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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...

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Autores principales: Santamaría, Rodrigo, Therón, Roberto, Durán, Laura, García, Alicia, González, Sara, Sánchez, Mar, Antequera, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
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.
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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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