short-read amplicon data visualization suite
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Updated
Aug 13, 2024 - R
short-read amplicon data visualization suite
Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat
🦠 A comprehensive R package for deep mining microbiome
Network construction, analysis, and comparison for microbial compositional data
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
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.
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
Analyzing microbiome data from Gigante, Barro Colorado, Panama. Part of an Undergraduate Thesis (defended on May 13th, 2022).
Machine learning for microbiome data
A list of R environment based tools for microbiome data exploration, statistical analysis and visualization
Analyses in R and Python Using curatedMetagenomicData
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