Learning Context-Dependent DNA Mutation Patterns in Error-Prone Polymerase Chain Reaction
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 p...
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Published in | Biochemistry (Easton) Vol. 62; no. 2; pp. 345 - 350 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
United States
American Chemical Society
17.01.2023
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Subjects | |
Online Access | Get full text |
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Summary: | 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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0006-2960 1520-4995 |
DOI: | 10.1021/acs.biochem.2c00292 |