source · discovered

2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model

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: 2ome-lm-2025

areas: rna-transcriptomes
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12342186/
version: journal full text in PMC
retrieved at: 2026-09-15T23:33:26Z
doi: 10.1093/bioinformatics/btaf417
publication status: peer_reviewed
year: 2025
artifact sha256: 54fe4db6f35c03d0d4f3ef4da720eb26a832199372c56d0956609ff07af750ee
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12342186/fullTextXML
artifact retrieved at: 2026-09-16T10:33:38.332Z
legacy paper: id: 2ome-lm-2025; title: 2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model; year: 2025; publication status: peer_reviewed; version: journal full text in PMC; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12342186/; primary domain: rna-transcriptomes; retrieved utc: 2026-09-15T23:33:26Z; doi: 10.1093/bioinformatics/btaf417; notes: Numeric result checked against Table 1. in primary full-text XML; journal/source: Bioinformatics.
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

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