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.