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Predicting the success of primer extension genotyping assays using statistical modeling

Using an empirical panel of more than 20 000 single base primer extension (SNP-IT) assays we have developed a set of statistical scores for evaluating and rank ordering various parameters of the SNP-IT reaction to facilitate high-throughput assay primer design with improved likelihood of success. Ea...

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書誌詳細
出版年:Nucleic Acids Res
主要な著者: Yuryev, Anton, Huang, JianPing, Pohl, Mark, Patch, Robert, Watson, Felicia, Bell, Peter, Donaldson, Miriam, Phillips, Michael S., Boyce-Jacino, Michael T.
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2002
主題:
オンライン・アクセス:https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC137986/
https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/12466563/
https://ncbi.nlm.nih.govhttps://doi.org/10.1093/nar/gnf131
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