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Genome-wide search of nucleosome patterns using visual analytics
MOTIVATION: The Burrows-Wheeler transform (BWT) is widely used for the fast alignment of high-throughput sequence data. This method also has potential applications in other areas of bioinformatics, and it can be specially useful for the fast searching of patterns on coverage data from different sour...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6596885/ https://www.ncbi.nlm.nih.gov/pubmed/30496344 http://dx.doi.org/10.1093/bioinformatics/bty971 |
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author | Santamaría, Rodrigo Therón, Roberto Durán, Laura García, Alicia González, Sara Sánchez, Mar Antequera, Francisco |
author_facet | Santamaría, Rodrigo Therón, Roberto Durán, Laura García, Alicia González, Sara Sánchez, Mar Antequera, Francisco |
author_sort | Santamaría, Rodrigo |
collection | PubMed |
description | MOTIVATION: The Burrows-Wheeler transform (BWT) is widely used for the fast alignment of high-throughput sequence data. This method also has potential applications in other areas of bioinformatics, and it can be specially useful for the fast searching of patterns on coverage data from different sources. RESULTS: We present a nucleosome pattern search method that converts levels of nucleosomal occupancy to a sequence-like format to which BWT searches can be applied. The method is embedded in a nucleosome map browser, ‘Nucleosee‘, an interactive visual tool specifically designed to enhance BWT searches, giving them context and making them suitable for visual discourse analysis of the results. The proposed method is fast, flexible and sufficiently generic for the exploration of data in a broad and interactive way. AVAILABILITY AND IMPLEMENTATION: The proposed algorithm and visual browser are available for testing at http://cpg3.der.usal.es/nucleosee. The source code and installation packages are also available at https://github.com/rodrigoSantamaria/nucleosee. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6596885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-65968852019-07-03 Genome-wide search of nucleosome patterns using visual analytics Santamaría, Rodrigo Therón, Roberto Durán, Laura García, Alicia González, Sara Sánchez, Mar Antequera, Francisco Bioinformatics Original Papers MOTIVATION: The Burrows-Wheeler transform (BWT) is widely used for the fast alignment of high-throughput sequence data. This method also has potential applications in other areas of bioinformatics, and it can be specially useful for the fast searching of patterns on coverage data from different sources. RESULTS: We present a nucleosome pattern search method that converts levels of nucleosomal occupancy to a sequence-like format to which BWT searches can be applied. The method is embedded in a nucleosome map browser, ‘Nucleosee‘, an interactive visual tool specifically designed to enhance BWT searches, giving them context and making them suitable for visual discourse analysis of the results. The proposed method is fast, flexible and sufficiently generic for the exploration of data in a broad and interactive way. AVAILABILITY AND IMPLEMENTATION: The proposed algorithm and visual browser are available for testing at http://cpg3.der.usal.es/nucleosee. The source code and installation packages are also available at https://github.com/rodrigoSantamaria/nucleosee. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-07-01 2018-11-29 /pmc/articles/PMC6596885/ /pubmed/30496344 http://dx.doi.org/10.1093/bioinformatics/bty971 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Papers Santamaría, Rodrigo Therón, Roberto Durán, Laura García, Alicia González, Sara Sánchez, Mar Antequera, Francisco Genome-wide search of nucleosome patterns using visual analytics |
title | Genome-wide search of nucleosome patterns using visual analytics |
title_full | Genome-wide search of nucleosome patterns using visual analytics |
title_fullStr | Genome-wide search of nucleosome patterns using visual analytics |
title_full_unstemmed | Genome-wide search of nucleosome patterns using visual analytics |
title_short | Genome-wide search of nucleosome patterns using visual analytics |
title_sort | genome-wide search of nucleosome patterns using visual analytics |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6596885/ https://www.ncbi.nlm.nih.gov/pubmed/30496344 http://dx.doi.org/10.1093/bioinformatics/bty971 |
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