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June 16, 2025
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Lausanne
CLOP: Omics Pretraining
We present CLOP, a model trained on fasta, bed, and gff files to embed DNA sequences by species and biotype for retrieval, classification and generation.
Overview
CLOP is an adaptation of OpenAI’s CLIP but for Omics - in this demo, genomics. The model is trained on fasta, bed and gff files (representing genomes of different species and their annotations) to learn meaningful representations for further retrieval, classification and generation purposes. The model embeds DNA sequences according to species and biotype (e.g. exon, long non coding RNA, pseudogene, etc.)
Links
Demonstrates Git version control and AWS cloud threat detection methodologies.
CLOP visualizes biological embeddings (UMAP/t-SNE) and zero-shot classifies DNA via ONNX.
Tech stack