A unified single-cell platform combines receptor sequencing and dynamic visualization to identify antigen-specific immune clonotypes.
Aligning tumor sequence reads to population-specific reference graphs improves TMB estimates without requiring additional non-tumor samples.
A machine learning model uses coarse-grained nodes and torsion frames to generate desirable protein structures with less computation.
Fixed-size graph records connect mutations, patients, and clinical data, enabling fast queries as new associations are added.
This haplotype visualization tool uses barcode data to identify breakpoints and display structural variation and phasing information.