WORKSHOP: Introduction to Metabarcoding using QIIME2
This record includes training materials associated with the Australian BioCommons workshop ‘Introduction to Metabarcoding using QIIME2’. This workshop took place on 22 February 2022.
Event description
Metabarcoding has revolutionised the study of biodiversity science. By combining DNA taxonomy...
Keywords: Bioinformatics, Analysis, Workflows, Microbial ecology, Metabarcoding, Microbiome
WORKSHOP: Introduction to Metabarcoding using QIIME2
https://zenodo.org/records/6350808
https://dresa.org.au/materials/workshop-introduction-to-metabarcoding-using-qiime2-d3a7ac82-63aa-47e6-9d8e-5126419f9982
This record includes training materials associated with the Australian BioCommons workshop ‘Introduction to Metabarcoding using QIIME2’. This workshop took place on 22 February 2022.
Event description
Metabarcoding has revolutionised the study of biodiversity science. By combining DNA taxonomy with high-throughput DNA sequencing, it offers the potential to observe a larger diversity in the taxa within a single sample, rapidly expanding the scope of microbial analysis and generating high-quality biodiversity data.
This workshop will introduce the topic of metabarcoding and how you can use Qiime2 to analyse 16S data and gain simultaneous identification of all taxa within a sample. Qiime2 is a popular tool used to perform powerful microbiome analysis that can transform your raw data into publication quality visuals and statistics. In this workshop, using example 16S data from the shallow-water marine anemone E. diaphana, you will learn how to use this pipeline to run essential steps in microbial analysis including generating taxonomic assignments and phylogenic trees, and performing both alpha- and beta- diversity analysis.
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Files and materials included in this record:
Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file.
Schedule (PDF): A breakdown of the topics and timings for the workshop
Materials shared elsewhere:
This workshop follows the tutorial ‘Introduction to metabarcoding with QIIME2’ which has been made publicly available by Melbourne Bioinformatics.
https://www.melbournebioinformatics.org.au/tutorials/tutorials/qiime2/qiime2/
Melissa Burke (melissa@biocommons.org.au)
Dungan, Ashley (orcid: 0000-0003-0958-2177)
Philip, Gayle (orcid: 0000-0002-2671-5093)
Perry, Andrew (orcid: 0000-0001-9256-6068)
Ismail, Rania
Geissler, Laura
Tandon, Kshitij (orcid: 0000-0003-3022-0808)
Makunin, Igor
Bioinformatics, Analysis, Workflows, Microbial ecology, Metabarcoding, Microbiome
ARDC Training Materials Metadata Checklist v1.1
The ARDC Training Materials Metadata Checklist aims to support learning designers, training materials creators, trainers and national training infrastructure providers to capture key information and apply appropriate mechanisms to enable sharing and reuse of their training materials
Keywords: checklist, Training material, FAIR, standard, requirements, metadata
ARDC Training Materials Metadata Checklist v1.1
https://zenodo.org/records/5276003
https://dresa.org.au/materials/ardc-training-materials-metadata-checklist-v1-1
The ARDC Training Materials Metadata Checklist aims to support learning designers, training materials creators, trainers and national training infrastructure providers to capture key information and apply appropriate mechanisms to enable sharing and reuse of their training materials
contact@ardc.edu.au
Martinez, Paula Andrea (orcid: 0000-0002-8990-1985)
Unsworth, Kathryn (orcid: 0000-0002-5407-9987)
checklist, Training material, FAIR, standard, requirements, metadata
Training resources for sharing and reuse
This presentation outlines the work completed during a consultancy for ARDC by Dr Paula Martinez to develop new and publish existing national skills materials for reuse by the sector. She was responsible for the work package targeted to co-develop national skills materials with a strong emphasis...
Keywords: FAIR training material, training material, guides, software citation, software publishing, containers, software licensing, training materials checklist, research data governance
Training resources for sharing and reuse
https://zenodo.org/records/5711887
https://dresa.org.au/materials/training-resources-for-sharing-and-reuse-6ecee7a3-6821-4149-92ab-e335daa571a8
This presentation outlines the work completed during a consultancy for ARDC by Dr Paula Martinez to develop new and publish existing national skills materials for reuse by the sector. She was responsible for the work package targeted to co-develop national skills materials with a strong emphasis on sharing and reuse. This was a very collaborative project with the opportunity to work with different target audiences, topics and support expertise. To accommodate for a short timeline. We defined the scope to six topics. 1) Containers in Research 2) Data Governance 3) Software citation and Licensing 4) FAIR Data 101 5) Metadata for Training Materials 6) Machine Learning Resources.
You can watch the video on YouTube here: https://youtu.be/10Yv_BFa-mw
contact@ardc.edu.au
Martinez, Paula Andrea (orcid: 0000-0002-8990-1985)
FAIR training material, training material, guides, software citation, software publishing, containers, software licensing, training materials checklist, research data governance
ARDC FAIR Data 101 self-guided
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the...
