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

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

Research output: Contribution to journalArticlepeer-review

96 Scopus citations

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.
Original languageEnglish (US)
Pages (from-to)g3.400864.2019
JournalG3 (Bethesda, Md.)
Volume10
Issue number4
DOIs
StatePublished - Feb 12 2020

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported by Core Labs of King Abdullah University of Science and Technology.

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