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Prediction of PCR amplification from primer and template sequences using recurrent neural network
We have developed a novel method to predict the success of PCR amplification for a specific primer set and DNA template based on the relationship between the primer sequence and the template. To perform the prediction using a recurrent neural network, the usual double-stranded formation between the...
Autores principales: | Kayama, Kotetsu, Kanno, Miyuki, Chisaki, Naoto, Tanaka, Misaki, Yao, Reika, Hanazono, Kiwamu, Camer, Gerry Amor, Endoh, Daiji |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021588/ https://www.ncbi.nlm.nih.gov/pubmed/33820936 http://dx.doi.org/10.1038/s41598-021-86357-1 |
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