seqplots
This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.
This package is for version 3.9 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see seqplots.
An interactive tool for visualizing NGS signals and sequence motif densities along genomic features using average plots and heatmaps
Bioconductor version: 3.9
SeqPlots is a tool for plotting next generation sequencing (NGS) based experiments' signal tracks, e.g. reads coverage from ChIP-seq, RNA-seq and DNA accessibility assays like DNase-seq and MNase-seq, over user specified genomic features, e.g. promoters, gene bodies, etc. It can also calculate sequence motif density profiles from reference genome. The data are visualized as average signal profile plot, with error estimates (standard error and 95% confidence interval) shown as fields, or as series of heatmaps that can be sorted and clustered using hierarchical clustering, k-means algorithm and self organising maps. Plots can be prepared using R programming language or web browser based graphical user interface (GUI) implemented using Shiny framework. The dual-purpose implementation allows running the software locally on desktop or deploying it on server. SeqPlots is useful for both for exploratory data analyses and preparing replicable, publication quality plots. Other features of the software include collaboration and data sharing capabilities, as well as ability to store pre-calculated result matrixes, that combine many sequencing experiments and in-silico generated tracks with multiple different features. These binaries can be further used to generate new combination plots on fly, run automated batch operations or share with colleagues, who can adjust their plotting parameters without loading actual tracks and recalculating numeric values. SeqPlots relays on Bioconductor packages, mainly on rtracklayer for data input and BSgenome packages for reference genome sequence and annotations.
Author: Przemyslaw Stempor [aut, cph, cre]
Maintainer: Przemyslaw Stempor <ps562 at cam.ac.uk>
citation("seqplots")
):
Installation
To install this package, start R (version "3.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("seqplots")
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("seqplots")
SeqPlots GUI | HTML | R Script |
SeqPlots Quick Start | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | ChIPSeq, ImmunoOncology, RNASeq, Sequencing, Software, Visualization |
Version | 1.22.2 |
In Bioconductor since | BioC 3.0 (R-3.1) (9.5 years) |
License | GPL-3 |
Depends | R (>= 3.2.0) |
Imports | methods, IRanges, BSgenome, digest, rtracklayer, GenomicRanges, Biostrings, shiny (>= 0.13.0), DBI, RSQLite, plotrix, fields, grid, kohonen, parallel, GenomeInfoDb, class, S4Vectors, ggplot2, reshape2, gridExtra, jsonlite, DT (>= 0.1.0), RColorBrewer, Rsamtools, GenomicAlignments, BiocManager |
System Requirements | |
URL | http://github.com/przemol/seqplots |
Bug Reports | http://github.com/przemol/seqplots/issues |
See More
Suggests | testthat, BiocStyle, knitr, rmarkdown, covr |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | ChIPSeqSpike |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | seqplots_1.22.2.tar.gz |
Windows Binary | seqplots_1.22.2.zip |
Mac OS X 10.11 (El Capitan) | seqplots_1.22.2.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/seqplots |
Source Repository (Developer Access) | git clone [email protected]:packages/seqplots |
Package Short Url | https://bioconductor.org/packages/seqplots/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.9 | Source Archive |