source · discovered
Understanding the natural language of DNA using encoder–decoder foundation models with byte-level precision
Primary paper retained with its original identifier. Metadata inherited from the literature collection; individual result checks are separate.
Sources and history
Release 2026-09-16-d74d282221a9 · Record review: discovered
No supporting source is linked yet.
Download this releaseTechnical metadata and extraction receipts
Stable ID: enbed-2024
- areas
- dna-genomes
- url
- https://pmc.ncbi.nlm.nih.gov/articles/PMC11341122/
- version
- version of record
- retrieved at
- 2026-09-15T23:25:00Z
- doi
- 10.1093/bioadv/vbae117
- publication status
- peer_reviewed
- year
- 2024
- artifact sha256
- e95d4be70d32e61af5a92eda8ea66f25a2cc629e3f83e7b5241b13cde8bdb83b
- artifact url
- https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11341122/fullTextXML
- artifact retrieved at
- 2026-09-16T10:33:35.378Z
- legacy paper
- id: enbed-2024; title: Understanding the natural language of DNA using encoder–decoder foundation models with byte-level precision; year: 2024; publication status: peer_reviewed; version: version of record; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC11341122/; primary domain: dna-genomes; retrieved utc: 2026-09-15T23:25:00Z; notes: Primary full text via Europe PMC XML; venue: Bioinformatics Advances; PMC ID: PMC11341122.; doi: 10.1093/bioadv/vbae117
- scope decision
- included
- missing metadata
- licence: not_reported_in_legacy_extract