Using Tablet for visual exploration of second-generation sequencing data

Clicks: 15
ID: 300511
2012
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #56 of 62 articles by views in Briefings in bioinformatics

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
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.
Reference Key
openalex_W2138618895 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Iain Milne, Gordon Stephen, Micha Bayer, Peter Cock, Leighton Pritchard, Linda Cardle, Paul D. Shaw, David Marshall
Are you one of these authors? Claim your profile
Journal Briefings in bioinformatics
Year 2012
DOI
10.1093/bib/bbs012
URL
https://academic.oup.com/bib/article-pdf/14/2/193/546154/bbs012.pdf
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.