Clay weekly context brief for the Quantitative Biology category (ISO week 2026-W46). Clay tracks publications from the Quantitative Biology feed list. Below are recent items from this category, each with its source and a short description of what the publication covers when one is available in the source feed. Recent publications: 1. Pangenome Peeling: Decomposing Weighted Adjacencies into Path-Forest Genomes Source: q-bio.GN (Genomics) Link: https://arxiv.org/abs/2611.09533 One aspect of pangenome analysis that has received little attention is the recovery of the individual genomes that gave rise to a pangenome graph. 2. Atomic Trajectory Modeling with State Space Models for Biomolecular Dynamics Source: q-bio.BM (Biomolecules) Link: https://arxiv.org/abs/2603.17633 Understanding the dynamic behavior of biomolecules is fundamental to elucidating biological function and facilitating drug discovery. 3. Navigating Selection Bias in Genome-wide Association Studies (GWAS) Source: q-bio.GN (Genomics) Link: https://arxiv.org/abs/2611.09429 Selection bias arises when inclusion in a genetic study depends on traits, or causes of traits, that are associated with genotype. 4. Hybrid Quantum-Classical Annealing for Protein Side-Chain Optimization: A Feasibility Study Source: q-bio.BM (Biomolecules) Link: https://arxiv.org/abs/2611.08696 Hybrid quantum-classical annealing solvers are moving from research laboratories toward industrial use, but their advantage over classical optimization appears to be confined to a narrow class of problems. 5. AutoCSF: Provably Space-Efficient Indexing of Skewed Key-Value Workloads via Filter-Augmented Compressed Static Functions Source: q-bio.GN (Genomics) Link: https://arxiv.org/abs/2603.24882 We study the problem of building space-efficient, in-memory indexes for massive key-value datasets with highly skewed value distributions. Sources in this brief: q-bio.BM (Biomolecules); q-bio.GN (Genomics). Selected 5 of 5 available items for this weekly brief.