Bioconductor 3.22 Released

memes

This is the development version of memes; for the stable release version, see memes.

motif matching, comparison, and de novo discovery using the MEME Suite


Bioconductor version: Development (3.23)

A seamless interface to the MEME Suite family of tools for motif analysis. 'memes' provides data aware utilities for using GRanges objects as entrypoints to motif analysis, data structures for examining & editing motif lists, and novel data visualizations. 'memes' functions and data structures are amenable to both base R and tidyverse workflows.

Author: Spencer Nystrom [aut, cre, cph] ORCID iD ORCID: 0000-0003-1000-1579

Maintainer: Spencer Nystrom <nystromdev at gmail.com>

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

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("memes")

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

Documentation

Reference Manual PDF

Details

biocViews DataImport, FunctionalGenomics, GeneRegulation, MotifAnnotation, MotifDiscovery, SequenceMatching, Software
Version 1.19.0
In Bioconductor since BioC 3.13 (R-4.1) (4.5 years)
License MIT + file LICENSE
Depends R (>= 4.1)
Imports Biostrings, dplyr, cmdfun (>= 1.0.2), GenomicRanges, ggplot2, ggseqlogo, magrittr, matrixStats, methods, patchwork, processx, purrr, rlang, readr, stats, tools, tibble, tidyr, utils, usethis, universalmotif(>= 1.9.3), xml2
System Requirements Meme Suite (v5.3.3 or above)
URL https://snystrom.github.io/memes/ https://github.com/snystrom/memes
Bug Reports https://github.com/snystrom/memes/issues
See More
Suggests cowplot, BSgenome.Dmelanogaster.UCSC.dm3, BSgenome.Dmelanogaster.UCSC.dm6, forcats, testthat (>= 2.1.0), knitr, MotifDb, pheatmap, PMCMRplus, plyranges(>= 1.9.1), rmarkdown, covr
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/memes
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/memes
Package Short Url https://bioconductor.org/packages/memes/
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