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@kozo2
Created February 26, 2020 09:54
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---
title: "transomics2cytoscape"
author: "Kozo Nishida"
date: "2/26/2020"
package: transomics2cytoscape
output:
BiocStyle::html_document
vignette: |
%\VignetteIndexEntry{transomics2cytoscape}
%\VignetteEngine{knitr::rmarkdown}
%\VignetteEncoding{UTF-8}
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Introduction
To understand transomics datasets, [Yugi et al. 2014](https://pubmed.ncbi.nlm.nih.gov/25131207) has proposed a method for network visualization by integrating multiple pathways in 3D space.
The 3D network visualization was created by [VANTED](https://pubmed.ncbi.nlm.nih.gov/23140568) and human operation.
[RIKEN Plant Metabolome MetaDatabase (RPMM)](http://metabobank.riken.jp/) is
used to provide integrated plant metabolome data generated by RIKEN.
The database provides data in the bases of standardized metadata techniques
including semantic web and Resource Description Framework (RDF).
The rRPMM package is an accessor for RPMM.
## R Markdown
This is an R Markdown document. Markdown is a simple formatting syntax for
authoring HTML, PDF, and MS Word documents. For more details on using R Markdown
see <http://rmarkdown.rstudio.com>.
When you click the **Knit** button a document will be generated that includes
both content as well as the output of any embedded R code chunks within the
document. You can embed an R code chunk like this:
```{r cars}
summary(cars)
```
## Including Plots
You can also embed plots, for example:
```{r pressure, echo=FALSE}
plot(pressure)
```
Note that the `echo = FALSE` parameter was added to the code chunk to prevent
printing of the R code that generated the plot.
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