PubNet: a flexible system for visualizing literature derived networks

We have developed PubNet, a web-based tool that extracts several types of relationships returned by PubMed queries and maps them into networks, allowing for graphical visualization, textual navigation, and topological analysis. PubNet supports the creation of complex networks derived from the conten...

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Detalles Bibliográficos
Autores principales: Douglas, Shawn M, Montelione, Gaetano T, Gerstein, Mark
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1242215/
https://www.ncbi.nlm.nih.gov/pubmed/16168087
http://dx.doi.org/10.1186/gb-2005-6-9-r80
Descripción
Sumario:We have developed PubNet, a web-based tool that extracts several types of relationships returned by PubMed queries and maps them into networks, allowing for graphical visualization, textual navigation, and topological analysis. PubNet supports the creation of complex networks derived from the contents of individual citations, such as genes, proteins, Protein Data Bank (PDB) IDs, Medical Subject Headings (MeSH) terms, and authors. This feature allows one to, for example, examine a literature derived network of genes based on functional similarity.

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