Modeling the Amplification of Immunoglobulins through Machine Learning on Sequence-Specific Features

Successful primer design for polymerase chain reaction (PCR) hinges on the ability to identify primers that efficiently amplify template sequences. Here, we generated a novel Taq PCR data set that reports the amplification status for pairs of primers and templates from a reference set of 47 immunogl...

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Detalles Bibliográficos
Autores principales: Döring, Matthias, Kreer, Christoph, Lehnen, Nathalie, Klein, Florian, Pfeifer, Nico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6656877/
https://www.ncbi.nlm.nih.gov/pubmed/31341211
http://dx.doi.org/10.1038/s41598-019-47173-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6656877/
https://www.ncbi.nlm.nih.gov/pubmed/31341211
http://dx.doi.org/10.1038/s41598-019-47173-w

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