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Musical patterns for comparative epigenomics
Scientific data has been transformed into music in order to raise awareness in the non-scientific community. While the general public is nowadays familiar with the genetic code, there is still a lack of knowledge regarding epigenetic regulation. By making use of the binary nature of the methylome, w...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4563837/ https://www.ncbi.nlm.nih.gov/pubmed/26357527 http://dx.doi.org/10.1186/s13148-015-0127-8 |
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author | Brocks, David |
author_facet | Brocks, David |
author_sort | Brocks, David |
collection | PubMed |
description | Scientific data has been transformed into music in order to raise awareness in the non-scientific community. While the general public is nowadays familiar with the genetic code, there is still a lack of knowledge regarding epigenetic regulation. By making use of the binary nature of the methylome, we here describe a method that transforms methylation patterns into music. The resulting musical pieces show decent complexity and allow the audible recognition between music and underlying methylation state. This approach might therefore facilitate the recognition of complex methylation patterns and increase awareness for epigenetic regulation in the general public. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-015-0127-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4563837 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45638372015-09-10 Musical patterns for comparative epigenomics Brocks, David Clin Epigenetics Letter to the Editor Scientific data has been transformed into music in order to raise awareness in the non-scientific community. While the general public is nowadays familiar with the genetic code, there is still a lack of knowledge regarding epigenetic regulation. By making use of the binary nature of the methylome, we here describe a method that transforms methylation patterns into music. The resulting musical pieces show decent complexity and allow the audible recognition between music and underlying methylation state. This approach might therefore facilitate the recognition of complex methylation patterns and increase awareness for epigenetic regulation in the general public. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-015-0127-8) contains supplementary material, which is available to authorized users. BioMed Central 2015-09-08 /pmc/articles/PMC4563837/ /pubmed/26357527 http://dx.doi.org/10.1186/s13148-015-0127-8 Text en © Brocks. 2016 Open AccessThis 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 | Letter to the Editor Brocks, David Musical patterns for comparative epigenomics |
title | Musical patterns for comparative epigenomics |
title_full | Musical patterns for comparative epigenomics |
title_fullStr | Musical patterns for comparative epigenomics |
title_full_unstemmed | Musical patterns for comparative epigenomics |
title_short | Musical patterns for comparative epigenomics |
title_sort | musical patterns for comparative epigenomics |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4563837/ https://www.ncbi.nlm.nih.gov/pubmed/26357527 http://dx.doi.org/10.1186/s13148-015-0127-8 |
work_keys_str_mv | AT brocksdavid musicalpatternsforcomparativeepigenomics |