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

Bioconductor version: Release (3.18)

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")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

dagLogo Vignette HTML R Script
Reference Manual PDF


biocViews SequenceMatching, Software, Visualization
Version 1.40.0
In Bioconductor since BioC 2.13 (R-3.0) (10.5 years)
License GPL (>=2)
Depends R (>= 3.0.1), methods, grid
Imports pheatmap, Biostrings, UniProt.ws, BiocGenerics, utils, biomaRt, motifStack, httr
System Requirements
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Suggests XML, grImport, grImport2, BiocStyle, knitr, rmarkdown, testthat
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Package Archives

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

Source Package dagLogo_1.40.0.tar.gz
Windows Binary dagLogo_1.40.0.zip
macOS Binary (x86_64) dagLogo_1.40.0.tgz
macOS Binary (arm64) dagLogo_1.40.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/dagLogo
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/dagLogo
Bioc Package Browser https://code.bioconductor.org/browse/dagLogo/
Package Short Url https://bioconductor.org/packages/dagLogo/
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