58 materials found
Content provider: Stan or Australian BioCommons
WORKSHOP: Machine learning in the life sciences
This record includes training materials associated with the Australian BioCommons workshop ‘Machine Learning in the Life Sciences’. This on 11 June 2024.
Event description
Machine learning promises to revolutionise life science research by speeding up data analysis, enabling prediction of...
Keywords: Bioinformatics, Life Science, Machine Learning
WORKSHOP: Machine learning in the life sciences
https://zenodo.org/records/14676360
https://dresa.org.au/materials/workshop-machine-learning-in-the-life-sciences
This record includes training materials associated with the Australian BioCommons workshop ‘Machine Learning in the Life Sciences’. This on 11 June 2024.
Event description
Machine learning promises to revolutionise life science research by speeding up data analysis, enabling prediction of biological patterns and modelling complex biological systems.
But what exactly is machine learning and when should you use it?
This hands-on online workshop provides a high-level introduction to machine learning: what it is, its advantages and disadvantages compared to traditional modelling approaches and the types of scenarios where it may be the right tool for the job. Using example datasets and basic machine learning pipelines we contrast a few commonly used algorithms for constructing predictive models and explore some of their trade-offs. We discuss common pitfalls in how machine learning is applied and evaluated, with a focus on its application in the life sciences, to help you recognise overly optimistic results. We discuss how and why such errors arise and strategies to avoid them.
Lead trainer:
Dr Benjamin Goudey, Research Fellow, Florey Department of Neuroscience and Mental Health
Facilitators:
Dr Erin Graham, Queensland Cyber Infrastructure Foundation (QCIF) / James Cook University
William Pinzon Perez, Queensland Cyber Infrastructure Foundation (QCIF)
Dr Giorgia Mori, Sydney Informatics Hub, University of Sydney
Joseph McConnell, University of Adelaide
Jessica Chung, Melbourne Bioinformatics 0000-0002-0627-0955
Host:
Dr Melissa Burke, Australian BioCommons.
Training materials
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.
Schedule (PDF): Schedule describing the timing of sessions for the in person and online events
Materials shared elsewhere:
This workshop follows the Google Colab Notebook developed by Dr Benjamin Goudey: https://github.com/bwgoudey/IntroMLforLifeScienceWorkshopR
Melissa Burke (melissa@biocommons.org.au)
Goudey, Benjamin (orcid: 0000-0002-2318-985X)
Graham, Erin
Pinzon Perez, William
Mori, Giorgia (orcid: 0000-0003-3469-5632)
McConnell, Joseph
Chung, Jessica (orcid: 0000-0002-0627-0955)
Mather, Marius
Bioinformatics, Life Science, Machine Learning
WORKSHOP: Genetic Outlier Analysis
This record includes training materials associated with the Australian BioCommons workshop ‘Genetic Outlier Analysis’.
These workshops took place on:
27 - 28 February 2024: Online via Zoom
10 - 11 April 2024: In person in Melbourne
4 - 5 July 2024: In person in Sydney
Event description
There...
Keywords: Bioinformatics, Genetics
WORKSHOP: Genetic Outlier Analysis
https://zenodo.org/records/14676276
https://dresa.org.au/materials/workshop-genetic-outlier-analysis
This record includes training materials associated with the Australian BioCommons workshop ‘Genetic Outlier Analysis’.
These workshops took place on:
27 - 28 February 2024: Online via Zoom
10 - 11 April 2024: In person in Melbourne
4 - 5 July 2024: In person in Sydney
Event description
There are many interesting patterns that you can extract from genetic variant data. This can include patterns of linkage, balancing selection, or even inbreeding signals. One of the most common approaches is to find sites on the genome that are under selection.
This workshop introduces the basics of genetic selection analysis. It will step you through the process of identifying signals of selection using your own data (or an example genomic dataset) using the outlier analysis method.
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
This workshop is presented by the Australian BioCommons and the Genetics Society of AustralAsia
Lead trainer:
Dr Katarina Stuart, Research Fellow, University of Auckland.
