To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("dagLogo")

In most cases, you don't need to download the package archive at all.

dagLogo

 

   

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

dagLogo

Bioconductor version: Development (3.4)

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

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

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

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("dagLogo")

Documentation

HTML R Script dagLogo Vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews SequenceMatching, Software, Visualization
Version 1.11.2
In Bioconductor since BioC 2.13 (R-3.0) (2.5 years)
License GPL (>=2)
Depends R (>= 3.0.1), methods, biomaRt, grImport, grid, motifStack
Imports pheatmap, Biostrings
LinkingTo
Suggests XML, UniProt.ws, BiocStyle, knitr, rmarkdown, testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source dagLogo_1.11.2.tar.gz
Windows Binary dagLogo_1.11.2.zip
Mac OS X 10.9 (Mavericks) dagLogo_1.11.2.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/dagLogo
Package Short Url http://bioconductor.org/packages/dagLogo/
Package Downloads Report Download Stats

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