WEBINAR: Where to go when your bioinformatics outgrows your compute
This record includes training materials associated with the Australian BioCommons webinar ‘Where to go when your bioinformatics outgrows your compute’. This webinar took place on 19 August 2021.
Bioinformatics analyses are often complex, requiring multiple software tools and specialised compute...
Keywords: Computational Biology, Bioinformatics, High performance computing, HPC, Galaxy Australia, Nectar Research Cloud, Pawsey Supercomputing Centre, NCI, NCMAS, Cloud computing
WEBINAR: Where to go when your bioinformatics outgrows your compute
https://zenodo.org/records/5240578
https://dresa.org.au/materials/webinar-where-to-go-when-your-bioinformatics-outgrows-your-compute-7a5a0ff8-8f4f-4fd0-af20-a88d515a6554
This record includes training materials associated with the Australian BioCommons webinar ‘Where to go when your bioinformatics outgrows your compute’. This webinar took place on 19 August 2021.
Bioinformatics analyses are often complex, requiring multiple software tools and specialised compute resources. “I don’t know what compute resources I will need”, “My analysis won’t run and I don’t know why” and "Just getting it to work" are common pain points for researchers. In this webinar, you will learn how to understand the compute requirements for your bioinformatics workflows. You will also hear about ways of accessing compute that suits your needs as an Australian researcher, including Galaxy Australia, cloud and high-performance computing services offered by the Australian Research Data Commons, the National Compute Infrastructure (NCI) and Pawsey. We also describe bioinformatics and computing support services available to Australian researchers.
This webinar was jointly organised with the Sydney Informatics Hub at the University of Sydney.
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.
Where to go when your bioinformatics outgrows your compute - slides (PDF and PPTX): Slides presented during the webinar
Australian research computing resources cheat sheet (PDF): A list of resources and useful links mentioned during the webinar.
Materials shared elsewhere:
A recording of the webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/hNTbngSc-W0
Melissa Burke (melissa@biocommons.org.au)
Samaha, Georgina (orcid: 0000-0003-0419-1476)
Chew, Tracy (orcid: 0000-0001-9529-7705)
Sadsad, Rosemarie (orcid: 0000-0003-2488-953X)
Coddington, Paul (orcid: 0000-0003-1336-9686)
Gladman, Simon (orcid: 0000-0002-6100-4385)
Edberg, Roger
Shaikh, Javed
Cytowski, Maciej (orcid: 0000-0002-0007-0979)
Computational Biology, Bioinformatics, High performance computing, HPC, Galaxy Australia, Nectar Research Cloud, Pawsey Supercomputing Centre, NCI, NCMAS, Cloud computing
WORKSHOP: Refining genome annotations with Apollo
This record includes training materials associated with the Australian BioCommons workshop ‘Refining genome annotations with Apollo’. This workshop took place on 17 November 2021.
Workshop description
Genome annotation is crucial to defining the function of genomic sequences. This process...
Keywords: Apollo Software, Bioinformatics, Analysis, Workflows, Genomics, Genome annotation
WORKSHOP: Refining genome annotations with Apollo
https://zenodo.org/records/5781812
https://dresa.org.au/materials/workshop-refining-genome-annotations-with-apollo-d8f95fb3-7dc4-40e0-87d5-e7a4b2ceaf16
This record includes training materials associated with the Australian BioCommons workshop ‘Refining genome annotations with Apollo’. This workshop took place on 17 November 2021.
Workshop description
Genome annotation is crucial to defining the function of genomic sequences. This process typically involves a round of automated annotation followed by manual curation. Manual curation allows you to visualise your annotations so you can understand what your organism looks like, and then to manually refine these annotations along with any additional data you might have. This process is typically performed collaboratively as part of a team effort.
Apollo is a popular tool for facilitating real-time collaborative, manual curation and genome annotation editing. In this workshop we will learn how to use Apollo to refine genome annotations using example data from an E. coli strain. We’ll focus on the basics like getting data into Apollo, viewing evidence tracks, editing and adding structural and functional annotation, visualising the results and collaborating on genome annotations.
This workshop made use of a training instance of the new Australian Apollo Service. This service enables Australian-based research groups and consortia to access Apollo and host genome assembly and supporting evidence files for free. This service has been made possible by The Australian BioCommons and partners at QCIF and Pawsey. To learn more about the Australian Apollo Service you can watch the Australian Apollo Launch Webinar.
