Bioconductor version: Release (3.16)
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 "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("dagLogo")
HTML | R Script | dagLogo Vignette |
Reference Manual | ||
Text | NEWS |
biocViews | SequenceMatching, Software, Visualization |
Version | 1.36.0 |
In Bioconductor since | BioC 2.13 (R-3.0) (9.5 years) |
License | GPL (>=2) |
Depends | R (>= 3.0.1), methods, grid |
Imports | pheatmap, Biostrings, UniProt.ws, BiocGenerics, utils, biomaRt, motifStack, httr |
LinkingTo | |
Suggests | XML, grImport, grImport2, BiocStyle, knitr, rmarkdown, testthat |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | dagLogo_1.36.0.tar.gz |
Windows Binary | dagLogo_1.36.0.zip |
macOS Binary (x86_64) | dagLogo_1.36.0.tgz |
macOS Binary (arm64) | dagLogo_1.36.0.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/ |
Package Downloads Report | Download Stats |
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