GAnnoViz integrates chromosome-level visualization and feature annotation in multi-omics, suggesting enhanced biological insights.
With multi‐omics approaches increasingly employed to investigate multidimensional biological systems, current workflows often lack sufficient integration with the underlying genome, limiting comprehensive understanding of genomic structure and chromosomal preferences of candidate genes. Here, we present GAnnoViz ( https://github.com/benben‐miao/GAnnoViz/ ), a cloud‐integrated framework for chromosome‐level feature annotation and visualization in biomedical multi‐omics, encompassing 30+ analytical and visualization modules across five key areas: acquisition of species genomic annotations, extraction of genomic features, drawing of gene structures, sliding window annotation, and chromosome‐scale visualization of multi‐omics. It supports genomic annotation retrieval for 349 species from Ensembl, GFF3 or GTF format compatibility, and an interactive interface deployed on the HiPlot cloud platform. Through three representative application scenarios, we demonstrated GAnnoViz's flexibility in gene structure exploration and utility in annotating and visualizing transcriptomic and epigenomic results, bridging multi‐omics findings with genome architecture for comprehensive biological interpretation at the chromosome scale.
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Miao et al. (2026) studied this question.
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