As of 2026-04-07, this wiki contains 10 deeply ingested Long Read WGS papers spanning 2019-2025.

Current picture

  • Long-read WGS shows its clearest advantage in structural variation, insertions, repeat-rich loci, sequencing dead zones, complex rearrangements, phasing, and methylation-aware workflows.
  • Short-read WGS remains more competitive for many SNVs and some deletions outside repetitive regions, so the case for universal long-read first-line use is not fully settled.
  • HiFi currently looks strongest for general variant-calling accuracy in this corpus, while ONT is strongly represented in methylation-aware clinical workflows and scalable population studies.
  • Population-scale long-read SV resources are now valuable not just for discovery but for candidate filtering and ancestry-aware interpretation.

Main tensions

  • targeted long-read deployment for selected cases versus unified long-read clinical workflows
  • intermediate-coverage large-cohort resources versus deeper benchmark-style sequencing
  • platform accuracy advantages versus workflow flexibility and native-molecule advantages

The main entry point for this corpus is 20260407_long-read-wgs-corpus.