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transomics2cytoscape

DOI

BioC Release Build Status - Bioconductor Release Build

BioC Dev Build Status - Bioconductor Dev Build

Introduction

Visualization of trans-omic networks helps biological interpretation by illustrating pathways where the signals are transmitted.

To characterize signals that go across multiple omic layers, Yugi and colleagues have proposed a method for network visualization by stacking multiple 2D pathways in a 3D space.

The 3D network visualization was realized by VANTED. However, the visualization relies on time-consuming manual operation. Here we propose transomics2cytoscape, an R package that automatically creates 3D network visualization in combination with Cytoscape, Cy3D App, and Cytoscape Automation.

Installation

  1. Install Cytoscape from https://cytoscape.org/
  2. Install transomics2cytoscape (see https://www.bioconductor.org/packages/release/bioc/html/transomics2cytoscape.html)

Example

  1. Run Cytoscape (If Cytoscape is already running, you don't need to run it anymore. transomics2cytoscape works only when 1 Cytoscape [window] is up.)
  2. Run R.
  3. Run the following R code. This will import multiple networks and integrate the networks to a 3D space. (This will take a few minutes.)
library(transomics2cytoscape)
networkDataDir <- tempfile(); dir.create(networkDataDir)
networkLayers <- system.file("extdata/usecase1", "yugi2014.tsv",
                            package = "transomics2cytoscape")
stylexml <- system.file("extdata/usecase1", "yugi2014.xml",
                            package = "transomics2cytoscape")
suid <- create3Dnetwork(networkDataDir, networkLayers, stylexml)

Next Run the following R code. This will add edges between the network layers. (This code execution finishes faster than before.)

layer1to2 <- system.file("extdata/usecase1", "k2e.tsv",
                            package = "transomics2cytoscape")
suid <- createTransomicEdges(suid, layer1to2)
layer2to3 <- system.file("extdata/usecase1", "allosteric_ec2rea.tsv", package = "transomics2cytoscape")
suid <- createTransomicEdges(suid, layer2to3)

Then, you should have a 3D view with layered networks and transomic interactions between them. (Note that you need to perform operations such as zooming out or adjusting the camera angle.)

allosteric_result

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Get and integrate the pathways to create a 3D transomics network visualization

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