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This Perspective highlights privacy issues related to the sharing of functional genomics data, including genotype and phenotype information leakage from different functional genomics data types and their summarization steps. The authors also review the techniques that will enable broad sharing and analysis while maintaining privacy.
In this Perspective article, Oh and Petronis discuss emerging evidence of time-dependent patterns of DNA modification and describe how incorporating this ‘chrono-epigenetic’ perspective could add value and interpretability in human disease studies.
In this Perspective, Teschendorff and Feinberg describe how single-cell analysis methods based on statistical mechanics can provide valuable insights into developmental phenomena, such as differentiation potency and lineage trajectories, as well as disruption of these processes in cancer.
