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Updated: Aug 12, 2025

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
MiSDEED: a synthetic data engine for microbiome study power analysis and study design
Philippe Chlenski1, Melody Hsu1, Itsik Pe'er1,2,3
1Department of Computer Science, Columbia University, New York, NY 10027, USA.
Summary:
MiSDEED (Microbial Synthetic Data Engine for Experimental Design) is a command-line tool for generating synthetic longitudinal multinode data from simulated microbial environments. It generates relative-abundance timecourses under perturbations for an arbitrary number of time points, samples, locations and data types. All simulation parameters are exposed to the user to facilitate rapid power analysis and aid in study design. Users who want additional flexibility may also use MiSDEED as a Python package.
Availability And Implementation:
MiSDEED is written in Python and is freely available at https://github.com/pchlenski/misdeed.

