• Mashup Score: 16

    The authors review the field of mammalian mitochondrial genome engineering, culminating in the recent development of mitochondrially targeted programmable nucleases and base editors. They describe research that led to the development of animal models of mitochondrial disease, as well as the potential for translating these approaches to the clinic.

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    • Free for 1 month! The potential of mitochondrial genome engineering https://t.co/y2TY2LWs2u #Review by Pedro Silva-Pinheiro & Michal Minczuk @mito_gene @MRC_MBU @Cambridge_Uni

  • Mashup Score: 0

    Machine learning is widely applied in various fields of genomics and systems biology. In this Review, the authors describe how responsible application of machine learning requires an understanding of several common pitfalls that users should be aware of (and mitigate) to avoid unreliable results.

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    • A review of interrelated pitfalls of applying supervised machine learning to genomics toward improving trustworthiness of ML models https://t.co/dZ8h2CisqX @NatureRevGenet (with accompanying interactive notebooks https://t.co/AvjtxywHKL) https://t.co/3oltoBl5yA