# RefSeq Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/refseq
> Markdown URL: https://aitinkerers.org/technologies/refseq.md
> Technology record last updated: 2026-02-26T13:03:49Z
> Generated: 2026-09-22T02:43:21Z

NCBI's curated, non-redundant suite of genomic, transcript, and protein sequences serving as the gold standard for clinical and comparative genomics.

Managed by the National Center for Biotechnology Information (NCBI), RefSeq provides a stable reference for gene identification and mutation analysis. The database tracks over 200 million sequences across 100,000+ organisms (ranging from viruses to the human GRCh38.p14 assembly). Each record (such as NM_000546.6 for the TP53 gene) undergoes rigorous automated processing or manual curation by staff scientists to ensure biological accuracy. This dataset integrates directly with tools like BLAST and the Gene database: it remains the industry standard for sequence alignment and functional annotation in clinical diagnostics.

- Official technology site: https://www.ncbi.nlm.nih.gov/refseq/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Contrasting Language Omics Pretraining](https://lausanne.aitinkerers.org/talks/rsvp_ZjMIQM_LY9M)

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.)

- Event context: AI Tinkerers Lausanne June 2025 Meetup — 2025-06-16 — Lausanne
- Public talk page: https://lausanne.aitinkerers.org/talks/rsvp_ZjMIQM_LY9M

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