Facilitators:
Adele Barugahare, Monash Genomics and Bioinformatics Platform
Dr Georgina Samaha, Sydney Informatics Hub, University of Sydney
Dr Ching-Yu Lu, Sydney Informatics Hub, University of Sydney
Soleille Miller, University of NSW
Dr Nandan Deshpande, Sydney Informatics Hub, University of Sydney
Infrastructure provision: Audrey Stott, Pawsey Supercomputing Research Centre
Host: Dr Melissa Burke, Australian BioCommons
Training materials
Files and materials included in this record:
Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Schedules describing the timing of sessions for the in person and online events
Materials shared elsewhere:
These workshops followed the materials developed by Dr Katarina Stuart
https://github.com/katarinastuart/Ev1_SelectionMetaAnalysis
Melissa Burke (melissa@biocommons.org.au)
Stuart, Katarina (orcid: 0000-0002-0386-4600)
Samaha, Georgina (orcid: 0000-0003-0419-1476)
Barugahare, Adele (orcid: 0000-0002-8976-0094)
Miller, Solleile (orcid: 0000-0002-7880-6501)
Deshpande, Nandan
Lu, Ching-Yu
Bioinformatics, Genetics
WORKSHOP: Making sense of gene and protein lists with functional enrichment analysis
This record includes training materials associated with the Australian BioCommons workshop ‘Making sense of gene and protein lists with functional enrichment analysis’. This workshop took place over two, 3 hour sessions on 20, 21 November 2024.
Event description
Omics experiments often generate...
Keywords: Bioinformatics http://edamontology.org/topic_0091, Analysis http://edamontology.org/operation_2945, Enrichment analysis http://edamontology.org/operation_3501
WORKSHOP: Making sense of gene and protein lists with functional enrichment analysis
https://zenodo.org/records/14602714
https://dresa.org.au/materials/workshop-making-sense-of-gene-and-protein-lists-with-functional-enrichment-analysis
This record includes training materials associated with the Australian BioCommons workshop ‘Making sense of gene and protein lists with functional enrichment analysis’. This workshop took place over two, 3 hour sessions on 20, 21 November 2024.
Event description
Omics experiments often generate long lists of genes or proteins. Functional enrichment analysis identifies biological trends in the data by assessing these lists against gene ontology and pathway information. This can help interpret the experimental results in the context of larger biological systems.
This workshop continues from our introductory webinar and provides a practical introduction to functional enrichment analysis. Using example data you will get hands-on with some of the most commonly used databases and tools for over representation (ORA) and gene set enrichment analysis (GSEA) and for identifying enriched biological functions in a list of genes or proteins. We’ll focus on tools available online and in R.
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Lead Trainers:
Dr Hossein Valipour Kahrood, Bioinformatician, Monash Genomics and Bioinformatics Platform
Dr Cali Willet, Senior Research Bioinformatician, Sydney Informatics Hub, University of Sydney
Facilitators:
Georgina Samaha, Australian BioCommons
Laura Perlaza-Jimenez, Monash Genomics and Bioinformatics Platform
Infrastructure provision: Uwe Winter, Australian BioCommonsHost: Dr. Melissa Burke, Australian BioCommons
Training materials
Files and materials included in this record:
Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
R notebooks (zip): R markdown and html rendered files, input files.
Materials shared elsewhere:
Training materials webpage
Melissa Burke (melissa@biocommons.org.au)
Willet, Cali (orcid: 0000-0001-8449-1502)
Valipour Kahrood, Hossein (orcid: 0000-0003-4166-0382)
Samaha, Georgina (orcid: 0000-0003-0419-1476)
Perlaza-Jim´énez, Laura (orcid: 0000-0002-8511-1134)
Uwe, Winter
Bioinformatics http://edamontology.org/topic_0091, Analysis http://edamontology.org/operation_2945, Enrichment analysis http://edamontology.org/operation_3501
WORKSHOP: Introduction to Machine Learning in R - from data to knowledge
This record includes training materials associated with the Australian BioCommons workshop ‘Introduction to Machine Learning in R - from data to knowledge’. This workshop took place over one, 4 hour sessions on 09 December 2024.
