QPLOT: A Quality Assessment Tool for Next Generation Sequencing Data
Joint Authors
Zhan, Xiaowei
Wing, Mary-Kate
Anderson, Paul
Kang, Hyun Min
Abecasis, Goncalo R.
Li, Bingshan
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-4, 4 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-11
Country of Publication
Egypt
No. of Pages
4
Main Subjects
Abstract EN
Background.
Next generation sequencing (NGS) is being widely used to identify genetic variants associated with human disease.
Although the approach is cost effective, the underlying data is susceptible to many types of error.
Importantly, since NGS technologies and protocols are rapidly evolving, with constantly changing steps ranging from sample preparation to data processing software updates, it is important to enable researchers to routinely assess the quality of sequencing and alignment data prior to downstream analyses.
Results.
Here we describe QPLOT, an automated tool that can facilitate the quality assessment of sequencing run performance.
Taking standard sequence alignments as input, QPLOT generates a series of diagnostic metrics summarizing run quality and produces convenient graphical summaries for these metrics.
QPLOT is computationally efficient, generates webpages for interactive exploration of detailed results, and can handle the joint output of many sequencing runs.
Conclusion.
QPLOT is an automated tool that facilitates assessment of sequence run quality.
We routinely apply QPLOT to ensure quick detection of diagnostic of sequencing run problems.
We hope that QPLOT will be useful to the community as well.
American Psychological Association (APA)
Li, Bingshan& Zhan, Xiaowei& Wing, Mary-Kate& Anderson, Paul& Kang, Hyun Min& Abecasis, Goncalo R.. 2013. QPLOT: A Quality Assessment Tool for Next Generation Sequencing Data. BioMed Research International،Vol. 2013, no. 2013, pp.1-4.
https://search.emarefa.net/detail/BIM-1031039
Modern Language Association (MLA)
Li, Bingshan…[et al.]. QPLOT: A Quality Assessment Tool for Next Generation Sequencing Data. BioMed Research International No. 2013 (2013), pp.1-4.
https://search.emarefa.net/detail/BIM-1031039
American Medical Association (AMA)
Li, Bingshan& Zhan, Xiaowei& Wing, Mary-Kate& Anderson, Paul& Kang, Hyun Min& Abecasis, Goncalo R.. QPLOT: A Quality Assessment Tool for Next Generation Sequencing Data. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-4.
https://search.emarefa.net/detail/BIM-1031039
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031039