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

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    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
    Date
    2020-02-10
    Online Publication Date
    2020-02-10
    Print Publication Date
    2020-04
    Submitted Date
    2019-10-26
    Permanent link to this record
    http://hdl.handle.net/10754/661513
    
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    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
    Sponsors
    This work was supported by Core Labs of King Abdullah University of Science and Technology.
    Publisher
    Genetics Society of America
    Journal
    G3 (Bethesda, Md.)
    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
    Relations
    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
    ae974a485f413a2113503eed53cd6c53
    10.1534/g3.119.400864
    Scopus Count
    Collections
    Articles; Bioscience Core Lab

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