Memes: A motif analysis environment in R using tools from the MEME Suite

Identification of biopolymer motifs represents a key step in the analysis of biological sequences. The MEME Suite is a widely used toolkit for comprehensive analysis of biopolymer motifs; however, these tools are poorly integrated within popular analysis frameworks like the R/Bioconductor project, c...

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Bibliographic Details
Published in:	PLoS computational biology Vol. 17; no. 9; p. e1008991
Main Authors:	Nystrom, Spencer L., McKay, Daniel J.
Format:	Journal Article
Language:	English
Published:	San Francisco Public Library of Science 27.09.2021 Public Library of Science (PLoS)
Subjects:	Binding sites Biological analysis Biology and life sciences Biopolymers Computer and Information Sciences Data structures Data visualization Engineering and Technology Identification and classification Integrated software Metadata Multidimensional data Physical Sciences R (Programming language) Research and Analysis Methods Scientific visualization Social Sciences Source code Structure Toolkits Transcription factors United States
ISSN:	1553-7358, 1553-734X, 1553-7358
Online Access:	Get full text
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