Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat

CMiNet is an R package designed to generate consensus microbiome networks by integrating results from multiple network construction algorithms

CMIMN: Conditional Mutual Information for constructing Microbiome Network

Network construction, analysis, and comparison for microbial compositional data

🦠 A comprehensive R package for deep mining microbiome

MicrobiomeStat Tutorial Repository: This is a comprehensive resource for learning how to use the MicrobiomeStat package. It provides a step-by-step guide to effectively analyze complex microbiome data.

Creation and selection of Parallel Factor Analysis models of longitudinal microbiome data.

genome annotation analyzer for the microbiome analysis

short-read amplicon data visualization suite

A database for storing and analyzing omics data

Exploring different database implementations for clinical microbiome data

Repository for the data associated with my masters thesis

This repo contains the R microshades package, which contains a color blind accessible color palette with 30 unique colors and functions for applying these colors to microbiome data.

A Bayesian model for the differential abundance analysis of microbiome sequencing data

GDmicro - Use GCN and Deep adaptation network to classify host disease status based on human gut microbiome data.

A Shiny interface for the MicrobiomeStat R package, designed to facilitate analysis and visualization of microbiome data.

The scripts contained in this repository relate directly to the work conducted by the Tree Root Microbiome Project (TRMP) led by Dr Steve Wakelin.

This repository contains R scripts for data analyses and visualization.

A project to evaluate the differences in bacterial association networks from rainforest and converted pasturelands in the Colombian Amazon region using CCLasso and SPRING inference methods