Event description
With the rise in high-throughput sequencing...
Keywords: Bioinformatics, Machine Learning
WORKSHOP: Introduction to Machine Learning in R - from data to knowledge
https://zenodo.org/records/14545612
https://dresa.org.au/materials/workshop-introduction-to-machine-learning-in-r-from-data-to-knowledge
This record includes training materials associated with the Australian BioCommons workshop ‘Introduction to Machine Learning in R - from data to knowledge’. This workshop took place over one, 4 hour sessions on 09 December 2024.
Event description
With the rise in high-throughput sequencing technologies, the volume of omics data has grown exponentially. A major issue is to mine useful knowledge from these heterogeneous collections of data. The analysis of complex high-volume data is not trivial and classical tools cannot be used to explore their full potential. Machine Learning (ML), a discipline in which computers perform automated learning without being programmed explicitly and assist humans to make sense of large and complex data sets, can thus be very useful in mining large omics datasets to uncover new insights that can advance the field of bioinformatics.
This hands-on workshop will introduce participants to the ML taxonomy and the applications of common ML algorithms to health data. The workshop will cover the foundational concepts and common methods being used to analyse omics data sets by providing a practical context through the use of basic but widely used R libraries. Participants will acquire an understanding of the standard ML processes, as well as the practical skills in applying them on familiar problems and publicly available real-world data sets.
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Lead trainers: Dr Fotis Psomopoulos, Senior Researcher, Institute of Applied Biosciences (INAB), Center for Research and Technology Hellas (CERTH)
Facilitators:
Dr Giorgia Mori, Australian BioCommons
Dr Eden Zhang, Sydney Informatics Hub
Dr Erin Graham, Queensland Cyber Infrastructure Foundation (QCIF)
Infrastructure provision: Uwe Winter, Australian BioCommons
Host: Dr. Giorgia Mori, Australian BioCommons
Training materials
Files and materials included in this record:
Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Files and materials shared elsewhere:
Training materials webpage
Data and documentation
Melissa Burke (melissa@biocommons.org.au)
Psomopoulos, Fotis (orcid: 0000-0002-0222-4273)
Zhang, Eden (orcid: 0000-0003-0294-3734)
Graham, Erin
Mori, Giorgia (orcid: 0000-0003-3469-5632)
Winter, Uwe
Bioinformatics, Machine Learning
WORKSHOP: Hello Nextflow!
This record includes training materials associated with the Australian BioCommons workshop ‘Hello Nextflow’. This workshop took place over two sessions on 24 - 25 September 2024.
Event description
The rise of big data has made it essential to be able to analyse and perform experiments on large...
Keywords: Bioinformatics, Workflows, Nextflow
WORKSHOP: Hello Nextflow!
https://zenodo.org/records/14532850
https://dresa.org.au/materials/workshop-hello-nextflow
This record includes training materials associated with the Australian BioCommons workshop ‘Hello Nextflow’. This workshop took place over two sessions on 24 - 25 September 2024.
Event description
The rise of big data has made it essential to be able to analyse and perform experiments on large datasets in a portable and reproducible manner. Nextflow is a popular bioinformatics workflow orchestrator that makes it easy to run data-intensive computational pipelines. It enables scalable and reproducible scientific workflows using software containers on any infrastructure. It allows the adaptation of workflows written in most languages and provides the ability to customise and optimise workflows for different computational environments, types and sizes of data.
This workshop will put you on the path to writing your own reproducible and scalable scientific workflows using Nextflow. You will learn how to use core Nextflow components to build, run and troubleshoot a scalable multi-step workflow.
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Lead trainers:
Dr Chris Hakkaart, Developer Advocate, Seqera Labs.
