bioRxiv
Verdict: NotableAlphaGenome informed machine learning for pathogenicity prediction of germline mutations
Accurate interpretation of germline variants remains a central challenge in clinical genomics.
Genomes, cells, brains, and the tools that read and write them.
bioRxiv
Verdict: NotableAccurate interpretation of germline variants remains a central challenge in clinical genomics.
Droplet microfluidics underpins many single-cell, precision biomedical, and nanomaterial techniques.
Most low-biomass disease-microbe associations measure biomass, not disease.
Human genetic variation is a powerful driver of therapeutic target prioritization, yet current models struggle to aggregate variable numbers of variants per gene and are bottlenecked by ....
Molecular structures contain rich information about biomolecular interactions, but translating this information into clear, scientifically informative figures remains a largely manual ....
Antibody engineering campaigns must prioritise variants from large combinatorial libraries under limited assay budgets.
Traditional genome-wide association studies have primarily focused on detecting main genotype effects, often overlooking genotype-environment interactions (GxE), which are essential for ....