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Data-driven noise modeling of digital DNA melting analysis enables prediction of sequence discriminating power
MOTIVATION: The need to rapidly screen complex samples for a wide range of nucleic acid targets, like infectious diseases, remains unmet. Digital High-Resolution Melt (dHRM) is an emerging technology with potential to meet this need by accomplishing broad-based, rapid nucleic acid sequence identific...
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| Gepubliceerd in: | Bioinformatics |
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| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Oxford University Press
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8016452/ https://ncbi.nlm.nih.gov/pubmed/33355665 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa1053 |
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