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.
%0 Journal Article
%1 pubnet.2005
%A Douglas, Shawn M
%A Montelione, Gaetano T
%A Gerstein, Mark
%D 2005
%J Genome Biolog
%K CAT CAT-NETWORK CAT-ONLINE-SW CAT-REL-USER-SPECIFIED-SHARING-MESH CAT-VIZ co-author mesh shared visualization
%P R80
%T PubNet: a flexible system for visualizing literature derived networks.
%U http://papers.gersteinlab.org/e-print/pubnet/preprint.pdf
%V 6
%X 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.
@article{pubnet.2005,
abstract = {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.},
added-at = {2010-09-20T22:42:53.000+0200},
author = {Douglas, Shawn M and Montelione, Gaetano T and Gerstein, Mark},
biburl = {https://www.bibsonomy.org/bibtex/2986f7852c2f19e2c7645b07449c8bba6/huiyangsfsu},
description = {aisee},
interhash = {25af6f63547da6c48f0ed8bf7773a7ee},
intrahash = {986f7852c2f19e2c7645b07449c8bba6},
journal = {Genome Biolog},
keywords = {CAT CAT-NETWORK CAT-ONLINE-SW CAT-REL-USER-SPECIFIED-SHARING-MESH CAT-VIZ co-author mesh shared visualization},
pages = {R80},
timestamp = {2010-11-12T01:14:47.000+0100},
title = {PubNet: a flexible system for visualizing literature derived networks.},
url = {http://papers.gersteinlab.org/e-print/pubnet/preprint.pdf},
volume = 6,
year = 2005
}