This workshop was presented by the Australian BioCommons and Queensland Cyber Infrastructure Foundation (QCIF) .
The Australian Apollo Service is operated by QCIF and underpinned by computational resources provided by the Pawsey Supercomputing Research Centre and receives NCRIS funding through Bioplatforms Australia and the Australian Research Data Commons as well as Queensland Government RICF funding.
The training materials presented in this workshop were developed by Anthony Bretaudeau, Helena Rasche, Nathan Dunn, Mateo Boudet for the Galaxy Training Network. Helena and Anthony are part of the Gallantries project which is supported by Erasmus Programme of the European Union.
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
2021 Apollo Training Intro (PPTX and PDF): Slides used to introduce the Australian Apollo Service
Augustus.gff3 (gff3): E.coli derived data file used in the tutorial. Data was obtained from the Galaxy Training Network and pre-processed using Galaxy Australia.
Blastp_vs_swissprot.gff3: E.coli derived data file used in the tutorial. Data was obtained from the Galaxy Training Network and pre-processed using Galaxy Australia.
Materials shared elsewhere:
This workshop is based on the tutorial ‘Refining genome annotations with Apollo’ which was developed for the Galaxy Training Network.
Anthony Bretaudeau, Helena Rasche, Nathan Dunn, Mateo Boudet, Erasmus Programme, 2021 Refining Genome Annotations with Apollo (Galaxy Training Materials). https://training.galaxyproject.org/training-material/topics/genome-annotation/tutorials/apollo/tutorial.html Online; accessed Wed Dec 15 2021
See also:
Batut et al., 2018 Community-Driven Data Analysis Training for Biology Cell Systems 10.1016/j.cels.2018.05.012
Melissa Burke (melissa@biocommons.org.au)
Bretaudeau, Anthony (orcid: 0000-0003-0914-2470)
Rasche, Helena (orcid: 0000-0001-9760-8992)
Williams, Sarah
Nelson, Tiffanie (orcid: 0000-0002-5341-312X)
Thang, Mike
Lee, Justin
Apollo Software, Bioinformatics, Analysis, Workflows, Genomics, Genome 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: Refining genome annotations with Apollo
This record includes training materials associated with the Australian BioCommons workshop ‘Refining genome annotations with Apollo’. This workshop took place on 17 November 2021.
Workshop description
Genome annotation is crucial to defining the function of genomic sequences. This...
Keywords: Apollo Software, Bioinformatics, Analysis, Workflows, Genomics, Genome annotation
WORKSHOP: Refining genome annotations with Apollo
https://zenodo.org/record/5781812
https://dresa.org.au/materials/workshop-refining-genome-annotations-with-apollo
This record includes training materials associated with the Australian BioCommons workshop ‘Refining genome annotations with Apollo’. This workshop took place on 17 November 2021.
**Workshop description**
Genome annotation is crucial to defining the function of genomic sequences. This process typically involves a round of automated annotation followed by manual curation. Manual curation allows you to visualise your annotations so you can understand what your organism looks like, and then to manually refine these annotations along with any additional data you might have. This process is typically performed collaboratively as part of a team effort.
Apollo is a popular tool for facilitating real-time collaborative, manual curation and genome annotation editing. In this workshop we will learn how to use Apollo to refine genome annotations using example data from an E. coli strain. We’ll focus on the basics like getting data into Apollo, viewing evidence tracks, editing and adding structural and functional annotation, visualising the results and collaborating on genome annotations.
This workshop made use of a training instance of the new Australian Apollo Service. This service enables Australian-based research groups and consortia to access Apollo and host genome assembly and supporting evidence files for free. This service has been made possible by The Australian BioCommons and partners at QCIF and Pawsey. To learn more about the Australian Apollo Service you can watch the Australian Apollo Launch Webinar.
This workshop was presented by the Australian BioCommons and Queensland Cyber Infrastructure Foundation (QCIF) .
The Australian Apollo Service is operated by QCIF and underpinned by computational resources provided by the Pawsey Supercomputing Research Centre and receives NCRIS funding through Bioplatforms Australia and the Australian Research Data Commons as well as Queensland Government RICF funding.
