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Genetic differential calculus

Nature Genetics volume 47, pages 965966 (2015) | Download Citation

High-throughput analysis of the phenotypes of mouse genetic knockouts presents several challenges, such as systematic measurement biases that can vary with time. A report from the EUMODIC consortium presents data from 320 genetic knockouts generated using standardized phenotyping pipelines and new statistical analyses aimed at increasing reproducibility across centers.

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Author information


  1. Richard Mott is at the Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.

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The author declares no competing financial interests.

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Correspondence to Richard Mott.

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