LongQC: A Quality Control Tool for Third Generation Sequencing Long Read Data.

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Article
Authors
Fukasawa, Yoshinori
Ermini, Luca
Wang, Hai
Carty, Karen
Cheung, Ming Sin
KAUST Department
Bioinformatics
Bioscience Core Lab
Sanger and Third Generation Sequencing
Date
2020-02-10
Online Publication Date
2020-02-10
Print Publication Date
2020-04
Submitted Date
2019-10-26
Permanent link to this record
http://hdl.handle.net/10754/661513

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Abstract
We propose LongQC as an easy and automated quality control tool for genomic datasets generated by third generation sequencing (TGS) technologies such as Oxford Nanopore technologies (ONT) and SMRT sequencing from Pacific Bioscience (PacBio). Key statistics were optimized for long read data, and LongQC covers all major TGS platforms. LongQC processes and visualizes those statistics automatically and quickly.
Citation
Fukasawa, Y., Ermini, L., Wang, H., Carty, K., & Cheung, M.-S. (2020). LongQC: A Quality Control Tool for Third Generation Sequencing Long Read Data. G3: Genes|Genomes|Genetics, g3.400864.2019. doi:10.1534/g3.119.400864
Sponsors
This work was supported by Core Labs of King Abdullah University of Science and Technology.
Publisher
Genetics Society of America
Journal
G3 (Bethesda, Md.)
DOI
10.1534/g3.119.400864
Additional Links
http://g3journal.org/lookup/doi/10.1534/g3.119.400864
https://www.g3journal.org/content/ggg/early/2020/02/10/g3.119.400864.full.pdf
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