Reading mixtures of uniform sequence-defined macromolecules to increase data storage capacity
Sequence-defined molecules are promising for data storage applications, but synthesizing long sequences is typically required to achieve a high data storage capacity. Here the authors synthesize a library of different sequence-defined tetramers and hexamers and demonstrate that mixtures of these sho...
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2020
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/0083b23b803d4f368685913612bdc40a |
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| Sumario: | Sequence-defined molecules are promising for data storage applications, but synthesizing long sequences is typically required to achieve a high data storage capacity. Here the authors synthesize a library of different sequence-defined tetramers and hexamers and demonstrate that mixtures of these short sequence-defined oligomers can store up to 64.5 bit. |
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