fiveP

Overview

The main function, get_fiveP(input_genes), takes a df of HGNC IDs. The function outputs a dataframe with HGNC IDs for all protein coding genes, with five columns (paralogues, pathways, PPI, protein complexes, protein families) of scores. The scores are calculated based on how similar each protein coding gene is to the input genes provided by the user.

Installation

if (!requireNamespace("devtools", quietly = TRUE)) {
    install.packages("devtools")
}

devtools::install_github("martadelfino/fiveP")

Usage

Example

library(fiveP)
library(tidyverse)

input_genes <- tibble(hgnc_id = c("HGNC:19743", 
                                  "HGNC:9202",
                                  "HGNC:8653",
                                  "HGNC:6936",
                                  "HGNC:4878"))

result <- get_fiveP(input_genes)
head(result)

• More examples in biallelic.Rmd

Features

• Main function: get_fiveP()

Documentation

• Roxygen docs in man/