hfang-bristol/A2: Atlas and Analysis of Systems-Biology-Led Pathways
Version 1.0.0

Pathway-level analysis is supported using a collection of curated pathways (A2). Taking as inputs user-defined list of genes or genomic regions, it outputs pathways regulated and details gene members involved as well. Transforming genomic regions into pathways is enabled by defining modulated genes based on conformation evidence, expression quantitative trait loci mapping, enhancer-promoter expression and genomic proximity. Together with its web-app, A2 aids in understanding molecular circuits such as resulted from differential studies at the gene and genomic region level.

Getting started

Package details

AuthorHai Fang, Anna Sanniti, Alicia Lledo Lara, Julian C Knight
Bioconductor views Pathways Software
MaintainerHai Fang <[email protected]>
LicenseGPL-3
Version1.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("hfang-bristol/A2")
hfang-bristol/A2 documentation built on April 9, 2018, 2:52 a.m.