FASTQuick: rapid and comprehensive quality assessment of raw sequence reads | Zendy

Fan Zhang | Zendy; Hyun Min Kang | Zendy

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FASTQuick: rapid and comprehensive quality assessment of raw sequence reads

Author(s) -

Fan Zhang,

Hyun Min Kang

Publication year - 2021

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/giab004

Subject(s) - sequence (biology) , computer science , quality (philosophy) , quality assessment , computational biology , raw data , information retrieval , biology , engineering , genetics , reliability engineering , evaluation methods , programming language , philosophy , epistemology

Rapid and thorough quality assessment of sequenced genomes on an ultra-high-throughput scale is crucial for successful large-scale genomic studies. Comprehensive quality assessment typically requires full genome alignment, which costs a substantial amount of computational resources and turnaround time. Existing tools are either computationally expensive owing to full alignment or lacking essential quality metrics by skipping read alignment.

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