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A new sequence logo plot to highlight enrichment and depletion
BACKGROUND: Sequence logo plots have become a standard graphical tool for visualizing sequence motifs in DNA, RNA or protein sequences. However standard logo plots primarily highlight enrichment of symbols, and may fail to highlight interesting depletions. Current alternatives that try to highlight...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288878/ https://www.ncbi.nlm.nih.gov/pubmed/30526486 http://dx.doi.org/10.1186/s12859-018-2489-3 |
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author | Dey, Kushal K. Xie, Dongyue Stephens, Matthew |
author_facet | Dey, Kushal K. Xie, Dongyue Stephens, Matthew |
author_sort | Dey, Kushal K. |
collection | PubMed |
description | BACKGROUND: Sequence logo plots have become a standard graphical tool for visualizing sequence motifs in DNA, RNA or protein sequences. However standard logo plots primarily highlight enrichment of symbols, and may fail to highlight interesting depletions. Current alternatives that try to highlight depletion often produce visually cluttered logos. RESULTS: We introduce a new sequence logo plot, the EDLogo plot, that highlights both enrichment and depletion, while minimizing visual clutter. We provide an easy-to-use and highly customizable R package Logolas to produce a range of logo plots, including EDLogo plots. This software also allows elements in the logo plot to be strings of characters, rather than a single character, extending the range of applications beyond the usual DNA, RNA or protein sequences. And the software includes new Empirical Bayes methods to stabilize estimates of enrichment and depletion, and thus better highlight the most significant patterns in data. We illustrate our methods and software on applications to transcription factor binding site motifs, protein sequence alignments and cancer mutation signature profiles. CONCLUSIONS: Our new EDLogo plots and flexible software implementation can help data analysts visualize both enrichment and depletion of characters (DNA sequence bases, amino acids, etc.) across a wide range of applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2489-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6288878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62888782018-12-14 A new sequence logo plot to highlight enrichment and depletion Dey, Kushal K. Xie, Dongyue Stephens, Matthew BMC Bioinformatics Research Article BACKGROUND: Sequence logo plots have become a standard graphical tool for visualizing sequence motifs in DNA, RNA or protein sequences. However standard logo plots primarily highlight enrichment of symbols, and may fail to highlight interesting depletions. Current alternatives that try to highlight depletion often produce visually cluttered logos. RESULTS: We introduce a new sequence logo plot, the EDLogo plot, that highlights both enrichment and depletion, while minimizing visual clutter. We provide an easy-to-use and highly customizable R package Logolas to produce a range of logo plots, including EDLogo plots. This software also allows elements in the logo plot to be strings of characters, rather than a single character, extending the range of applications beyond the usual DNA, RNA or protein sequences. And the software includes new Empirical Bayes methods to stabilize estimates of enrichment and depletion, and thus better highlight the most significant patterns in data. We illustrate our methods and software on applications to transcription factor binding site motifs, protein sequence alignments and cancer mutation signature profiles. CONCLUSIONS: Our new EDLogo plots and flexible software implementation can help data analysts visualize both enrichment and depletion of characters (DNA sequence bases, amino acids, etc.) across a wide range of applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2489-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-10 /pmc/articles/PMC6288878/ /pubmed/30526486 http://dx.doi.org/10.1186/s12859-018-2489-3 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Dey, Kushal K. Xie, Dongyue Stephens, Matthew A new sequence logo plot to highlight enrichment and depletion |
title | A new sequence logo plot to highlight enrichment and depletion |
title_full | A new sequence logo plot to highlight enrichment and depletion |
title_fullStr | A new sequence logo plot to highlight enrichment and depletion |
title_full_unstemmed | A new sequence logo plot to highlight enrichment and depletion |
title_short | A new sequence logo plot to highlight enrichment and depletion |
title_sort | new sequence logo plot to highlight enrichment and depletion |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288878/ https://www.ncbi.nlm.nih.gov/pubmed/30526486 http://dx.doi.org/10.1186/s12859-018-2489-3 |
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