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A statistical framework for analyzing deep mutational scanning data
Deep mutational scanning is a widely used method for multiplex measurement of functional consequences of protein variants. We developed a new deep mutational scanning statistical model that generates error estimates for each measurement, capturing both sampling error and consistency between replicat...
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| 出版年: | Genome Biol |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5547491/ https://ncbi.nlm.nih.gov/pubmed/28784151 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-017-1272-5 |
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