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

Type
Article

Authors
Fukasawa, Yoshinori
Ermini, Luca
Wang, Hai
Carty, Karen
Cheung, Ming Sin

KAUST Department
Bioinformatics
Bioscience Core Lab
Sanger and Third Generation Sequencing

Online Publication Date
2020-02-10

Print Publication Date
2020-04

Date
2020-02-10

Submitted Date
2019-10-26

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

Acknowledgements
This work was supported by Core Labs of King Abdullah University of Science and Technology.

Publisher
Genetics Society of America

Journal
G3 Genes|Genomes|Genetics

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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