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- W2953209411 endingPage "1083" @default.
- W2953209411 startingPage "1074" @default.
- W2953209411 abstract "Genome-scale bisulfite sequencing approaches have opened the door to ecological and evolutionary studies of DNA methylation in many organisms. These approaches can be powerful. However, they introduce new methodological and statistical considerations, some of which are particularly relevant to non-model systems. Here, we highlight how these considerations influence a study’s power to link methylation variation with a predictor variable of interest. Relative to current practice, we argue that sample sizes will need to increase to provide robust insights. We also provide recommendations for overcoming common challenges and an R Shiny app to aid in study design. Bisulfite sequencing is widely used to study genome-scale DNA methylation. In this Review, the authors discuss methodological and statistical considerations related to bisulfite sequencing that are particularly relevant when studying non-model organisms." @default.
- W2953209411 created "2019-06-27" @default.
- W2953209411 creator A5064998221 @default.
- W2953209411 creator A5070647499 @default.
- W2953209411 creator A5074476246 @default.
- W2953209411 creator A5088890784 @default.
- W2953209411 date "2017-07-21" @default.
- W2953209411 modified "2023-10-11" @default.
- W2953209411 title "Maximizing ecological and evolutionary insight in bisulfite sequencing data sets" @default.
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