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The largest single cell perturbation dataset to-date will be generated and released open source in a new team effort.

Biological heterogeneity in autism can illuminate precision psychiatry and improve insights from primate brain mapping data.

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

Project LiBRha aims to improve pediatric STS diagnosis and treatment through comprehensive molecular testing and liquid biopsy integration. The initiative involves 18 centers and partnerships with the ...

Caris and Everlywell are partnering to launch Caris Detect™, Caris' forthcoming Multi-Cancer Early Detection (MCED) ...

Key opportunities lie in next-generation sequencing methods, with hospitals as major end-users and North America as a ...

Fresh fruits and vegetables are invaluable for human health and diet, but their quality deteriorates before reaching ...

Sensorineural hearing loss (SNHL) is a highly prevalent sensory disorder globally, affecting over 1.5 billion people, with a ...

The glial-specific role of betaPix during cerebral blood vessel development has been revealed by establishing a new betaPix conditional trap allele in zebrafish.