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 |
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Journal | Biochemistry |
DOIs | |
State | Accepted/In press - 2022 |
Bibliographical note
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ASJC Scopus subject areas
- Biochemistry