 
  
 
   
   This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see dagLogo.
Bioconductor version: 3.13
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 "4.1") and enter:
if (!requireNamespace("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 | 1.30.0 | 
| In Bioconductor since | BioC 2.13 (R-3.0) (8 years) | 
| License | GPL (>=2) | 
| Depends | R (>= 3.0.1), methods, grid | 
| Imports | pheatmap, Biostrings, UniProt.ws, BiocGenerics, utils, biomaRt, motifStack | 
| 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_1.30.0.tar.gz | 
| Windows Binary | dagLogo_1.30.0.zip (32- & 64-bit) | 
| macOS 10.13 (High Sierra) | dagLogo_1.30.0.tgz | 
| Source Repository | git 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/ | 
| Package Downloads Report | Download Stats | 
 
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