Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

Published: August 1, 2019 in Nature Biotechnology (Volume 37, Issue 8)

Overview

This paper describes QIIME 2, a completely reengineered and modernized open‑source software platform for microbiome bioinformatics and data analysis. It was authored by a large international team led by Evan Bolyen and J. Gregory Caporaso, among many others.

QIIME 2 was designed to give researchers:

  • Reproducible workflows that track every step and parameter used in analyses, enabling transparency and scientific rigor.
  • Interactive and extensible tools for exploring microbiome datasets with visualization and plug‑in support.
  • Scalable performance to handle large sequencing datasets typical of modern microbiome research.
  • Extensibility through community‑developed plug‑ins for specialized analysis tasks.

Microbiome research examines the tiny microbial communities that inhabit environments from the human gut to soil ecosystems and has profound implications for human health, disease, agriculture, and environmental science.

Importance

  • It provides an open‑source standard platform for microbiome data analysis across disciplines.
  • It has supported thousands of studies linking microbial communities to disease, treatment response, ecology, and more.
  • It helps ensure data reproducibility and transparency, a major challenge in complex biological data science.

QIIME 2’s impact goes beyond a single discovery — it enables a whole community of research, making it a foundational contribution to computational biotechnology.

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