AI RESEARCH

SCOPE: Siamese Contrastive Operon Pair Embeddings for Functional Sequence Representation and Classification

arXiv CS.AI

ArXi:2605.11022v1 Announce Type: cross Identifying operons is a fundamental step in understanding prokaryotic gene regulation, as classifying genes into operons s the reconstruction of regulatory networks, functional annotation of unannotated genes, and drug candidate development. Experimental approaches such as RT-PCR and RNA-seq provide precise evidence of operon structure, but are laborious and largely limited to well-studied model organisms, making scalable computational methods essential for genome-wide operon identification.