OmixLitMiner 2: Guided Literature Mining for Automated Categorization of Marker Candidates in Omics Studies.

ABSTRACT: Omics analyses are crucial for understanding molecular mechanisms in biological research. The vast quantity of detected biomolecules presents a significant challenge in identifying potential biomarkers. Traditional methods rely on labor-intensive literature mining to extract meaningful insights from long lists of regulated candidates of biomolecules. To address this, we developed OmixLitMiner 2 (OLM2) to improve the efficiency of omics data interpretation, speed up the validation of results and accelerate further evaluation based on the selection of marker candidates for subsequent experiments. The updated tool utilizes UniProt for synonym and protein name retrieval and employs the PubMed database as well as PubTator 3.0 for searching titles or abstracts of available biomedical literature.

SUBMITTER: Gocke A 

PROVIDER: S-EPMC12704037 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature