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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

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

browseVignettes("memes")
ChIP-seq Analysis HTML R Script
Denovo Motif Discovery Using DREME HTML R Script
Install MEME HTML R Script
Motif Comparison using TomTom HTML R Script
Motif Enrichment Testing using AME HTML R Script
Motif Scanning using FIMO HTML R Script
Tidying Motif Metadata HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

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)
See More
Linking To
Enhances
Depends On Me
Imports Me MotifPeeker
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package memes_1.19.0.tar.gz
Windows Binary (x86_64) memes_1.19.0.zip
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 Downloads Report Download Stats

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