Pathview Web: user friendly pathway visualization and data integration.

TitlePathview Web: user friendly pathway visualization and data integration.
Publication TypeJournal Article
Year of Publication2017
AuthorsLuo W, Pant G, Bhavnasi YK, Blanchard SG, Brouwer C
JournalNucleic Acids Res
Volume45
IssueW1
PaginationW501-W508
Date Published2017 Jul 03
ISSN1362-4962
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/.

DOI10.1093/nar/gkx372
Alternate JournalNucleic Acids Res.
PubMed ID28482075
PubMed Central IDPMC5570256