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Robin Haw, Colin Diesh, Caroline Bridge, Rob Buels, Garrett Stevens, Peter Xie, Teresa Martinez, Elliot Hershberg, Junjun Zhang, Shihab Dider, Scott Cain, Lincoln Stein, Ian Holmes (Ontario Institute for Cancer Research, Toronto, Canada; University of California, Berkeley, USA)
The interpretation of large, complex, and multivariate genomic information generated by sequencing technologies is significantly aided by data visualization. A genome browser provides a user-friendly graphical interface to visualize, browse, query, and integrate genomic sequence and annotation data. The JBrowse 2 genome browser (https://jbrowse.org) is a comprehensive, pluggable, open-source, platform for visualizing and integrating biological data. JBrowse 2 provides several web dashboards that combine novel views and representations extending beyond linear displays. As a web-based or desktop application, JBrowse 2 also has a thriving ecosystem of community-contributed plugins that enables users to create: 1) new visualizations (e.g. Manhattan plots, ideograms, and dot plots), 2) integrate cancer genomics data (e.g. NCI Genomic Data Commons and the International Cancer Genome Consortium), and 3) analyze genomic data in the context of biological data (e.g. Reactome biological pathways). JBrowse 2 provides graphical representations of genomics data to improve communication, making it understandable, explorable, or easing the knowledge discovery process.