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Predicting genome-wide functional constraints with GPN-Star

Research Bioinformatics AI

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TL;DR - GPN-Star is a genomic language model designed to predict genome-wide functional constraints and genetic variant effects across species. Its phylogeny-aware architecture processes whole-genome alignment data with an emphasis on scalability and flexibility.

  • Uses evolutionary relationships encoded in whole-genome alignments.
  • Supports cross-species genetic variant effect prediction.
  • Targets scalable analysis of functional constraints across entire genomes.
  • The provided abstract does not include quantitative performance results.

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Predicting genome-wide functional constraints with GPN-Star

Nature Chengzhong Ye, Gonzalo Benegas, Carlos Albors, Jianan Canal Li, Sebastian Prillo, Peter D. Fields, Brian Clarke, Yun S. Song 2026-09-09 doi:10.1038/s41586-026-11005-5
Public signals OpenAlex citations 0
Providers: Hugging Face · N/A OpenAlex · Citations 0 Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-25 14:21:37.860626 UTC

TL;DR - GPN-Star is a genomic language model designed to predict genome-wide functional constraints and genetic variant effects across species. Its phylogeny-aware architecture processes whole-genome alignment data with an emphasis on scalability and flexibility.

  • Uses evolutionary relationships encoded in whole-genome alignments.
  • Supports cross-species genetic variant effect prediction.
  • Targets scalable analysis of functional constraints across entire genomes.
  • The provided abstract does not include quantitative performance results.
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