Fred Jaya, Senior Bioinformatician (Australian BioCommons), Sydney Informatics Hub, University of Sydney.
Dr Georgie Samaha - Product Owner of the Australian BioCommons BioCLI Project and Bioinformatics Group Lead at the Sydney Informatics Hub, The University of Sydney.
Facilitator: Dr Ziad Al Bkhetan, Australian BioCommons
Infrastructure provision: Uwe Winter, Australian BioCommons
Host: Dr Melissa Burke, Australian BioCommons
Training materials
Files and materials included in this record:
Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Materials shared elsewhere:
The materials were developed by the Sydney Informatics Hub, University of Sydney in partnership with Seqera. The workshop was enabled through the Australian BioCommons - BioCLI Platforms Project (NCRIS via Bioplatforms Australia).
Training materials webpage:
https://sydney-informatics-hub.github.io/hello-nextflow/
Data and documentation:
https://github.com/Sydney-Informatics-Hub/hello-nextflow
Melissa Burke (melissa@biocommons.org.au)
Hakkaart, Chris (orcid: 0000-0001-5007-2684)
Jaya, Fred (orcid: 0000-0002-4019-7026)
Samaha, Georgina (orcid: 0000-0003-0419-1476)
Al Bkhetan, Ziad (orcid: 0000-0002-4032-5331)
Bioinformatics, Workflows, Nextflow
WORKSHOP: Fungal Genomics with Galaxy
This record includes training materials associated with the Bioplatforms Australia “Fungal Genomics with Galaxy Workshop”. This workshop took place over three days from 29-31 October 2024.
Event description
A three-day workshop organised by Bioplatforms Australia to introduce bioinformatics...
Keywords: Bioinformatics, Analysis, Fungi, Genome assembly, Genome annotation
WORKSHOP: Fungal Genomics with Galaxy
https://zenodo.org/records/14498677
https://dresa.org.au/materials/workshop-fungal-genomics-with-galaxy
This record includes training materials associated with the Bioplatforms Australia “Fungal Genomics with Galaxy Workshop”. This workshop took place over three days from 29-31 October 2024.
Event description
A three-day workshop organised by Bioplatforms Australia to introduce bioinformatics theory and practice to researchers, citizen scientists, and industry involved in Bioplatforms fungi-themed National Initiatives: Australian Functional Fungi Initiative, and Plant Pathogen Omics Initiative.
An in-person workshop, held over three days from ~9am-5pm.
The workshop included a series of interleaved presentations about fungal genomics theory and practical tutorials using the Galaxy Australia analysis platform, as well as discussion sessions and presentations from some of the attendees.
A breakdown of timings and topics is provided in the schedule.
Registration was open to project representatives across the Australian Functional Fungi, and Plant Pathogen Omics Initiative.
Participation was free for registrants, and was supported by Bioplatforms National Initiatives.
Number of participants = 38
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Lead trainers:
Prof. Benjamin Schwessinger (Australian National University)
Dr Alistair McTaggart (Psymbiotika Lab)
Dr Gareth Price / Dr Anna Syme (Galaxy Australia
Presenters:
Dr Mareike Moeller (Australian National University)
Rita Tam (Australian National University)
Zhenyan Luo (Australian National University)
Coordination:
Dr Kelly Scarlett (BioPlatforms Australia)
Dr Mabel Lum (BioPlatforms Australia)
Dr Sophie Mazard (BioPlatforms Australia)
Files and materials included in this record:
Event metadata (PDF): Information about the event including description, learning objectives, prerequisites, etc.
Schedule of program inlcuding links to training materials and resources (PDF)
Slide sets as PDFs (PDF)
Table of links to Galaxy workflows and example histories (PDF)
Copy of Galaxy workflows developed as examples for fungal data analysis (as .ga files)
Materials shared elsewhere:
This workshop includes tutorials from the Galaxy Training Network which are linked in the schedule document.
