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

Yoshinori Fukasawa | Zendy; Luca Ermini | Zendy; Hai Wang | Zendy; Karen Carty | Zendy; Min-Sin Cheung | Zendy

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

Author(s) -

Yoshinori Fukasawa,

Luca Ermini,

Hai Wang,

Karen Carty,

Min-Sin Cheung

Publication year - 2020

Publication title -

g3 genes genomes genetics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.468

H-Index - 66

ISSN - 2160-1836

DOI - 10.1534/g3.119.400864

Subject(s) - nanopore sequencing , biology , key (lock) , dna sequencing , computational biology , quality (philosophy) , control (management) , data science , computer science , genetics , artificial intelligence , dna , ecology , philosophy , epistemology

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.

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