The QIIME platform, including QIIME 1 and QIIME 2, has been extensively applied in microbiome research, repeatedly making analyses that were challenging or impossible into routine tasks. While QIIME began
The QIIME platform, including QIIME 1 and QIIME 2, has been extensively applied in microbiome research, repeatedly making analyses that were challenging or impossible into routine tasks. While QIIME began as a marker gene (e.g., 16S, ITS, …) analysis platform, microbiome research is transitioning toward multi-omics. With funding from NCI’s Informatics Technology for Cancer Research program, QIIME 2 is transitioning to become a microbiome multi-omics analysis platform. In this talk, Dr. Caporaso will introduce QIIME 2, including current work on expanding beyond marker gene analysis. He will also discuss QIIME 2’s retrospective data provenance tracking system, and how it can help you to get help with your bioinformatics analyses and ensure that your work is reproducible. Dr. Caporaso will describe the ways that QIIME 2 can be used, including through the Galaxy graphical user interface, a command line interface, or a Python 3 API. Full support for using QIIME 2 through these different interface types ensures that using QIIME 2 will be accessible and convenient for you, regardless of your computational background. Finally, he will present on QIIME 2’s extensive educational and technical support resources, so that you can start learning QIIME 2 as quickly as possible.
Greg Caporaso, PhD
- Professor at Northern Arizona University
- A microbiome expert with 100+ related publications
- Lead developer of the QIIME 2 Platform
- Visit his lab website at https://caporasolab.us
This event is open to all interested across NIH. However, it will also serve as lesson 1 in a 7 lesson course series on using QIIME 2 for microbiome analysis, which will focus on 16S rRNA amplicon data. Registration for the QIIME2 microbiome course series will be separate. Please email email@example.com for related questions or concerns.
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(Wednesday) 1:00 pm - 2:00 pm
BTEPBioinformatics Training and Education Program, CCR, NCIncibtep@nih.gov