Visualizing aggregated biological pathway relations

Authors:
Byron Marshall;Karin Quiñones;Hua Su;Shauna Eggers;Hsinchun Chen
Affiliations:
University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ
Venue:
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Year:
2005

Citing 2
Cited 0

GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data

Journal of Biomedical Informatics
Extracting gene pathway relations using a hybrid grammar: the Arizona Relation Parser

Bioinformatics

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Abstract

The Genescene development team has constructed an aggregation interface for automatically-extracted biomedical pathway relations that is intended to help researchers identify and process relevant information from the vast digital library of abstracts found in the National Library of Medicine's PubMed collection. Users view extracted relations at various levels of relational granularity in an interactive and visual node-link interface. Anecdotal feedback reported here suggests that this multi-granular visual paradigm aligns well with various research tasks, helping users find relevant articles and discover new information.