Pathview Web: user friendly pathway visualization and data integration

Weijun Luo(University of North Carolina at Charlotte), Gaurav Pant(University of North Carolina at Charlotte), Yeshvant K. Bhavnasi(University of North Carolina at Charlotte), Steven G. Blanchard(University of North Carolina at Charlotte), Cory Brouwer(University of North Carolina at Charlotte)
Nucleic Acids Research
April 24, 2017
Cited by 467Open Access
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Abstract

Pathway analysis is widely used in omics studies. Pathway-based data integration and visualization is a critical component of the analysis. To address this need, we recently developed a novel R package called Pathview. Pathview maps, integrates and renders a large variety of biological data onto molecular pathway graphs. Here we developed the Pathview Web server, as to make pathway visualization and data integration accessible to all scientists, including those without the special computing skills or resources. Pathview Web features an intuitive graphical web interface and a user centered design. The server not only expands the core functions of Pathview, but also provides many useful features not available in the offline R package. Importantly, the server presents a comprehensive workflow for both regular and integrated pathway analysis of multiple omics data. In addition, the server also provides a RESTful API for programmatic access and conveniently integration in third-party software or workflows. Pathview Web is openly and freely accessible at https://pathview.uncc.edu/.


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