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Using Tablet for visual exploration of second-generation sequencing data.
Milne, Iain; Stephen, Gordon; Bayer, Micha; Cock, Peter J A; Pritchard, Leighton; Cardle, Linda; Shaw, Paul D; Marshall, David.
Afiliación
  • Milne I; Information & Computational Sciences, The James Hutton Institute JHI, Dundee DD2 5DA, Scotland, UK. iain.milne@hutton.ac.uk
Brief Bioinform ; 14(2): 193-202, 2013 Mar.
Article en En | MEDLINE | ID: mdl-22445902
ABSTRACT
The advent of second-generation sequencing (2GS) has provided a range of significant new challenges for the visualization of sequence assemblies. These include the large volume of data being generated, short-read lengths and different data types and data formats associated with the diversity of new sequencing technologies. This article illustrates how Tablet-a high-performance graphical viewer for visualization of 2GS assemblies and read mappings-plays an important role in the analysis of these data. We present Tablet, and through a selection of use cases, demonstrate its value in quality assurance and scientific discovery, through features such as whole-reference coverage overviews, variant highlighting, paired-end read mark-up, GFF3-based feature tracks and protein translations. We discuss the computing and visualization techniques utilized to provide a rich and responsive graphical environment that enables users to view a range of file formats with ease. Tablet installers can be freely downloaded from http//bioinf.hutton.ac.uk/tablet in 32 or 64-bit versions for Windows, OS X, Linux or Solaris. For further details on the Tablet, contact tablet@hutton.ac.uk.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Gráficos por Computador / Presentación de Datos / Bases de Datos Genéticas Límite: Animals / Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2013 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Gráficos por Computador / Presentación de Datos / Bases de Datos Genéticas Límite: Animals / Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2013 Tipo del documento: Article País de afiliación: Reino Unido