Keywords: training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
ARDC FAIR Data 101 self-guided
https://zenodo.org/records/5094034
https://dresa.org.au/materials/ardc-fair-data-101-self-guided-2d794a84-f0ff-4e11-a39c-fa8ea481e097
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the Scholarly Communications Lifecycle', run by Natasha Simons at the FORCE11 Scholarly Communications Institute. These training materials are hosted on GitHub.
contact@ardc.edu.au
Stokes, Liz (orcid: 0000-0002-2973-5647)
Liffers, Matthias (orcid: 0000-0002-3639-2080)
Burton, Nichola (orcid: 0000-0003-4470-4846)
Martinez, Paula A. (orcid: 0000-0002-8990-1985)
Simons, Natasha (orcid: 0000-0003-0635-1998)
Russell, Keith (orcid: 0000-0001-5390-2719)
McCafferty, Siobhann (orcid: 0000-0002-2491-0995)
Ferrers, Richard (orcid: 0000-0002-2923-9889)
McEachern, Steve (orcid: 0000-0001-7848-4912)
Barlow, Melanie (orcid: 0000-0002-3956-5784)
Brady, Catherine (orcid: 0000-0002-7919-7592)
Brownlee, Rowan (orcid: 0000-0002-1955-1262)
Honeyman, Tom (orcid: 0000-0001-9448-4023)
Quiroga, Maria del Mar (orcid: 0000-0002-8943-2808)
training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
CheckEM User Guide
CheckEM is an open-source web based application which provides quality control assessments on metadata and image annotations of fish stereo-imagery. It is available at marine-ecology.shinyapps.io/CheckEM. The application can assess a range of sampling methods and annotation data formats for...
Keywords: stereo-video, fish, annotation
CheckEM User Guide
https://globalarchivemanual.github.io/CheckEM/articles/manuals/CheckEM_user_guide.html
https://dresa.org.au/materials/checkem-user-guide
CheckEM is an open-source web based application which provides quality control assessments on metadata and image annotations of fish stereo-imagery. It is available at marine-ecology.shinyapps.io/CheckEM. The application can assess a range of sampling methods and annotation data formats for common inaccuracies made whilst annotating stereo imagery. CheckEM creates interactive plots and tables in a graphical interface, and provides summarised data and a report of potential errors to download.
brooke.gibbons@uwa.edu.au
Brooke Gibbons
stereo-video, fish, annotation
TransectMeasure Annotation Guide
Annotation guide: benthic composition and relief for horizontally facing imagery
Keywords: benthos, video, annotation
TransectMeasure Annotation Guide
https://globalarchivemanual.github.io/CheckEM/articles/manuals/TransectMeasure_annotation_guide.html
https://dresa.org.au/materials/transectmeasure-annotation-guide
Annotation guide: benthic composition and relief for horizontally facing imagery
tim.langlois@uwa.edu.au
Brooke Gibbons
Claude Spencer
Tim Langlois
benthos, video, annotation
EventMeasure Annotation Guide
EventMeasure annotation guide for baited remote underwater stereo video systems (stereo-BRUVs) for count and length
Keywords: fish, stereo-video, annotation
EventMeasure Annotation Guide
https://globalarchivemanual.github.io/CheckEM/articles/manuals/EventMeasure_annotation_guide.html
https://dresa.org.au/materials/eventmeasure-annotation-guide
EventMeasure annotation guide for baited remote underwater stereo video systems (stereo-BRUVs) for count and length
tim.langlois@uwa.edu.au
Brooke Gibbons
Tim Langlois
Claude Spencer
fish, stereo-video, annotation
Stereo-video workflows for fish and benthic ecologists
Stereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range...
Keywords: stereo-video, fish, sharks, habitats
Resource type: tutorial
Stereo-video workflows for fish and benthic ecologists
https://globalarchivemanual.github.io/CheckEM/index.html
https://dresa.org.au/materials/stereo-video-workflows-for-fish-and-benthic-ecologists
Stereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range measurements and can be used to study spatial and temporal patterns in fish assemblages (McLean et al., 2016), habitat composition and complexity (Collins et al., 2017), behaviour (Goetze et al., 2017), responses to anthropogenic pressures (Bosch et al., 2022) and the recovery and growth of benthic fauna (Langlois et al. 2020). It is important that users of stereo-video collect, annotate, quality control and store their data in a consistent manner, to ensure data produced is of the highest quality possible and to enable large scale collaborations. Here we collate existing best practices and propose new tools to equip ecologists to ensure that all aspects of the stereo-video workflow are performed in a consistent way.
tim.langlois@uwa.edu.au
Tim Langlois
Brooke Gibbons
Claude Spencer
stereo-video, fish, sharks, habitats
WORKSHOP: Introduction to Metabarcoding using QIIME2
This record includes training materials associated with the Australian BioCommons workshop ‘Introduction to Metabarcoding using QIIME2’. This workshop took place on 22 February 2022.
Event description
Metabarcoding has revolutionised the study of biodiversity science. By combining DNA...
