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Related Experiment Video

Updated: Jan 13, 2026

Pattern-based Search of Epigenomic Data Using GeNemo

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

Semantic design: Programming functional genes from genomic context.

Yulin Huang¹, Ping Lin¹

¹Biological Science Research Center, Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, Chongqing Technology Innovation Center of Breeding, Academy for Advanced Interdisciplinary Studies, Southwest University, Chongqing 400715, China.

|January 10, 2026

Summary

This summary is machine-generated.

Semantic design uses the Evo genomic language model to create novel functional genes from genomic context. The SynGenome database contains over 120 billion such sequences for diverse biological applications.

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Last Updated: Jan 13, 2026

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Area of Science:

Genomics
Synthetic Biology
Bioinformatics

Background:

Generative genomic models offer potential for designing biological systems.
Precisely designing functional gene sequences remains a significant challenge.

Purpose of the Study:

To introduce semantic design for generating novel functional genes.
To leverage the Evo genomic language model for sequence design.
To establish the SynGenome database for housing generated sequences.

Main Methods:

Employing the Evo genomic language model.
Utilizing genomic context for sequence generation.
Developing the SynGenome database.

Main Results:

Successful generation of novel functional genes using semantic design.
Creation of the SynGenome database with over 120 billion sequences.
Demonstration of diverse functional capabilities within generated sequences.

Conclusions:

Semantic design provides a powerful approach for functional gene generation.
The SynGenome database represents a significant resource for synthetic biology and genomic research.