A list of R environment based tools for microbiome data exploration, statistical analysis and visualization
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Updated
Apr 11, 2023 - CSS
A list of R environment based tools for microbiome data exploration, statistical analysis and visualization
SMETANA: a tool to analyse interactions in microbial communities
Various functions for analysis of microbial community data
Metabolic Engineering Workbench
Model-based Genomically Informed High-dimensional Predictor of Microbial Community Metabolic Profiles
The is mostly a wrapper tool using phyloseq and microbiome R packages.
Functions to manipulate and visualize microbial community data
Pathway-Guided Pruning Reconstruction of Genome-Scale Metabolic Models
Minimal Supplying Community Search with constraint-based optimization methods.
Supplementary data for co-occurrence manuscript
FLYCOP (FLexible sYnthetic Consortium OPtimization)
RiboTaxa: combined approaches for rRNA genes taxonomic resolution down to the species level from metagenomics data revealing novelties.
NOTE: The iroki command line tool is no longer maintained. Please see: https://github.com/mooreryan/iroki
Environmental metagenomics, Spring 2021, Physalia Courses
Environmental metagenomics, Spring 2022, Physalia Courses
2017 September Microbial Community Analysis Workshop
Modelling and Inference of MICrobiomes Project (MIMIC) is a Python package dedicated to simulate, model, and predict microbial communities interactions
3D Analysis of confocal images of microbial biofilms/communities
Designing microbial communities
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