CoCoCoNet: conserved and comparative co-expression across a diverse set of species. Issue Volume 48:Issue W1(2020) (11th May 2020)

• Record Type: Journal Article
• Authors: Lee, John; Shah, Manthan; Ballouz, Sara; Crow, Megan; Gillis, Jesse
• Is Part Of: Nucleic acids research. Volume 48:Issue W1(2020)
• Page Start: W566
• Page End: W571
• Publication Date: 2020-05-11
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkaa348
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: Co-expression analysis has provided insight into gene function in organisms from Arabidopsis to zebrafish. Comparison across species has the potential to enrich these results, for example by prioritizing among candidate human disease genes based on their network properties or by finding alternative model systems where their co-expression is conserved. Here, we present CoCoCoNet as a tool for identifying conserved gene modules and comparing co-expression networks. CoCoCoNet is a resource for both data and methods, providing gold standard networks and sophisticated tools for on-the-fly comparative analyses across 14 species. We show how CoCoCoNet can be used in two use cases. In the first, we demonstrate deep conservation of a nucleolus gene module across very divergent organisms, and in the second, we show how the heterogeneity of autism mechanisms in humans can be broken down by functional groups and translated to model organisms. CoCoCoNet is free to use and available to all at https://milton.cshl.edu/CoCoCoNet, with data and R scripts available at ftp://milton.cshl.edu/data .