Melissa Burke (melissa@biocommons.org.au)
Schwessinger, Benjamin (orcid: 0000-0002-7194-2922)
McTaggart, Alistair R. (orcid: 0000-0002-0996-1313)
Price, Gareth (orcid: 0000-0003-2439-8650)
Syme, Anna (orcid: 0000-0002-9906-0673)
Möller, Mareike (orcid: 0000-0002-2146-5507)
Tam, Rita
Luo, Zhenyan (orcid: 0000-0002-4515-2556)
Bioinformatics, Analysis, Fungi, Genome assembly, Genome annotation
WEBINAR: Making sense of gene and protein lists with functional enrichment analysis
This record includes training materials associated with the Australian BioCommons webinar ‘Making sense of gene and protein lists with functional enrichment analysis’. This webinar took place on 23 October 2024.
Topic description
Do you have a long list of genes or proteins from omics experiments...
Keywords: Bioinformatics, Enrichment analysis
WEBINAR: Making sense of gene and protein lists with functional enrichment analysis
https://zenodo.org/records/14032116
https://dresa.org.au/materials/webinar-making-sense-of-gene-and-protein-lists-with-functional-enrichment-analysis
This record includes training materials associated with the Australian BioCommons webinar ‘Making sense of gene and protein lists with functional enrichment analysis’. This webinar took place on 23 October 2024.
Topic description
Do you have a long list of genes or proteins from omics experiments that you don’t know what to do with? This webinar explains how functional enrichment analysis can be used to understand what these lists mean by employing gene ontology and pathway information to highlight the underlying biology. We’ll discuss the statistics that underpin enrichment analysis methods and some of the most commonly used tools, databases and workflows.
Speakers:
Dr Hossein Valipour Kahrood, Bioinformatician, Monash Genomics and Bioinformatics Platform
Dr Cali Willet, Senior Research Bioinformatician, Sydney Informatics Hub, The University of Sydney
Host:
Dr Melissa Burke, Australian BioCommons
Training materials
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.
Functional_enrichment_webinar: A PDF copy of the slides presented during the webinar.
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://www.youtube.com/watch?v=AvpH2WMNXxA
Melissa Burke (melissa@biocommons.org.au)
Valipour Kahrood, Hossein (orcid: 0000-0003-4166-0382)
Willet, Cali (orcid: 0000-0001-8449-1502)
Bioinformatics, Enrichment analysis
WORKSHOP: Online data analysis for biologists
This record includes training materials associated with the Australian BioCommons workshop ‘Online data analysis for biologists’. This workshop took place on 21 August 2024.
Topic description
Galaxy is a web-based platform that lets you conduct accessible, reproducible, and transparent...
Keywords: Bioinformatics, Data analysis, Galaxy
WORKSHOP: Online data analysis for biologists
https://zenodo.org/records/13948826
https://dresa.org.au/materials/workshop-online-data-analysis-for-biologists
This record includes training materials associated with the Australian BioCommons workshop ‘Online data analysis for biologists’. This workshop took place on 21 August 2024.
Topic description
Galaxy is a web-based platform that lets you conduct accessible, reproducible, and transparent computational biological research. Widely used by researchers world wide, Galaxy gives you access to 1000’s of popular tools for analysis and processing of biological data. It is perfect for working with a wide range of big and small datasets including genome assembly, annotation, epigenetics, metabolomics, metagenomics, proteomics, statistics, transcriptomics, variant analysis and visualisation.
This workshop provides an introduction to using Galaxy and available tools. Using an example dataset, you’ll practice uploading data, choosing and running tools, and viewing the results. We’ll share our top tips for managing your experiments and speeding up your analysis with workflows.
