Please use this identifier to cite or link to this item:
|Statistics||SHARE CORE MendeleyBASE||
|Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL|
Genome-wide search of nucleosome patterns using visual analytics
|Authors:||Santamaría, Rodrigo; Therón, Roberto; Durán, Laura; García, Alicia ; González Moreno, Sara ; Sánchez, Mar; Antequera, Francisco|
|Publisher:||Oxford University Press|
|Citation:||Bioinformatics - Oxford: 1–8 (2018)|
|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.
[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.
|Publisher version (URL):||https://doi.org/10.1093/bioinformatics/bty971|
|Appears in Collections:||(IBFG) Artículos|
Files in This Item:
|Genome-wide_Santamaria.pdf||857,04 kB||Adobe PDF|