README.md

In alexcis95/PhenoExamWeb: Compare the likeness of phenotypes terms between groups of genes

PhenoExamWeb

How to install PhenoExamWeb package

# If you don't have devtools package
install.packages("devtools")
library(devtools)

# Install PhenoExam package 
install_github("alexcis95/PhenoExamWeb")
library(PhenoExamWeb)

You need the following bioconductor packages:

clusterProfiler AnnotationDbi org.Hs.eg.db

# How to install Bioconductor Packages
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("org.Hs.eg.db")

You need the following R packages:

readr data.table ggplot2 stats plotly ggpubr dplyr viridis parallel purrr DT Hmisc pheatmap

Uses of PhenoExamWeb

PhenoExamWeb is an R package that performs (1) phenotype enrichment analysis on a gene set, (2) measures statistically significant phenotype similarities between gene sets and (3) detects significant differential phenotypes for them. Phenotypic Similarity between two groups of genes is performed by assessing the statistical significance of the Phenotypic Overlap Ratio (POR) between those (i.e. the number of common relevant phenotypes between the gene sets). PhenoExamWeb uses the HPO, MGD, and CRISPRbrain databases for phenotypes. PhenoExamWeb uses UNIPROT, CTD, ORPHANET, CLINGE, GENOMICS ENGLAND, CGI and PSYGENET to obtain diseases terms through DisGeNET database.

Available tutorials

Phenotype analysis tutorial

PhenoExamWeb Shiny app

PhenoExamWeb shiny app

About

This work is the result of a pre-doctoral training contract for research staff financed by the CARM Ministry of Employment, Research and Universities, through the Seneca Foundation - Science and Technology Agency of the Region of Murcia. This package has developed by Alejandro Cisterna García as part of his PhD mentored by professor Juan Antonio Botía Blaya.

Authors: Alejandro Cisterna, Aurora González, Daniel Ruiz, Jordi Ortiz, Irene Díez, Paolo Maietta, Sara Álvarez, Mina Ryten, Juan A. Botía

alexcis95/PhenoExamWeb documentation built on April 24, 2021, 3:07 p.m.