Author: Solaiappan Manimaran, Yue Zhao
Date: 2025-10-30

# Run PathoStat

#### Solaiappan Manimaran, Yue Zhao

#### 2025-10-30

## 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 and simply run the following to automatically install PathoStat and all the dependencies as follows.

    if (!requireNamespace("BiocManager", quietly=TRUE))
        install.packages("BiocManager")
    BiocManager::install("PathoStat")

If you want to install the latest development version of PathoStat from Github, use devtools to install it as follows:

    require(devtools)
    install_github("mani2012/PathoStat", build_vignettes=TRUE)

## Run Pathostat

    require(PathoStat)
    runPathoStat()

# Session info

    #> R version 4.5.1 Patched (2025-08-23 r88802)
    #> Platform: x86_64-pc-linux-gnu
    #> Running under: Ubuntu 24.04.3 LTS
    #>
    #> Matrix products: default
    #> BLAS:   /home/biocbuild/bbs-3.22-bioc/R/lib/libRblas.so
    #> LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.12.0  LAPACK version 3.12.0
    #>
    #> locale:
    #>  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
    #>  [3] LC_TIME=en_GB              LC_COLLATE=C
    #>  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8
    #>  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C
    #>  [9] LC_ADDRESS=C               LC_TELEPHONE=C
    #> [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
    #>
    #> time zone: America/New_York
    #> tzcode source: system (glibc)
    #>
    #> attached base packages:
    #> [1] stats     graphics  grDevices utils     datasets  methods   base
    #>
    #> loaded via a namespace (and not attached):
    #>  [1] digest_0.6.37     R6_2.6.1          fastmap_1.2.0     xfun_0.53
    #>  [5] cachem_1.1.0      knitr_1.50        htmltools_0.5.8.1 rmarkdown_2.30
    #>  [9] lifecycle_1.0.4   cli_3.6.5         sass_0.4.10       jquerylib_0.1.4
    #> [13] compiler_4.5.1    tools_4.5.1       evaluate_1.0.5    bslib_0.9.0
    #> [17] yaml_2.3.10       rlang_1.1.6       jsonlite_2.0.0