dagLogo

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see dagLogo.

dagLogo: a bioconductor package for visualizeing conserved amino acid sequence pattern in groups based on probability theory


Bioconductor version: 3.9

Visualize significant conserved amino acid sequence pattern in groups based on probability theory.

Author: Jianhong Ou, Haibo Liu, Alexey Stukalov, Niraj Nirala, Usha Acharya, Lihua Julie Zhu

Maintainer: Jianhong Ou <jianhong.ou at duke.edu>

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

Installation

To install this package, start R (version "3.6") and enter:


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

BiocManager::install("dagLogo")

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("dagLogo")
dagLogo Vignette HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews SequenceMatching, Software, Visualization
Version 1.22.3
In Bioconductor since BioC 2.13 (R-3.0) (10.5 years)
License GPL (>=2)
Depends R (>= 3.0.1), methods, biomaRt, grImport2, grid, motifStack
Imports pheatmap, Biostrings, UniProt.ws, BiocGenerics, utils
System Requirements
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Suggests XML, BiocStyle, knitr, rmarkdown, testthat
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
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Build Report Build Report

Package Archives

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

Source Package dagLogo_1.22.3.tar.gz
Windows Binary dagLogo_1.22.3.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) dagLogo_1.22.3.tgz
Source Repository git clone https://git.bioconductor.org/packages/dagLogo
Source Repository (Developer Access) git clone [email protected]:packages/dagLogo
Bioc Package Browser https://code.bioconductor.org/browse/dagLogo/
Package Short Url https://bioconductor.org/packages/dagLogo/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.9 Source Archive