source · discovered
ProkBERT family: genomic language models for microbiome applications
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: prokbert-2024
- areas
- microbes-communities
- url
- https://pmc.ncbi.nlm.nih.gov/articles/PMC10810988/
- version
- PMC10810988.1
- retrieved at
- 2026-09-15T23:25:00Z
- doi
- 10.3389/fmicb.2023.1331233
- publication status
- peer_reviewed
- year
- 2024
- artifact sha256
- 8610e2a54aa877c8dc565a9cdb6e82099f284c5e0907a52cab18d994ea732436
- artifact url
- https://www.ebi.ac.uk/europepmc/webservices/rest/PMC10810988/fullTextXML
- artifact retrieved at
- 2026-09-16T10:33:36.197Z
- legacy paper
- id: prokbert-2024; title: ProkBERT family: genomic language models for microbiome applications; year: 2024; publication status: peer_reviewed; version: PMC10810988.1; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC10810988/; primary domain: microbes-communities; retrieved utc: 2026-09-15T23:25:00Z; notes: Primary full text via Europe PMC XML; venue: Frontiers in Microbiology; PMC ID: PMC10810988.; doi: 10.3389/fmicb.2023.1331233
- scope decision
- included
- missing metadata
- licence: not_reported_in_legacy_extract