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. 2015 Dec 1;31(23):3835-7.
doi: 10.1093/bioinformatics/btv454. Epub 2015 Aug 4.

ERC analysis: web-based inference of gene function via evolutionary rate covariation

Nicholas W Wolfe  1 , Nathan L Clark  1
Affiliations

ERC analysis: web-based inference of gene function via evolutionary rate covariation

Nicholas W Wolfe et al. Bioinformatics. .

Abstract

The recent explosion of comparative genomics data presents an unprecedented opportunity to construct gene networks via the evolutionary rate covariation (ERC) signature. ERC is used to identify genes that experienced similar evolutionary histories, and thereby draws functional associations between them. The ERC Analysis website allows researchers to exploit genome-wide datasets to infer novel genes in any biological function and to explore deep evolutionary connections between distinct pathways and complexes. The website provides five analytical methods, graphical output, statistical support and access to an increasing number of taxonomic groups.

Availability and implementation: Analyses and data at http://csb.pitt.edu/erc_analysis/

Contact: nclark@pitt.edu.

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Figures

Fig. 1.
Fig. 1.
The ERC Analysis website offers five functions and provides results complete with tables and statistical analysis for each custom query
See this image and copyright information in PMC

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References

    1. Cherry J.M., et al. (2012) Saccharomyces Genome Database: the genomics resource of budding yeast. Nucleic Acids Res., 40(Database issue), D700–D705. - PMC - PubMed
    1. Clark N.L., et al. (2012) Evolutionary rate covariation reveals shared functionality and co-expression of genes. Genome Res., 22, 714–720. - PMC - PubMed
    1. Clark N.L., et al. (2013) Evolutionary rate covariation involving meiotic proteins results from fluctuating evolutionary pressure in yeasts and mammals. Genetics, 193, 529–538. - PMC - PubMed
    1. Dos Santos G., et al. (2015) FlyBase: introduction of the Drosophila melanogaster Release 6 reference genome assembly and large-scale migration of genome annotations. Nucleic Acids Res., 43, D690—D697. - PMC - PubMed
    1. Findlay G.D., et al. (2014) Evolutionary rate covariation identifies new members of a protein network required for Drosophila female post-mating responses. PLoS Genet., 10, e1004108. - PMC - PubMed

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