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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Veröffentlicht in:	PLoS computational biology Jg. 17; H. 9; S. e1008991
Hauptverfasser:	Nystrom, Spencer L., McKay, Daniel J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	San Francisco Public Library of Science 27.09.2021 Public Library of Science (PLoS)
Schlagworte:	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-Zugang:	Volltext
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