Researchers Launched Eukaryotic Gene Prediction Challenge

The global competition aims to improve how scientists predict gene expression profiles across diverse animal species.

Updated on Sept. 24, 2026 in Life Sciences

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Researchers have launched the Eukaryotic Promoter and transcription Initiation prediction Challenge to improve computational gene expression prediction tools for diverse animal species. AI Illustration. Upload story photo >

Researchers have launched the Eukaryotic Promoter and transcription Initiation prediction Challenge (EPIC). The global competition tasks participants with predicting gene expression profiles for five specific non-model animal species.

Why it matters

The project addresses a critical gap in genetics, as existing prediction models lack benchmarks for generalization beyond humans and primary model organisms. By using DNA alone, participants will help refine computational biology tools for broader application.

Teams receive strand-specific, single-nucleotide-resolution initiation profiles covering 80-95% of the genome to build models for the octopus, oyster, milkweed bug, Indian meal moth, and shark.

The players

EPIC

This is the Eukaryotic Promoter and transcription Initiation prediction Challenge designed to advance genomic research.

The details

Participants must predict gene expression profiles for the remaining genome sequence based on DNA information alone. To qualify for consortium authorship on the final publication, teams must clear a specific dinucleotide precision baseline established by the organizers.

Timeline

  1. September 24, 2026: The EPIC challenge announcement was published.

  2. December 31, 2026: The deadline for the prediction challenge.

The Big Picture

This effort shifts the discipline away from human-centric models by creating new benchmarks for diverse life forms. It follows a pattern set by the human genome project benchmarking standards by formalizing how we evaluate complex DNA-to-expression modeling.

Success in this challenge could lead to more robust computational tools for understanding complex genetic traits in various organisms. These advances may eventually improve agricultural research and conservation efforts by providing clearer insights into how different species express their DNA.

The takeaway

Advancing genetic modeling for non-model species is essential for a complete understanding of biology beyond humans. Researchers interested in participating should focus on achieving the required dinucleotide precision to ensure their work qualifies for formal recognition.

What happens next

The challenge concludes on December 31, 2026, after which winning participants will be invited to join as authors on the official post-challenge scientific publication.

Further reading

Explore more developments in the field at Life Sciences.

More information

View the full details in the EPIC challenge scientific preprint.