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...

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Detalles Bibliográficos
Autores principales: Kayama, Kotetsu, Kanno, Miyuki, Chisaki, Naoto, Tanaka, Misaki, Yao, Reika, Hanazono, Kiwamu, Camer, Gerry Amor, Endoh, Daiji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
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

Internet

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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