memes
The "memes" R package is a seamless interface to the MEME Suite, a toolkit widely used for biopolymer motif analysis. Overcoming integration challenges with popular R/Bioconductor frameworks, memes offers a "data aware" interface for efficient discriminative motif analysis workflows. It interfaces with MEME Suite tools, utilizing R/Bioconductor data structures for storing multidimensional data, ensuring quick access and manipulation. Additionally, memes provide data visualization capabilities to enhance result communication.
Topic
Sequence sites, features and motifs;ChIP-seq;Workflows;Sequence analysis;Protein structural motifs and surfaces
Detail
Operation: Sequence motif discovery;Sequence motif recognition;Sequence motif comparison;Peak calling
Software interface: Library
Language: R
License: The MIT License
Cost: Free
Version name: 1.10.0
Credit: The American Cancer Society, the National Institute of General Medical Sciences of the NIH.
Input: -
Output: -
Contact: Spencer Nystrom nystromdev@gmail.com
Collection: -
Maturity: Stable
Publications
- Memes: an R interface to the MEME Suite
- Nystrom SL, McKay DJ. Memes: A motif analysis environment in R using tools from the MEME Suite. PLoS Comput Biol. 2021 Sep 27;17(9):e1008991. doi: 10.1371/journal.pcbi.1008991. PMID: 34570758; PMCID: PMC8496816.
- https://doi.org/10.1371/journal.pcbi.1008991
- PMID: 34570758
- PMC: PMC8496816
Download and documentation
Source: https://bioconductor.org/src/contrib/memes_1.10.0.tar.gz
Documentation: https://bioconductor.org/manuals/memes/man/memes.pdf
Home page: https://bioconductor.org/packages/memes
Links: https://bioconductor.org/vignettes/memes/inst/doc/integrative_analysis.html
Links: https://bioconductor.org/vignettes/memes/inst/doc/integrative_analysis.R
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