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dagLogo

This is the released version of dagLogo; for the devel version, see dagLogo.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13

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


Bioconductor version: Release (3.23)

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 <jou at morgridge.org>

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

Jianhong Ou, Haibo Liu, Alexey Stukalov, Niraj Nirala, Usha Acharya, Lihua Julie Zhu. dagLogo: dagLogo: a Bioconductor package for visualizing conserved amino acid sequence pattern in groups based on probability theory. doi:10.18129/B9.bioc.dagLogo, R package version 1.50.0, https://bioconductor.org/packages/dagLogo.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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 ManualPDF
NEWSText

Details

biocViews SequenceMatching, Software, Visualization
Version1.50.0
In Bioconductor sinceBioC 2.13 (R-3.0) (13 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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Depends On Me
Imports Me
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Build Report Build Report, r-universe

Package Archives

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

Source Package dagLogo_1.50.0.tar.gz
Windows Binary (x86_64) dagLogo_1.50.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) dagLogo_1.50.0.tgz
macOS Binary (sonoma-arm64) dagLogo_1.50.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/dagLogo
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/dagLogo
Package Short Url https://bioconductor.org/packages/dagLogo/
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