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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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| Veröffentlicht in: | Sci Rep |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6656877/ https://ncbi.nlm.nih.gov/pubmed/31341211 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-47173-w |
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