GW: ultra-fast chromosome-scale visualization of genomics data

Cleal, Kez, Kearsey, Alexander and Baird, Duncan M. ORCID: https://orcid.org/0000-0001-8408-5467 2025. GW: ultra-fast chromosome-scale visualization of genomics data. Nature Methods 10.1038/s41592-025-02749-5 Item availability restricted.

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Abstract

Current genome browsers such as the Integrative Genomics Viewer (IGV)1 and JBrowse2 (ref. 2) are invaluable for exploring aligned sequencing reads and verifying variant calls, but often lack the speed offered by high-performance libraries and frameworks. In particular, current tools struggle to visualize large genomic regions, which is a common need when investigating complex chromosomal rearrangements that can encompass megabases3,4. Exploring collections of variants and manually annotating data remain cumbersome owing to slow loading times or the requirement for static image generation.

Item Type:	Article
Date Type:	Published Online
Status:	In Press
Schools:	Professional Services > Advanced Research Computing @ Cardiff (ARCCA) Schools > Medicine
Publisher:	Nature Research
ISSN:	1548-7091
Date of First Compliant Deposit:	2 April 2025
Date of Acceptance:	16 December 2024
Last Modified:	02 Jul 2025 10:45
URI:	https://orca.cardiff.ac.uk/id/eprint/177353

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