Keywords: Bioinformatics, Analysis, Workflows, Microbial ecology, Metabarcoding, Microbiome
WORKSHOP: Introduction to Metabarcoding using QIIME2
https://zenodo.org/record/6350808
https://dresa.org.au/materials/workshop-introduction-to-metabarcoding-using-qiime2
This record includes training materials associated with the Australian BioCommons workshop ‘Introduction to Metabarcoding using QIIME2’. This workshop took place on 22 February 2022.
**Event description**
Metabarcoding has revolutionised the study of biodiversity science. By combining DNA taxonomy with high-throughput DNA sequencing, it offers the potential to observe a larger diversity in the taxa within a single sample, rapidly expanding the scope of microbial analysis and generating high-quality biodiversity data.
This workshop will introduce the topic of metabarcoding and how you can use Qiime2 to analyse 16S data and gain simultaneous identification of all taxa within a sample. Qiime2 is a popular tool used to perform powerful microbiome analysis that can transform your raw data into publication quality visuals and statistics. In this workshop, using example 16S data from the shallow-water marine anemone E. diaphana, you will learn how to use this pipeline to run essential steps in microbial analysis including generating taxonomic assignments and phylogenic trees, and performing both alpha- and beta- diversity analysis.
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
**Files and materials included in this record:**
- Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
- Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file.
- Schedule (PDF): A breakdown of the topics and timings for the workshop
**Materials shared elsewhere:**
This workshop follows the tutorial ‘Introduction to metabarcoding with QIIME2’ which has been made publicly available by Melbourne Bioinformatics.
https://www.melbournebioinformatics.org.au/tutorials/tutorials/qiime2/qiime2/
Melissa Burke (melissa@biocommons.org.au)
Dungan, Ashley (orcid: 0000-0003-0958-2177)
Philip, Gayle (orcid: 0000-0002-2671-5093)
Perry, Andrew (orcid: 0000-0001-9256-6068)
Ismail, Rania
Geissler, Laura
Tandon, Kshitij (orcid: 0000-0003-3022-0808)
Makunin, Igor
Bioinformatics, Analysis, Workflows, Microbial ecology, Metabarcoding, Microbiome
ARDC FAIR Data 101 self-guided
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the...
Keywords: training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
ARDC FAIR Data 101 self-guided
https://zenodo.org/record/5094034
https://dresa.org.au/materials/ardc-fair-data-101-self-guided-bba41a59-8479-4f4f-b9ee-337b9eb294bf
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the Scholarly Communications Lifecycle', run by Natasha Simons at the FORCE11 Scholarly Communications Institute. These training materials are hosted on GitHub.
contact@ardc.edu.au
Stokes, Liz (orcid: 0000-0002-2973-5647)
Liffers, Matthias (orcid: 0000-0002-3639-2080)
Burton, Nichola (orcid: 0000-0003-4470-4846)
Martinez, Paula A. (orcid: 0000-0002-8990-1985)
Simons, Natasha (orcid: 0000-0003-0635-1998)
Russell, Keith (orcid: 0000-0001-5390-2719)
McCafferty, Siobhann (orcid: 0000-0002-2491-0995)
Ferrers, Richard (orcid: 0000-0002-2923-9889)
McEachern, Steve (orcid: 0000-0001-7848-4912)
Barlow, Melanie (orcid: 0000-0002-3956-5784)
Brady, Catherine (orcid: 0000-0002-7919-7592)
Brownlee, Rowan (orcid: 0000-0002-1955-1262)
Honeyman, Tom (orcid: 0000-0001-9448-4023)
Quiroga, Maria del Mar (orcid: 0000-0002-8943-2808)
training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
Training resources for sharing and reuse
This presentation outlines the work completed during a consultancy for ARDC by Dr Paula Martinez to develop new and publish existing national skills materials for reuse by the sector. She was responsible for the work package targeted to co-develop national skills materials with a strong emphasis...
Keywords: FAIR training material, training material, guides, software citation, software publishing, containers, software licensing, training materials checklist, research data governance
Training resources for sharing and reuse
https://zenodo.org/record/5711887
https://dresa.org.au/materials/training-resources-for-sharing-and-reuse
This presentation outlines the work completed during a consultancy for ARDC by Dr Paula Martinez to develop new and publish existing national skills materials for reuse by the sector. She was responsible for the work package targeted to co-develop national skills materials with a strong emphasis on sharing and reuse. This was a very collaborative project with the opportunity to work with different target audiences, topics and support expertise. To accommodate for a short timeline. We defined the scope to six topics. 1) Containers in Research 2) Data Governance 3) Software citation and Licensing 4) FAIR Data 101 5) Metadata for Training Materials 6) Machine Learning Resources.
You can watch the video on YouTube here: https://youtu.be/10Yv_BFa-mw
contact@ardc.edu.au
Martinez, Paula Andrea (orcid: 0000-0002-8990-1985)
FAIR training material, training material, guides, software citation, software publishing, containers, software licensing, training materials checklist, research data governance