The training materials presented in this workshop were developed by Anthony Bretaudeau, Helena Rasche, Nathan Dunn, Mateo Boudet for the Galaxy Training Network. Helena and Anthony are part of the Gallantries project which is supported by Erasmus Programme of the European Union.
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
- 2021 Apollo Training Intro (PPTX and PDF): Slides used to introduce the Australian Apollo Service
- Augustus.gff3 (gff3): E.coli derived data file used in the tutorial. Data was obtained from the Galaxy Training Network and pre-processed using Galaxy Australia.
- Blastp_vs_swissprot.gff3: E.coli derived data file used in the tutorial. Data was obtained from the Galaxy Training Network and pre-processed using Galaxy Australia.
**Materials shared elsewhere:**
This workshop is based on the tutorial ‘Refining genome annotations with Apollo’ which was developed for the Galaxy Training Network.
Anthony Bretaudeau, Helena Rasche, Nathan Dunn, Mateo Boudet, Erasmus Programme, 2021 Refining Genome Annotations with Apollo (Galaxy Training Materials). https://training.galaxyproject.org/training-material/topics/genome-annotation/tutorials/apollo/tutorial.html Online; accessed Wed Dec 15 2021
See also:
Batut et al., 2018 Community-Driven Data Analysis Training for Biology Cell Systems 10.1016/j.cels.2018.05.012
Melissa Burke (melissa@biocommons.org.au)
Bretaudeau, Anthony (orcid: 0000-0003-0914-2470)
Rasche, Helena (orcid: 0000-0001-9760-8992)
Williams, Sarah
Nelson, Tiffanie (orcid: 0000-0002-5341-312X)
Thang, Mike
Lee, Justin
Apollo Software, Bioinformatics, Analysis, Workflows, Genomics, Genome annotation
WEBINAR: Where to go when your bioinformatics outgrows your compute
This record includes training materials associated with the Australian BioCommons webinar ‘Where to go when your bioinformatics outgrows your compute’. This webinar took place on 19 August 2021.
Bioinformatics analyses are often complex, requiring multiple software tools and specialised...
Keywords: Computational Biology, Bioinformatics, High performance computing, HPC, Galaxy Australia, Nectar Research Cloud, Pawsey Supercomputing Centre, NCI, NCMAS, Cloud computing
WEBINAR: Where to go when your bioinformatics outgrows your compute
https://zenodo.org/record/5240578
https://dresa.org.au/materials/webinar-where-to-go-when-your-bioinformatics-outgrows-your-compute
This record includes training materials associated with the Australian BioCommons webinar ‘Where to go when your bioinformatics outgrows your compute’. This webinar took place on 19 August 2021.
Bioinformatics analyses are often complex, requiring multiple software tools and specialised compute resources. “I don’t know what compute resources I will need”, “My analysis won’t run and I don’t know why” and "Just getting it to work" are common pain points for researchers. In this webinar, you will learn how to understand the compute requirements for your bioinformatics workflows. You will also hear about ways of accessing compute that suits your needs as an Australian researcher, including Galaxy Australia, cloud and high-performance computing services offered by the Australian Research Data Commons, the National Compute Infrastructure (NCI) and Pawsey. We also describe bioinformatics and computing support services available to Australian researchers.
This webinar was jointly organised with the Sydney Informatics Hub at the University of Sydney.
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.
- Where to go when your bioinformatics outgrows your compute - slides (PDF and PPTX): Slides presented during the webinar
- Australian research computing resources cheat sheet (PDF): A list of resources and useful links mentioned during the webinar.
**Materials shared elsewhere:**
A recording of the webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/hNTbngSc-W0
Melissa Burke (melissa@biocommons.org.au)
Samaha, Georgina (orcid: 0000-0003-0419-1476)
Chew, Tracy (orcid: 0000-0001-9529-7705)
Sadsad, Rosemarie (orcid: 0000-0003-2488-953X)
Coddington, Paul (orcid: 0000-0003-1336-9686)
Gladman, Simon (orcid: 0000-0002-6100-4385)
Edberg, Roger
Shaikh, Javed
Cytowski, Maciej (orcid: 0000-0002-0007-0979)
Computational Biology, Bioinformatics, High performance computing, HPC, Galaxy Australia, Nectar Research Cloud, Pawsey Supercomputing Centre, NCI, NCMAS, Cloud computing