Predicting the effects of multigene perturbations – Nature Reviews Genetics
Roohani et al. have developed a deep learning tool called GEARS that predicts the effects of multigene perturbations.
Roohani et al. have developed a deep learning tool called GEARS that predicts the effects of multigene perturbations.
Nature Biotechnology – Prime editing sensor libraries evaluate diverse genetic variants in their endogenous genomic contexts.
Biology PhD Student at MIT Koch Institute // Sánchez-Rivera Lab – samgould2
Nature Reviews Genetics – In this Review, the authors describe technical and legal protection mechanisms for mitigating vulnerabilities in genomic data privacy. They also discuss…
Nature Reviews Genetics – Applying deep learning to large-scale genomic data of species or populations is providing new opportunities to understand the evolutionary forces that…
Nature Reviews Genetics – This Review discusses how transposable elements contribute to mammalian genome evolution and gene regulation through their ability to both maintain and…
Nature Reviews Genetics – Microbiome epidemiology associates microbial community features with health outcomes, traits or exposures in human host populations. In this Review, the authors…
Nature Reviews Genetics – In this Review, the authors discuss our growing knowledge of the underlying genetics of amyotrophic lateral sclerosis (ALS; also known as…
Nature Reviews Genetics – This Review summarizes the genetic and non-genetic factors that impact the transferability of polygenic risk scores (PRSs) across populations, highlighting the…
Nature – A computational approach to generate reference-free protein families from the sequence space in metagenomes reveals an enormously diverse functional space.
With many large newborn genomic screening studies launching, we need to answer questions about cost, fairness and tangible benefits of a promising technology