This is the development version of soGGi; for the stable release version, see soGGi.
Visualise ChIP-seq, MNase-seq and motif occurrence as aggregate plots Summarised Over Grouped Genomic IntervalsBioconductor version: Development (3.22)
The soGGi package provides a toolset to create genomic interval aggregate/summary plots of signal or motif occurence from BAM and bigWig files as well as PWM, rlelist, GRanges and GAlignments Bioconductor objects. soGGi allows for normalisation, transformation and arithmetic operation on and between summary plot objects as well as grouping and subsetting of plots by GRanges objects and user supplied metadata. Plots are created using the GGplot2 libary to allow user defined manipulation of the returned plot object. Coupled together, soGGi features a broad set of methods to visualise genomics data in the context of groups of genomic intervals such as genes, superenhancers and transcription factor binding events.
Author: Gopuraja Dharmalingam, Doug Barrows, Tom Carroll
Maintainer: Tom Carroll <tc.infomatics at gmail.com>
Citation (from within R, entercitation("soGGi")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("soGGi")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("soGGi")
Details biocViews ChIPSeq, Coverage, Sequencing, Software Version 1.41.0 In Bioconductor since BioC 3.1 (R-3.2) (10 years) License GPL (>= 3) Depends R (>= 3.5.0), BiocGenerics, SummarizedExperiment Imports methods, reshape2, ggplot2, S4Vectors, IRanges, GenomeInfoDb, GenomicRanges, Biostrings, Rsamtools, GenomicAlignments, rtracklayer, preprocessCore, chipseq, BiocParallel System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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