Minimum epistasis interpolation for sequence-function relationships
High-throughput combinatorial mutagenesis assays are useful to screen the function of many different sequences but they are not exhaustive. Here, Zhou and McCandlish develop a method to impute such missing genotype-phenotype data based on inferring the least epistatic sequence-function relationship.
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2020-04-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-15512-5 |
| _version_ | 1818839161112625152 |
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| author | Juannan Zhou David M. McCandlish |
| author_facet | Juannan Zhou David M. McCandlish |
| author_sort | Juannan Zhou |
| collection | DOAJ |
| description | High-throughput combinatorial mutagenesis assays are useful to screen the function of many different sequences but they are not exhaustive. Here, Zhou and McCandlish develop a method to impute such missing genotype-phenotype data based on inferring the least epistatic sequence-function relationship. |
| first_indexed | 2024-12-19T03:49:53Z |
| format | Article |
| id | doaj.art-c55fc67817d342c78e06035001e72714 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-19T03:49:53Z |
| publishDate | 2020-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-c55fc67817d342c78e06035001e727142022-12-21T20:37:01ZengNature PortfolioNature Communications2041-17232020-04-0111111410.1038/s41467-020-15512-5Minimum epistasis interpolation for sequence-function relationshipsJuannan Zhou0David M. McCandlish1Simons Center for Quantitative Biology, Cold Spring Harbor LaboratorySimons Center for Quantitative Biology, Cold Spring Harbor LaboratoryHigh-throughput combinatorial mutagenesis assays are useful to screen the function of many different sequences but they are not exhaustive. Here, Zhou and McCandlish develop a method to impute such missing genotype-phenotype data based on inferring the least epistatic sequence-function relationship.https://doi.org/10.1038/s41467-020-15512-5 |
| spellingShingle | Juannan Zhou David M. McCandlish Minimum epistasis interpolation for sequence-function relationships Nature Communications |
| title | Minimum epistasis interpolation for sequence-function relationships |
| title_full | Minimum epistasis interpolation for sequence-function relationships |
| title_fullStr | Minimum epistasis interpolation for sequence-function relationships |
| title_full_unstemmed | Minimum epistasis interpolation for sequence-function relationships |
| title_short | Minimum epistasis interpolation for sequence-function relationships |
| title_sort | minimum epistasis interpolation for sequence function relationships |
| url | https://doi.org/10.1038/s41467-020-15512-5 |
| work_keys_str_mv | AT juannanzhou minimumepistasisinterpolationforsequencefunctionrelationships AT davidmmccandlish minimumepistasisinterpolationforsequencefunctionrelationships |