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LongQC: A Quality Control Tool for Third Generation Sequencing Long Read Data
Yoshinori Fukasawa1, Luca Ermini2, Hai Wang2
1King Abdullah University of Science and Technology (KAUST), Core Labs, Thuwal, Makkah, Saudi Arabia, 23955-6900 yoshinori.fukasawa@kaust.edu.sa nicole.cheung@kaust.edu.sa.
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.
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