JelenaBanjac/microbiome-toolbox

Early Life Microbiome Toolbox

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Emerging

This project helps researchers and scientists analyze complex microbiome data, particularly for studies focused on early life. It takes raw microbiome datasets, often including bacteria abundance and metadata over time, and outputs insights like identified bacteria trajectories, detected outliers, and potential interventions to shift a microbiome toward a healthier state. Microbiome researchers, pediatricians, or scientists studying microbial communities would find this useful.

No commits in the last 6 months. Available on PyPI.

Use this if you need to analyze longitudinal microbiome data, identify anomalous samples, or model how microbial communities change over time and respond to interventions.

Not ideal if you are working with non-microbiome biological data or require highly customized, niche machine learning models not covered by common algorithms.

microbiome-research longitudinal-studies early-life-science microbial-ecology bioinformatics
Stale 6m
Maintenance 0 / 25
Adoption 5 / 25
Maturity 25 / 25
Community 11 / 25

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Stars

12

Forks

2

Language

Jupyter Notebook

License

MIT

Last pushed

Dec 20, 2023

Commits (30d)

0

Dependencies

49

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