ArticleGenome biology2002
The society of genes: networks of functional links between genes from comparative genomics.
Article in Genome biology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Comparative analysis of differential proteome-wide protein-protein interaction network ofBiochemistry and biophysics reports · 2019Article
- A Network of Splice Isoforms for the Mouse.Scientific reports · 2016Article
- Using VisANT to Analyze Networks.Current protocols in bioinformatics · 2014Article
- Ranking transitive chemical-disease inferences using local network topology in the comparative toxicogenomics database.PloS one · 2012Article
- Swiftly computing center strings.BMC bioinformatics · 2011Article
- A complex-based reconstruction of the Saccharomyces cerevisiae interactome.Molecular & cellular proteomics : MCP · 2009Article
- Comparative phylogenomics and multi-gene cluster analyses of the Citrus Huanglongbing (HLB)-associated bacterium Candidatus Liberibacter.BMC research notes · 2008Article
- Practical and theoretical advances in predicting the function of a protein by its phylogenetic distribution.Journal of the Royal Society, Interface · 2008Review
- Empirical multiscale networks of cellular regulation.PLoS computational biology · 2007Article
- Hypothetical protein AF2241 from Archaeoglobus fulgidus adopts a cyclophilin-like fold.Journal of biomolecular NMR · 2007Article
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- A phylogenomic analysis of the Actinomycetales mce operons.BMC genomics · 2007Article
- Gene annotation and network inference by phylogenetic profiling.BMC bioinformatics · 2006Article
- The outcomes of pathway database computations depend on pathway ontology.Nucleic acids research · 2006Article
- Evolutionary, structural and functional relationships revealed by comparative analysis of syntenic genes in Rhizobiales.BMC evolutionary biology · 2005Article
- Prediction of functional modules based on comparative genome analysis and Gene Ontology application.Nucleic acids research · 2005Article
- The yeast coexpression network has a small-world, scale-free architecture and can be explained by a simple model.EMBO reports · 2004Article
- VisANT: an online visualization and analysis tool for biological interaction data.BMC bioinformatics · 2004Article
- Article
- PANDORA: keyword-based analysis of protein sets by integration of annotation sources.Nucleic acids research · 2003Article
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2 authors.
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Abstract
backgroundComparative genomics provides at least three methods beyond traditional sequence similarity for identifying functional links between genes: the examination of common phylogenetic distributions, the analysis of conserved proximity along the chromosomes of multiple genomes, and observations of fusions of genes into a multidomain gene in another organism. We have previously generated the links according to each of these methods individually for 43 known microbial genomes. Here we combine these results to construct networks of functional associations.
resultsWe show that the functional networks obtained by applying these methods have different topologies and that the information they provide is largely additive. In particular, the combined networks of functional links contain an average of 57% of an organism's complete genetic complement, uncover substantial portions of known pathways, and suggest the function of previously unannotated genes. In addition, the combined networks are qualitatively different from the networks obtained using individual methods. They have a dominant cluster that contains approximately 80%-90% of the genes, independent of genome size, and the dominant clusters show the small world behavior expected of a biological system, with global connectivity that is nearly random, and local properties that are highly ordered.
conclusionsWhen the information on functional linkage provided by three emerging computational methods is combined, the integrated network uncovers large numbers of conserved pathways and identifies clusters of functionally related genes. It therefore shows considerable utility and promise as a tool for understanding genomic structure, and for guiding high throughput experimental investigations.
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