spearfish Paper: Δ-Mapping Speeds Up Long-Read Alignment to Redundant Transcriptomes
anshulkundaje · x · 2026-11-08
- Rob Patro's group (U. Maryland) and collaborators released spearfish on bioRxiv: an ultrafast long-read mapper built for redundant transcriptomes, where isoforms share most sequence and gene families add near-copies.
- Core idea: Δ-mapping computes each target's alignment-score difference from the best candidate; sequence shared by all candidates is skipped since it can't change the difference, and divergent regions are aligned once per distinct sequence instead of once per isoform.
- Seeds come from locally consistent parsing (LCP); collapsing them yields a de Bruijn-like core graph bounded by distinct exonic sequence plus a small per-splice-junction term. Code is available.
More from Research
- Agent swarms show endogenous division of scientific labor across 1,800 sessions — _AustinCalvert_ · 2026-11-08
- Cambridge UP to publish practical guide to ML for medical research — RexDouglass · 2026-11-08
- Claude Opus agents' shared wiki hits 48% on grading after 128M dreaming tokens, same model throughout — imjustnewatai · 2026-11-08
- Author clarifies perturbation analyses offer many lessons, not one — ajratner · 2026-11-08
- Human2Any Transfers Human Video Skills to Robots with Zero Real-World Training Data — danfei_xu · 2026-11-08
- "Intelligence Is Not a Scalar": An X Thread Argues Architecture Research Still Matters for AGI — max_paperclips · 2026-11-08