Open AccessGraph-based analysis and visualization of experimental results with ONDEX
Author(s) -
Jacob Köhler,
Jan Baumbach,
Jan Taubert,
Michael Specht,
Andre Skusa,
Alexander Rüegg,
Chris Rawlings,
Paul Verrier,
Stephan Philippi
Publication year - 2006
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btl081
Subject(s) - computer science , visualization , biological database , graph , relevance (law) , software , dna microarray , informatics , data mining , information retrieval , computational biology , data science , gene , bioinformatics , biology , gene expression , theoretical computer science , genetics , programming language , law , political science , engineering , electrical engineering
Assembling the relevant information needed to interpret the output from high-throughput, genome scale, experiments such as gene expression microarrays is challenging. Analysis reveals genes that show statistically significant changes in expression levels, but more information is needed to determine their biological relevance. The challenge is to bring these genes together with biological information distributed across hundreds of databases or buried in the scientific literature (millions of articles). Software tools are needed to automate this task which at present is labor-intensive and requires considerable informatics and biological expertise.
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