wg99526 / MiCloudGit

Comprehensive association analysis for cross-sectional and longitudinal microbiome studies
https://micloud.kr
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MiCloud

Title: MiCloud: A Unified Web Platform for Comprehensive Microbiome Data Analysis

Version: 1.3.1

Date: 2022-08-20

Maintainer: Won Gu wpg5129@psu.edu

Description: MiCloud is a unified web platform for comprehensive microbiome data analysis. MiCloud provides step-by-step user-friendly web environments for a breadth of data processing, analytic and graphical procedures. MiCloud performs both ecological (alpha- and beta-diversity) and taxonomical (phylum, class, order, family, genus, species) analyses for various types of host phenotypes (or disease status) and study designs with or without covariate adjustment(s). More details are as follows.

Depends: R(>= 3.5), 'phyloseq', 'biomformat', 'MiRKAT', 'GLMM-MiRKAT', 'NBZIMM', 'seqinr', 'shinydashboard', 'dashboardthemes', 'tidyverse', 'plotly', 'shinyWidgets', 'shinyjs', 'googleVis', 'xtable', 'DT', 'htmltools', 'phangorn', 'bios2mds', 'zip', 'zCompositions', 'dplyr', 'forestplot', 'quantreg', 'fossil', 'picante', 'entropart', 'lme4', 'lmerTest', 'broom.mixed', 'gee', 'geepack', 'dirmult', 'robustbase', 'robCompositions', 'BiasedUrn', 'CompQuadForm', 'GUniFrac', 'ecodist', 'gridExtra', 'ggplot2', 'patchwork', 'ggthemes', 'erer', 'DiagrammeR', 'stringr', 'devtools', 'betareg', 'reticulate', 'nlme', 'glmmTMB', 'glmm', 'remotes', 'gridGraphics', 'compositions'

URLs

References

Prerequites

shiny

install.packages("shiny")

Launch App

library(shiny)

runGitHub("MiCloudGit", "wg99526", ref = "main")

Troubleshooting Tips

If you have any problems for using MiCloud, please report in Issues (https://github.com/wg99526/MiCloudGit/issues) or email Won Gu (wpg5129@psu.edu).

External Resources

MiCloud does not take raw sequence data. For the raw sequence data processing and microbiome profiling, we recommend other popular and well-established bioinformatic pipelines, such as