This repository contains code for pre-processing and analysis of 16S rRNA data used to generate results in the paper "Skin bacterial community dynamics of hands and forearms before and after military field exercise".
Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat
Scripts used to analyse metabarcoding data from two different gene regions to assess which provides a more complete picture of the eukaryotic marine microalgae community (EMC).
dar: runs multiple differential abundance analysis methods and through a consensus strategy returns a set of differentially abundant features.
National workshop on microbiome informatics
Aplicación en Shiny del proyecto desarrollado en el repositorio Andera de análisis metagenómicos de microbiomas
Fantaxtic - Nested Bar Plots for Phyloseq Data
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 quick and user-friendly pipeline to go from raw fastq data from Illumina (paired-end sequencing) to processed ASVs and Taxonomic data.
Microbial Community Analysis with Chipster
Former version of METAPIPE
A simple R package to convert MetaPhlAn 4 output profiles to a phyloseq object.
The following codes are focused on microbiome analysis, alpha, beta and relative abundance differences.
En este repositorio se encuentran todos los scripts utilizados para mi tesis de licenciatura, titulada: "Análisis de perfiles funcionales de la microbiota intestinal de pacientes con trastorno depresivo mayor", la cual utiliza un lenguaje de programación en R y Phyton.
Dadaist2 🟨 Highway to R
This is a 16S amplicon analysis for visualizing microbiome data using QIIME, QIIME2R and Phyloseq. DNA was isolated fom both sediment cores and seabird fecal samples for this analysis.
A selection of analytical approaches, tools, and utilities for the processing of microbiome data derived from either 16S rRNA amplicon sequencing or shotgun metagenomics.
New to Bioinformatics? Start Here!
microbiome R package
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