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Genomic Language Models (gLMs) decode bacterial genomes for improved gene prediction and translation initiation site identification

2025-03-22

Abstract excerpt

Accurate bacterial gene prediction is essential for understanding microbial functions and advancing biotechnology. Traditional methods based on sequence homology and statistical models often struggle with complex genetic variations and novel sequences due to their limited ability to interpret the “language of genes.” To overcome these challenges, we explore Genomic Language Models (gLMs) —inspired by Large Languag...

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Literature Corpus work
65febadd-991b-56d2-9a65-49991411e7d6
DOI
10.1101/2025.03.20.644312
Open publication

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Genomic Language Models (gLMs) decode bacterial genomes for improved gene prediction and translation initiation site identificationDOI 10.1101/2025.03.20.644312
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