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ERC Analysis
Evolutionary Rate Covariation (ERC) Analysis
Before beginning, it is strongly recommended to read the section on "How to Use ERC" in the Methods tab.
ERC measures correlated rates across a phylogeny, allowing for extraction of genes with similar evolutionary histories. High ERC values are typically observed between genes participating in a common pathway or that otherwise share functionality (1,2). Hence, ERC is a tool that can help identify new functional connections between genes (3). Please consult the references below for further description of ERC and its uses.
- Group Analysis: Returns the ERC values between a group of genes and statistics for the strength of ERC between them.
- Multiple Group Analysis: Returns the ERC values between a group of genes and statistics for the strength of ERC between them.
- Top Genes: Returns the highest ERC values for a queried gene and statistics for the strength of ERC between them, as well as their function, or the ERC values bewteen a queried gene and a list of queries, as well as their functions.
- Top Functions: Returns the most functionally related pathways and functions, ranked by ERC value. For yeast only.
- Gene Prioritization: Prioritizes a list of candidate genes using ERC and a set of training genes.
Citations
- Clark NL, Alani E, Aquadro CF. Evolutionary rate covariation reveals shared functionality and co-expression of genes. Genome Research. 2012; 22(4): 714-720. PMC3317153
- Clark NL, Alani E, Aquadro CF. Evolutionary rate covariation involving meiotic proteins results from fluctuating evolutionary pressure in yeasts and mammals. Genetics. 2013; 193(2): 529-538. PMC3567741
- Findlay GD, Sitnik JL, Wang W, Aquadro CF, Clark NL, Wolfner MF. Evolutionary Rate Covariation Identifies New Members of a Protein Network Required for Drosophila Female Post-Mating Responses. PLOS Genetics. 2014; 10(1): e1004108. PMC3894160 Contact erc.analysis@gmail.com with questions or concerns.