Caitlin Page <caitlin.page at petermac.org>

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

Installation

To install this package, start R (version "4.4") and enter:


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

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

BiocManager::install("Damsel")

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

Documentation

Reference Manual PDF

Details

biocViews DifferentialMethylation, GenePrediction, GeneSetEnrichment, PeakDetection, Software
Version 1.1.0
In Bioconductor since BioC 3.19 (R-4.4) (< 6 months)
License MIT + file LICENSE
Depends R (>= 4.4.0)
Imports AnnotationDbi, Biostrings, dplyr, edgeR, GenomeInfoDb, GenomicFeatures, GenomicRanges, ggbio, ggplot2, goseq, magrittr, patchwork, plyranges, reshape2, rlang, Rsamtools, Rsubread, stats, stringr, tidyr, utils
System Requirements
URL https://github.com/Oshlack/Damsel
Bug Reports https://github.com/Oshlack/Damsel
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Suggests BiocStyle, biomaRt, biovizBase, BSgenome.Dmelanogaster.UCSC.dm6, knitr, limma, org.Dm.eg.db, rmarkdown, testthat (>= 3.0.0), TxDb.Dmelanogaster.UCSC.dm6.ensGene
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Package Archives

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

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