R spider: a network-based analysis of gene lists by combining signaling and metabolic pathways from Reactome and KEGG databases - PubMed (original) (raw)

. 2010 Jul;38(Web Server issue):W78-83.

doi: 10.1093/nar/gkq482. Epub 2010 Jun 2.

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R spider: a network-based analysis of gene lists by combining signaling and metabolic pathways from Reactome and KEGG databases

Alexey V Antonov et al. Nucleic Acids Res. 2010 Jul.

Abstract

R spider is a web-based tool for the analysis of a gene list using the systematic knowledge of core pathways and reactions in human biology accumulated in the Reactome and KEGG databases. R spider implements a network-based statistical framework, which provides a global understanding of gene relations in the supplied gene list, and fully exploits the Reactome and KEGG knowledge bases. R spider provides a user-friendly dialog-driven web interface for several model organisms and supports most available gene identifiers. R spider is freely available at http://mips.helmholtz-muenchen.de/proj/rspider.

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Figures

Figure 1.

Figure 1.

Network model D3 returned by R spider on submission of 360 candidate genes residing in regions with copy number alteration typical of the Sézary syndrome (37). Boxes represent input genes, triangles represent intermediate genes (genes that are added to connect two input genes, for model D3 up to two intermediate genes are allowed between any two input genes), circles represent compounds which are common substrates or products for both connected genes. Diamonds are used to specify the colour of canonical Reactome or KEGG pathways.

References

    1. Draghici S, Khatri P, Martins RP, Ostermeier GC, Krawetz SA. Global functional profiling of gene expression. Genomics. 2003;81:98–104. - PubMed
    1. Khatri P, Draghici S, Ostermeier GC, Krawetz SA. Profiling gene expression using onto-express. Genomics. 2002;79:266–270. - PubMed
    1. Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub TR, Lander ES, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl Acad. Sci. USA. 2005;102:15545–15550. - PMC - PubMed
    1. Reimand J, Kull M, Peterson H, Hansen J, Vilo J. g:Profiler—a web-based toolset for functional profiling of gene lists from large-scale experiments. Nucleic Acids Res. 2007;35:W193–W200. - PMC - PubMed
    1. Masseroli M, Martucci D, Pinciroli F. GFINDer: Genome Function INtegrated Discoverer through dynamic annotation, statistical analysis, and mining. Nucleic Acids Res. 2004;32:W293–W300. - PMC - PubMed

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