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ggmotif: An R Package for the extraction and visualization of motifs from MEME software
MEME (Multiple Em for Motif Elicitation) is the most commonly used tool to identify motifs within deoxyribonucleic acid (DNA) or protein sequences. However, the results generated by the MEMEare saved using file formats .xml and .txt, which are difficult to read, visualize, or integrate with other wi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632824/ https://www.ncbi.nlm.nih.gov/pubmed/36327240 http://dx.doi.org/10.1371/journal.pone.0276979 |
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author | Li, Xiang Ma, Linna Mei, Xinyue Liu, Yixiang Huang, Huichuan |
author_facet | Li, Xiang Ma, Linna Mei, Xinyue Liu, Yixiang Huang, Huichuan |
author_sort | Li, Xiang |
collection | PubMed |
description | MEME (Multiple Em for Motif Elicitation) is the most commonly used tool to identify motifs within deoxyribonucleic acid (DNA) or protein sequences. However, the results generated by the MEMEare saved using file formats .xml and .txt, which are difficult to read, visualize, or integrate with other widely used phylogenetic tree packages, such as ggtree. To overcome this problem, we developed the ggmotif R package, which provides two easy-to-use functions that can facilitate the extraction and visualization of motifs from the results files generated by the MEME. ggmotif can extract the information of the location of motif(s) on the corresponding sequence(s) from the .xml format file and visualize it. Additionally, the data extracted by ggmotif can be easily integrated with the phylogenetic data. On the other hand, ggmotif can obtain the sequence of each motif from the .txt format file and draw the sequence logo with the function ggseqlogo from the ggseqlogo R package. The ggmotif R package is freely available (including examples and vignettes) from GitHub at https://github.com/lixiang117423/ggmotif or from CRAN at https://CRAN.R-project.org/package=ggmotif. |
format | Online Article Text |
id | pubmed-9632824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-96328242022-11-04 ggmotif: An R Package for the extraction and visualization of motifs from MEME software Li, Xiang Ma, Linna Mei, Xinyue Liu, Yixiang Huang, Huichuan PLoS One Research Article MEME (Multiple Em for Motif Elicitation) is the most commonly used tool to identify motifs within deoxyribonucleic acid (DNA) or protein sequences. However, the results generated by the MEMEare saved using file formats .xml and .txt, which are difficult to read, visualize, or integrate with other widely used phylogenetic tree packages, such as ggtree. To overcome this problem, we developed the ggmotif R package, which provides two easy-to-use functions that can facilitate the extraction and visualization of motifs from the results files generated by the MEME. ggmotif can extract the information of the location of motif(s) on the corresponding sequence(s) from the .xml format file and visualize it. Additionally, the data extracted by ggmotif can be easily integrated with the phylogenetic data. On the other hand, ggmotif can obtain the sequence of each motif from the .txt format file and draw the sequence logo with the function ggseqlogo from the ggseqlogo R package. The ggmotif R package is freely available (including examples and vignettes) from GitHub at https://github.com/lixiang117423/ggmotif or from CRAN at https://CRAN.R-project.org/package=ggmotif. Public Library of Science 2022-11-03 /pmc/articles/PMC9632824/ /pubmed/36327240 http://dx.doi.org/10.1371/journal.pone.0276979 Text en © 2022 Li et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Li, Xiang Ma, Linna Mei, Xinyue Liu, Yixiang Huang, Huichuan ggmotif: An R Package for the extraction and visualization of motifs from MEME software |
title | ggmotif: An R Package for the extraction and visualization of motifs from MEME software |
title_full | ggmotif: An R Package for the extraction and visualization of motifs from MEME software |
title_fullStr | ggmotif: An R Package for the extraction and visualization of motifs from MEME software |
title_full_unstemmed | ggmotif: An R Package for the extraction and visualization of motifs from MEME software |
title_short | ggmotif: An R Package for the extraction and visualization of motifs from MEME software |
title_sort | ggmotif: an r package for the extraction and visualization of motifs from meme software |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632824/ https://www.ncbi.nlm.nih.gov/pubmed/36327240 http://dx.doi.org/10.1371/journal.pone.0276979 |
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