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Unbiased Fitness Estimation of Pooled Barcode or Amplicon Sequencing Studies.
Li, Fangfei; Salit, Marc L; Levy, Sasha F.
Afiliação
  • Li F; Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA.
  • Salit ML; Joint Initiative for Metrology in Biology, Stanford, CA 94305, USA; National Institute of Standards and Technology, Gaithersburg, MD 20899, USA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
  • Levy SF; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA; Joint Initiative for Metrology in Biology, Stanford, CA 94305, USA; National Institute of Standards and Technology, Gaithersburg, MD 20899, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA. Electronic address: sflevy@stanford.edu.
Cell Syst ; 7(5): 521-525.e4, 2018 11 28.
Article em En | MEDLINE | ID: mdl-30391162
Standard practice for phenotyping complex cell pools is to measure the fold enrichment of genotype-specific amplicons after a period of competitive growth. Here, we show that fold-enrichment measures cannot be compared across genotype pools with different fitness distributions. We develop a method to calculate an unbiased estimate of relative fitness by tracking abundances over several time points and show how to optimize experimental protocols to minimize fitness measurement error.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Análise de Sequência de DNA / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Análise de Sequência de DNA / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2018 Tipo de documento: Article