---
title: "Run PathoStat"
author: "Solaiappan Manimaran, Yue Zhao"
date: "`r Sys.Date()`"
output: rmarkdown::html_vignette
vignette: >
    %\VignetteIndexEntry{PathoStat intro}
    %\VignetteEngine{knitr::rmarkdown}
    %\VignetteEncoding{UTF-8}
---

```{r setup, include = FALSE}
knitr::opts_chunk$set(
    collapse = TRUE,
    comment = "#>"
)
```


## Introduction

PathoStat is a R shiny package, designed for performing 
Statistical Microbiome Analysis on metagenomics results 
from sequencing data samples. In particular, it supports 
analyses on the PathoScope generated report files.

The package includes:

* Data Summary and Filtering 
* Relative Abundance plots (Stacked Bar Plot, Heatmap)
* Multiple species boxplot visualization
* Diversity analysis (Alpha and Beta diversity)
* Differential Expression (DEseq2, edgeR)
* Dimension Reduction (PCA, PCoA)
* Biomarker identification

## Installation

To begin, install [Bioconductor](http://www.bioconductor.org/) and simply
run the following to automatically install PathoStat and all the dependencies 
as follows.

```r
source("http://bioconductor.org/biocLite.R")
biocLite("PathoStat")
```

If you want to install the latest development version of PathoStat from Github, 
use [devtools](https://github.com/hadley/devtools) to install it as follows:
```r
require(devtools)
install_github("mani2012/PathoStat", build_vignettes=TRUE)
```

## Run Pathostat

```{r eval=FALSE}
require(PathoStat)
runPathoStat()
```


# Session info

```{r sessionInfo, echo=FALSE}
sessionInfo()
```