Cargando…
MiSDEED: a synthetic data engine for microbiome study power analysis and study design
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, sample...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710642/ https://www.ncbi.nlm.nih.gov/pubmed/36699411 http://dx.doi.org/10.1093/bioadv/vbac043 |
Sumario: | 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. |
---|