SBGNview: Data Analysis, Integration and Visualization on All Pathways

Abstract

Pathway analysis is widely used in genomics and omics research, but the data visualization has been highly limited in function, pathway coverage and data format. Here we develop SBGNview a comprehensive solution to address these needs. By adopting the standard SBGN format, SBGNview greatly extend the coverage of pathway based analysis and data visualization to essentially all major pathway databases beyond KEGG, including 5200 reference pathways and over 3000 species. In addition, SBGNview substantially extends current tools in both design and function, including standard coherent input/output formats, high quality graphics convenient for both computational and manual analysis, and flexible and open-end workflow. In addition to pathway analysis and data visualization, SBGNview provides essential infrastructure for SBGN data manipulation and processing. SBGNview is available online: https://github.com/datapplab/SBGNview.