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Article révisé par les pairs
Résumé : While simplistic volcano plot visualizations of multi‐omics changes can highlight the most critical genomic, transcriptomic, or proteomic features, integrative frameworks combining literature evidence, pathway associations, and functional annotation remain limited. We present MagmaFlow, a cross‐platform application offering three key capabilities: literature‐based gene scoring, interactive pathway‐to‐volcano mapping, and synchronized cross‐view updates. The literature module retrieves gene associations from PubMed via PubTator3, provides direct PubMed identifier (PMID) links, and ranks genes by context‐specific relevance. The pathway module visualizes enrichment as multi‐layer circle plots displaying cross‐pathway membership, automatically synchronized with volcano selections. Interactive features include smart label positioning, drag‐and‐drop annotation, double‐click gene targeting, and customizable styles for publication‐quality figures. Thus, MagmaFlow transforms volcano plot analysis from static display into dynamic biological interpretation. To our knowledge, this is the first tool integrating artificial intelligence‐powered literature contextualization and enrichment analysis to convert differential expression data into actionable insights.

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