1. Measuring sequencer size bias using REcount: a novel method for highly accurate Illumina sequencing-based quantification
- Author
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Daryl M. Gohl, Alessandro Magli, John Garbe, Aaron Becker, Darrell M. Johnson, Shea Anderson, Benjamin Auch, Bradley Billstein, Elyse Froehling, Shana L. McDevitt, and Kenneth B. Beckman
- Subjects
Next-generation sequencing ,DNA library preparation ,PCR-free ,Illumina ,Size bias ,RNA-Seq ,Biology (General) ,QH301-705.5 ,Genetics ,QH426-470 - Abstract
Abstract Quantification of DNA sequence tags from engineered constructs such as plasmids, transposons, or other transgenes underlies many functional genomics measurements. Typically, such measurements rely on PCR followed by next-generation sequencing. However, PCR amplification can introduce significant quantitative error. We describe REcount, a novel PCR-free direct counting method. Comparing measurements of defined plasmid pools to droplet digital PCR data demonstrates that REcount is highly accurate and reproducible. We use REcount to provide new insights into clustering biases due to molecule length across different Illumina sequencers and illustrate the impacts on interpretation of next-generation sequencing data and the economics of data generation.
- Published
- 2019
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