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

Bioconductor version: Release (3.5)

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")):

To install this package, start R and enter:

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

biocViews	SequenceMatching, Software, Visualization
Version	1.14.0
In Bioconductor since	BioC 2.13 (R-3.0) (4 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

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

Source Package	dagLogo_1.14.0.tar.gz
Windows Binary	dagLogo_1.14.0.zip
Mac OS X 10.11 (El Capitan)	dagLogo_1.14.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/dagLogo
Package Short Url	http://bioconductor.org/packages/dagLogo/
Package Downloads Report	Download Stats

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