SolexaQA: At-a-glance quality assessment of Illumina second-generation sequencing data

Clicks: 617
ID: 117897
2010
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 #4 of 850 articles by views in BMC Bioinformatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 850 in total.

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
Illumina's second-generation sequencing platform is playing an increasingly prominent role in modern DNA and RNA sequencing efforts. However, rapid, simple, standardized and independent measures of run quality are currently lacking, as are tools to process sequences for use in downstream applications based on read-level quality data. We present SolexaQA, a user-friendly software package designed to generate detailed statistics and at-a-glance graphics of sequence data quality both quickly and in an automated fashion. This package contains associated software to trim sequences dynamically using the quality scores of bases within individual reads. The SolexaQA package produces standardized outputs within minutes, thus facilitating ready comparison between flow cell lanes and machine runs, as well as providing immediate diagnostic information to guide the manipulation of sequence data for downstream analyses.
Reference Key
cox2010bmcsolexaqa: Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Murray P Cox;Daniel A Peterson;Patrick J Biggs;Murray P Cox;Daniel A Peterson;Patrick J Biggs;
Journal BMC Bioinformatics
Year 2010
DOI
doi:10.1186/1471-2105-11-485
URL
https://doi.org/10.1186%2F1471-2105-11-485
Keywords
bioinformatics algorithms microarrays computational biology/bioinformatics computer appl. in life sciences

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.