Learning Context-Dependent DNA Mutation Patterns in Error-Prone Polymerase Chain Reaction

Yuval Nov

doi:10.1021/acs.biochem.2c00292

Learning Context-Dependent DNA Mutation Patterns in Error-Prone Polymerase Chain Reaction

Yuval Nov

Department of Statistics

Research output: Contribution to journal › Article › peer-review

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
Number of pages	6
Journal	Biochemistry
Volume	62
Issue number	2
Early online date	26 Sep 2022
DOIs	https://doi.org/10.1021/acs.biochem.2c00292
State	Published - 17 Jan 2023

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ASJC Scopus subject areas

Biochemistry

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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.",

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AB - 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.

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Learning Context-Dependent DNA Mutation Patterns in Error-Prone Polymerase Chain Reaction

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