Genome-wide search of nucleosome patterns using visual analytics

1Citations
Citations of this article
17Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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.

Cite

CITATION STYLE

APA

Santamaría, R., Therón, R., Durán, L., García, A., González, S., Sánchez, M., & Antequera, F. (2019). Genome-wide search of nucleosome patterns using visual analytics. Bioinformatics, 35(13), 2185–2192. https://doi.org/10.1093/bioinformatics/bty971

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free