source · discovered

PolyA-GLM: A comprehensive framework for De novo polyadenylation site prediction using genome language models

Primary paper retained with its original identifier. Metadata inherited from the literature collection; individual result checks are separate.

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Release 2026-09-16-d74d282221a9 · Record review: discovered

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Technical metadata and extraction receipts

Stable ID: polya-glm-2025

areas: dna-genomes
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12799945/
version: journal full text in PMC
retrieved at: 2026-09-15T23:33:26Z
doi: 10.1016/j.csbj.2025.12.011
publication status: peer_reviewed
year: 2025
artifact sha256: e9ebd53d88837ad8d457881ffee918d2734dcae87d3c5cd03135947b6cf5dbde
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12799945/fullTextXML
artifact retrieved at: 2026-09-16T10:38:57.558220+00:00
legacy paper: id: polya-glm-2025; title: PolyA-GLM: A comprehensive framework for De novo polyadenylation site prediction using genome language models; year: 2025; publication status: peer_reviewed; version: journal full text in PMC; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12799945/; primary domain: dna-genomes; retrieved utc: 2026-09-15T23:33:26Z; doi: 10.1016/j.csbj.2025.12.011; notes: Numeric result checked against Table 1 in primary full-text XML; journal/source: Computational and Structural Biotechnology Journal.
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

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