QIIME 2 Cancer Microbiome Intervention Tutorial#
This tutorial was originally developed for the 2022 NIH Foundation for Advanced Education in the Sciences Microbiome Bioinformatics with QIIME 2 workshop, taught online January 31 - February 4, 2022. It is now being publicly released with corresponding video content on the QIIME 2 YouTube channel.
This tutorial is intended to be read like a book, from beginning to end.
This tutorial and the corresponding videos present many new features of QIIME 2 and our education and documentation ecosystem, including:
The new QIIME 2 Galaxy-based graphical user interface;
New tutorial data;
Our new QIIME 2 documentation system, which illustrates how to use QIIME 2 with different user interfaces, including Galaxy, the QIIME 2 command line interface, the QIIME 2 Python 3 API, and the R API (via reticulate). You can choose to use whichever of these interfaces you’re most comfortable with, or use different interfaces for different steps;
Our first Jupyter Book-based QIIME 2 tutorial.
Important!
Please review the QIIME 2 Community Code of Conduct . All workshop instructors agreed to abide by these community expectations and we hope you will too and you become involved in the QIIME 2 community.
Relevant links and protocols#
Support and Discussion Forum (go here for help)
@qiime2 on Twitter (project announcements)
Recommended readings#
The following readings will provide background information for this tutorial. These are presented in priority order.
Reconstitution of the gut microbiota of antibiotic-treated patients by autologous fecal microbiota transplant (Taur et al. [TCS+18])
Compilation of longitudinal microbiota data and hospitalome from hematopoietic cell transplantation patients (Liao et al. [LTC+21])
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 (Bolyen et al. [BRD+19])
q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data (Bokulich et al. [BDZ+18])
Experiences and lessons learned from two virtual, hands-on microbiome bioinformatics workshops (Dillon et al. [DBA+21])
Thank you to our hosts and our instruction team#
We thank our hosts, the Foundation for Advanced Education in the Sciences (FAES) for their support of the initial workshop for which these materials were developed.
We thank the many instructors who were involved in preparing this content, including the data set and the written and video tutorials.
Name |
Affiliation(s) |
---|---|
Aeriel Belk |
Joint Institute for Food Safety and Applied Nutrition, United States Food and Drug Administration and the University of Maryland, USA |
Nicholas A. Bokulich |
Laboratory of Food Systems Biotechnology, Institute of Food, Nutrition, and Health, ETH Zürich, Switzerland |
Evan Bolyen |
Center for Applied Microbiome Sciences, Pathogen and Microbiome Institute, Northern Arizona University, USA |
Emily Borsom |
Center for Applied Microbiome Sciences, Pathogen and Microbiome Institute, Northern Arizona University, USA |
J. Gregory Caporaso |
Center for Applied Microbiome Sciences, Pathogen and Microbiome Institute, Northern Arizona University, USA |
Colin J. Brislawn |
Contamination Source Identification / Independent Investigator, USA |
Kalen Cantrell |
University of California San Diego, USA |
Justine Debelius |
Department of Epidemiology, Johns Hopkins School of Public Health, USA; Centre for Translational Microbiome Research, Department of Microbiology, Tumor, and Cell Biology, Karolinska Institutet, Sweden |
Matthew Dillon |
Center for Applied Microbiome Sciences, Pathogen and Microbiome Institute, Northern Arizona University, USA |
Mehrbod Estaki |
International Microbiome Centre (IMC), University of Calgary |
Keegan Evans |
Center for Applied Microbiome Sciences, Pathogen and Microbiome Institute, Northern Arizona University, USA |
Marcus Fedarko |
Department of Computer Science and Engineering, University of California San Diego, USA |
Lena Floerl |
Laboratory of Food Systems Biotechnology, Institute of Food, Nutrition, and Health, ETH Zürich, Switzerland |
Elizabeth Gehret |
Center for Applied Microbiome Sciences, Pathogen and Microbiome Institute, Northern Arizona University, USA |
Chloe Herman |
Center for Applied Microbiome Sciences, Pathogen and Microbiome Institute, Northern Arizona University, USA |
Ben Kaehler |
School of Science, University of New South Wales, Canberra, Australia |
Chris Keefe |
Center for Applied Microbiome Sciences, Pathogen and Microbiome Institute, Northern Arizona University, USA |
Lina Kim |
Laboratory of Food Systems Biotechnology, Institute of Food, Nutrition, and Health, ETH Zürich, Switzerland |
Luca Lenzi |
Centre for Genomic Research, University of Liverpool, United Kingdom |
Chen Liao |
Program for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA |
Huang Lin |
Biostatistics and Bioinformatics Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), USA |
Jeff Meilander |
Center for Applied Microbiome Sciences, Pathogen and Microbiome Institute, Northern Arizona University, USA |
Michael S. Robeson II, Ph.D. |
Department of Biomedical Informatics, University of Arkansas for Medical Sciences, USA |
Anthony Simard |
Center for Applied Microbiome Sciences, Pathogen and Microbiome Institute, Northern Arizona University, USA |
Yoshiki Vazquez-Baeza |
BiomeSense, USA |
Thank you to our funders#
The QIIME 2 project is funded in part by:
The National Cancer Institute:
Informatics Technology for Cancer Research (1U24CA248454-01) to JGC
The Partnership for Native American Cancer Prevention (U54CA143925 and U54CA143924) to JGC
Chan-Zuckerberg Initiative Essential Open Source Software for Science to JGC
Jupyter Book is funded by the Alfred P. Sloan to JGC Foundation.
The preparation and dissemination of the data used in this tutorial was funded in part by the National Institutes of Health (NIH) grants U01 AI124275, R01 AI137269 and U54 CA209975 to Joao B. Xavier.
QIIME 2 was initially developed with support from the National Science Foundation (1565100) to JGC.