Identification of unknown genomes and closest known genomes
US12100486B2 · kind B2 · utility
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Key dates
| Filing date | May 14, 2021 |
| Grant date | Sep 24, 2024 |
| Priority date | — |
| Expiry date | Dec 30, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B40/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided is a deep learning algorithm that analyzes fragments of biological sequences. The input for the deep learning algorithm is a biological sequence fragment of unknown origin and the output is the closest known biological genome that could share phenotypic properties with the biological species of unknown origin. The workflow thus has application for genomic classification, identification of mutations within known genomes, and the identification of the closest class for unknown species.
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