LongQC: A Quality Control Tool for Third Generation Sequencing Long Read Data.
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ArticleDate
2020-02-10Online Publication Date
2020-02-10Print Publication Date
2020-04Submitted Date
2019-10-26Permanent link to this record
http://hdl.handle.net/10754/661513Metadata
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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/g3.119.400864Sponsors
This work was supported by Core Labs of King Abdullah University of Science and Technology.Publisher
Genetics Society of AmericaJournal
G3 (Bethesda, Md.)Additional Links
http://g3journal.org/lookup/doi/10.1534/g3.119.400864https://www.g3journal.org/content/ggg/early/2020/02/10/g3.119.400864.full.pdf
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Is Supplemented By:- [Dataset]
Fukasawa, Y., Ermini, L., Wang, H., Carty, K., & Cheung, M. S. (2020). Supplemental Material for Fukasawa et al., 2020. GSA Journals. https://doi.org/10.25387/G3.11516004.V1. DOI: 10.25387/g3.11516004.v1 Handle: 10754/665086