EMBL-EBI
CZI-CABANA Joint Workshop: Microbiome Bioinformatics with QIIME 2
Date: 5 - 9 October 2020
Members of the QIIME 2 team will teach a five-day online workshop on bioinformatics tools for microbiome science. This workshop will provide attendees with the foundation needed to begin using QIIME 2 to advance their own microbiome research projects. This will be accomplished by providing detailed in-depth “theory” lectures, hands-on interactive tutorials, guided discussion, and general question-and-answer sessions
The workshop will include lectures covering QIIME 2 usage and theory, and interactive work with QIIME 2 to perform microbiome analysis from raw sequence data through publication-quality statistics and visualizations. This workshop will also feature several opportunities for attendees to network with other researchers in the field, as well as with QIIME 2 developers and other experts.
Contact: Greg Caporaso, Matthew Ryan Dillon - [email protected]
Organizer: European Bioinformatics Institute (EBI)
Target audience: This course is suitable for postgraduate wet-lab researchers and also bioinformaticians at graduate-level upwards within Latin America who are working with and/or generating their own microbiome datasets. Ideally your research or application is related to CABANA's challenge areas of sustainable food production, protection of biodiversity, or communicable diseases. This workshop is part-funded by the CABANA project and has a maximum capacity of 50 trainees, 25 of which are for trainees within Latin America (excluding Chile and Uruguay due to GCRF grant conditions). If you are not currently employed within Latin America, you can still register for this course via general admission, please visit the QIIME workshop website for more details. Early-stage researchers and researchers from underrepresented ethnic groups are especially encouraged to apply for this workshop. Please note this course will be taught in English.
Capacity: 25
Event types:
- Workshops and courses
Scientific topics: Microbiology
Activity log
