Automated whole-brain analysis of gene expression at cellular resolution detects previously overlooked phenotypes in mutants and reveals parallels between the forebrains of zebrafish and mammals.

Deep skeletal phenotyping in adult zebrafish reveals enhanced sensitivity of phenomic patterns in discriminating mutant populations.

The abundance of mosaic variants detected directly in sperm accurately predicts their transmission to concepti.

Text mining of complete EHRs for 14,017 diabetes patients and subsequent clustering led to phenotypically deep clusters, showing distinct glycemic profiles, comorbidities, and SNP association patterns.

Melanin staining for micro-CT imaging, using a novel application of ionic silver deposition, enables qualitative and quantitative 3D analysis of zebrafish pigmentation and reveals subtle phenotypes missed by light microscopy.

A bulk barcoded quantitative trait locus approach increases the power and resolution of genotype-phenotype mapping in yeast, revealing that the genetic architecture of 18 complex traits is highly polygenic, and is characterized by widespread epistatic interactions and pleiotropic effects.

Deep learning on fundus images provides a non-invasive, short time-scale biological aging clock that successfully identifies aging genes validated in a fly model.

A female specifically expressed new protein-coding gene that has emerged out of non-coding sequences without detectable signatures of adaptive evolution affects female pregnancy cycles.

Zebrafish knockouts can be generated in a few hours directly from wild-type eggs and are suitable for studying continuous traits, including behaviour.

Gene knock-out of the omega-1 ribonuclease of Schistosoma mansoni eggs resulted in immunologically impaired phenotype, showcasing the novel application of CRISPR/Cas9 genome editing and utility for functional genomics in schistosomes.