Monitoring Error Rates In Illumina Sequencing.
Guaranteeing high-quality next-generation sequencing data in a rapidly changing environment is an ongoing challenge. The introduction of the Illumina NextSeq 500 and the depreciation of specific metrics from Illumina's Sequencing Analysis Viewer (SAV; Illumina, San Diego, CA, USA) have made it more difficult to determine directly the baseline error rate of sequencing runs. To improve our ability to measure base quality, we have created an open-source tool to construct the Percent Perfect Reads (PPR) plot, previously provided by the Illumina sequencers. The PPR program is compatible with HiSeq 2000/2500, MiSeq, and NextSeq 500 instruments and provides an alternative to Illumina's quality value (Q) scores for determining run quality. Whereas Q scores are representative of run quality, they are often overestimated and are sourced from different look-up tables for each platform. The PPR's unique capabilities as a cross-instrument comparison device, as a troubleshooting tool, and as a tool for monitoring instrument performance can provide an increase in clarity over SAV metrics that is often crucial for maintaining instrument health. These capabilities are highlighted.
BioMicro Center, Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
Leigh J
LJ
Manley
BioMicro Center, Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
Duanduan
D
Ma
BioMicro Center, Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
Stuart S
SS
Levine
D000465:Algorithms; D001483:Base Sequence; D003951:Diagnostic Errors; D059014:High-Throughput Nucleotide Sequencing / Q000592:standards*; D006801:Humans; D025202:Molecular Diagnostic Techniques; D017422:Sequence Analysis, DNA / Q000592:standards*; D012984:Software
bioinformatics; genomics; high-throughput DNA
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