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Updated: Nov 19, 2025

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
Published on: June 8, 2020
FASTQuick: rapid and comprehensive quality assessment of raw sequence reads
1Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, 100 Washington Ave, Ann Arbor, MI 48109, USA.
Background:
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.
Findings:
We developed a set of rapid and accurate methods to produce comprehensive quality metrics directly from a subset of raw sequence reads (from whole-genome or whole-exome sequencing) without full alignment. Our methods offer orders of magnitude faster turnaround time than existing full alignment-based methods while providing comprehensive and sophisticated quality metrics, including estimates of genetic ancestry and cross-sample contamination.
Conclusions:
By rapidly and comprehensively performing the quality assessment, our tool will help investigators detect potential issues in ultra-high-throughput sequence reads in real time within a low computational cost at the early stages of the analyses, ensuring high-quality downstream results and preventing unexpected loss in time, money, and invaluable specimens.
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