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Graphs in molecular biology

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Sep 2007Publisher:Springer Science and Business Media LLCJournal:BMC Bioinformatics, volume 8 (eissn: 1471-2105,

Authors: Li Long; Wolfgang Huber; Robert Gentleman; Seth Falcon; Vincent J. Carey;

doi: 10.1186/1471-2105-8-s6-s8

pmid: 17903289

pmc: PMC1995545

Graphs in molecular biology

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Abstract

Graph theoretical concepts are useful for the description and analysis of interactions and relationships in biological systems. We give a brief introduction into some of the concepts and their areas of application in molecular biology. We discuss software that is available through the Bioconductor project and present a simple example application to the integration of a protein-protein interaction and a co-expression network.

Related Organizations

Brigham and Women's Faulkner Hospital
United States
Fred Hutchinson Cancer Research Center
South Africa
Brigham and Women's Hospital
United States
European Molecular Biology Laboratory
Germany
University of Lausanne
Switzerland

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Keywords

Proteome, Transcription, Genetic, QH301-705.5, Gene Expression Profiling, Computer applications to medicine. Medical informatics, R858-859.7, Computational Biology, Review, Biochemistry, Models, Biological, Computer Science Applications, Gene Expression Regulation, Computer Graphics, Computer Simulation, Biology (General), Molecular Biology, Algorithms, Oligonucleotide Array Sequence Analysis, Signal Transduction

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	102
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%