Abstract
We present a novel statistical learning method for studying context-dependent error rates in error-prone polymerase chain reaction (PCR) experiments. We demonstrate the method by applying it to error-prone PCR sequencing data and show how it may be exploited to improve the evolvability of genes in protein engineering.
| Original language | English |
|---|---|
| Pages (from-to) | 345-350 |
| Number of pages | 6 |
| Journal | Biochemistry |
| Volume | 62 |
| Issue number | 2 |
| Early online date | 26 Sep 2022 |
| DOIs | |
| State | Published - 17 Jan 2023 |
Bibliographical note
Publisher Copyright:© 2022 American Chemical Society.
ASJC Scopus subject areas
- Biochemistry
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