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Cited by 438

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Pathview Web: user friendly pathway visualization and data integration

Open access
Luo, Weijun, Pant, Gaurav, Bhavnasi, Yeshvant K., Blanchard, Steven G., Brouwer, Cory·2017·Nucleic Acids Research

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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Metadata

Authors
Luo, W., Pant, G., Bhavnasi, Y. K., Blanchard, S. G., & Brouwer, C.
Venue
Nucleic Acids Research
Published
2017-05-08
Volume
45
Issue
W1
Pages
W501-W508
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2612989432
Cited by
438
References
27
FWCI
11.74
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Pathview Web: user friendly pathway visualization and data integration. https://app.cochat.ai/papers/10.1093/nar/gkx372
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Luo, W., Pant, G., Bhavnasi, Y. K., Blanchard, S. G., & Brouwer, C. (2017). Pathview Web: user friendly pathway visualization and data integration. Nucleic Acids Research. https://doi.org/10.1093/nar/gkx372

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