microbiomeDASim

microbiomeDASim is an R Bioconductor software package that simulates longitudinal differential abundance in microbiome studies. It allows researchers to generate simulated data with known patterns of differential abundance over time, enabling them to test and compare various statistical methods for detecting these changes.

Key features of microbiomeDASim include:

1. Simulating microbiome data with differential abundance: The package can generate longitudinal metagenomic data with specific functional forms and adjustable parameters to control the signal-to-noise ratio.

2. Flexibility in study design: Researchers can use microbiomeDASim to model the ability to detect an effect based on cost and ease of access, helping them optimize their study design and sampling frequency.

3. Comparing statistical frameworks: By generating simulated data with known patterns, microbiomeDASim allows researchers to evaluate the performance of different statistical methods, such as metaSplines, in detecting differential abundance.

4. Metrics of success: The package provides metrics to assess the success of the statistical methods in detecting the simulated differential abundance patterns.

Topic

Microbial ecology;Metagenomics;Metagenomic sequencing

Detail

  • Operation: Standardisation and normalisation;Visualisation

  • Software interface: Library

  • Language: R

  • License: The MIT License

  • Cost: Free

  • Version name: 1.18.0

  • Credit: -

  • Input: -

  • Output: -

  • Contact: Justin Williams williazo@ucla.edu

  • Collection: -

  • Maturity: Stable

Publications

  • microbiomeDASim: Simulating longitudinal differential abundance for microbiome data
  • Williams J, Bravo HC, Tom J, Paulson JN. microbiomeDASim: Simulating longitudinal differential abundance for microbiome data. F1000Res. 2019 Oct 17;8:1769. doi: 10.12688/f1000research.20660.2. PMID: 32148761; PMCID: PMC7047923.
  • https://doi.org/10.12688/F1000RESEARCH.20660.1
  • PMID: 32148761
  • PMC: PMC7047923

Download and documentation


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