Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: Brocks, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
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
_version_ 1782389340378234880
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