Deep learning to predict the lab-of-origin of engineered DNA
The synthetic biology era has seen a rapidly growing number of engineered DNA sequences. Here, the authors develop a deep learning method to predict the lab-of-origin of a DNA sequence based on hidden design signatures.
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2018-08-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-018-05378-z |
| _version_ | 1818839156578582528 |
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| author | Alec A. K. Nielsen Christopher A. Voigt |
| author_facet | Alec A. K. Nielsen Christopher A. Voigt |
| author_sort | Alec A. K. Nielsen |
| collection | DOAJ |
| description | The synthetic biology era has seen a rapidly growing number of engineered DNA sequences. Here, the authors develop a deep learning method to predict the lab-of-origin of a DNA sequence based on hidden design signatures. |
| first_indexed | 2024-12-19T03:49:49Z |
| format | Article |
| id | doaj.art-aff74158519949ea8e1e1dec52978d20 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-19T03:49:49Z |
| publishDate | 2018-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-aff74158519949ea8e1e1dec52978d202022-12-21T20:37:01ZengNature PortfolioNature Communications2041-17232018-08-019111010.1038/s41467-018-05378-zDeep learning to predict the lab-of-origin of engineered DNAAlec A. K. Nielsen0Christopher A. Voigt1Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of TechnologySynthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of TechnologyThe synthetic biology era has seen a rapidly growing number of engineered DNA sequences. Here, the authors develop a deep learning method to predict the lab-of-origin of a DNA sequence based on hidden design signatures.https://doi.org/10.1038/s41467-018-05378-z |
| spellingShingle | Alec A. K. Nielsen Christopher A. Voigt Deep learning to predict the lab-of-origin of engineered DNA Nature Communications |
| title | Deep learning to predict the lab-of-origin of engineered DNA |
| title_full | Deep learning to predict the lab-of-origin of engineered DNA |
| title_fullStr | Deep learning to predict the lab-of-origin of engineered DNA |
| title_full_unstemmed | Deep learning to predict the lab-of-origin of engineered DNA |
| title_short | Deep learning to predict the lab-of-origin of engineered DNA |
| title_sort | deep learning to predict the lab of origin of engineered dna |
| url | https://doi.org/10.1038/s41467-018-05378-z |
| work_keys_str_mv | AT alecaknielsen deeplearningtopredictthelaboforiginofengineereddna AT christopheravoigt deeplearningtopredictthelaboforiginofengineereddna |