Lead trainer: Dr Gareth Price, Galaxy Australia
Facilitator: Mike Thang, Galaxy Australia / QCIF
Infrastructure provision: Galaxy Australia
Host: Dr Melissa Burke, Australian BioCommons
Training Materials
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_Online_data_analysis_for_biologists_210824 (PDF): Information about the event logistics including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Schedule_Online_data_analysis_for_biologists_210824 (PDF): Schedule for the workshop providing a breakdown of topics and timings
Materials shared elsewhere:
This workshop is based on the Galaxy Training Network tutorial ‘Galaxy basics for everyone’: https://training.galaxyproject.org/training-material/topics/introduction/tutorials/galaxy-intro-101-everyone/tutorial.html
A recording of this workshop is available on the Australian BioCommons YouTube Channel: https://www.youtube.com/watch?v=PF39KjOvreM
Melissa Burke (melissa@biocommons.org.au)
Price, Gareth (orcid: 0000-0003-2439-8650)
Thang, Michael
Bioinformatics, Data analysis, Galaxy
WEBINAR: Global data resources for human genomics and health
This record includes training materials associated with the Australian BioCommons webinar ‘Global data resources for human genomics and health’. This webinar took place on 20 September 2024.
Event description
Dr Mallory Freeberg takes us on a whirlwind tour of the human genomics data resources...
Keywords: Bioinformatics, Genomics
WEBINAR: Global data resources for human genomics and health
https://zenodo.org/records/13845933
https://dresa.org.au/materials/webinar-global-data-resources-for-human-genomics-and-health
This record includes training materials associated with the Australian BioCommons webinar ‘Global data resources for human genomics and health’. This webinar took place on 20 September 2024.
Event description
Dr Mallory Freeberg takes us on a whirlwind tour of the human genomics data resources available at EMBL's European Bioinformatics Institute (EMBL-EBI). Used by scientists across the world, these resources enable the discovery and exploration of genes, variants and their impact on human health and disease.
Resources that will be covered in this webinar include:
Ensembl: a genome browser that supports research in comparative genomics, evolution, sequence variation and transcriptional regulation
DECIPHER: an interactive web-based database and suite of tools that aid the clinical interpretation of genomic variants
Federated EGA: a global resource for discovery and access of sensitive human omics and associated data consented for secondary use
Perturbation Catalogue: a new project from Open Targets that is building a catalogue of harmonised and curated human gene, variant, and expression data
EMBL-EBI’s comprehensive range of freely available and up-to-date molecular data resources are used by scientists globally. The teams running these resources collaborate closely with international experts and are key partners in human genomic data sharing communities including the Global Alliance for Genomics and Health.
Speaker: Dr Mallory Freeberg, Human Genomics Team Leader, EMBL European Bioinformatics Institute
Host: Dr Melissa Burke, Australian BioCommons
Training materials
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.
20240920_Australian-Biocommons-Webinar_MFreeberg: A PDF copy of the slides presented during the webinar.
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/5FAj1KffYnY
Melissa Burke (melissa@biocommons.org.au)
Freeberg, Mallory (orcid: 0000-0003-2949-3921)
Bioinformatics, Genomics
WEBINAR: What exactly is bioinformatics?
This record includes training materials associated with the Australian BioCommons webinar ‘What exactly is bioinformatics?' This webinar took place on 7 August 2024.
Event description
‘Doing’ bioinformatics to extract, process, analyse, and interpret experimental results is something that all...
Keywords: Bioinformatics
WEBINAR: What exactly is bioinformatics?
https://zenodo.org/records/13283096
https://dresa.org.au/materials/webinar-what-exactly-is-bioinformatics
This record includes training materials associated with the Australian BioCommons webinar ‘What exactly is bioinformatics?' This webinar took place on 7 August 2024.
Event description
‘Doing’ bioinformatics to extract, process, analyse, and interpret experimental results is something that all life scientists do as part of their research. But what exactly is bioinformatics? And is there a right (or a wrong) way to do it?
In this webinar, Dr Georgie Samaha welcomes you to the vast world of bioinformatics. Georgie will illuminate key concepts including:
What does a typical experiment look like?
What kind of data will I work with?
What is involved in data-preprocessing?
What’s involved in data analysis?
Where can I do bioinformatics?
We explore common experimental use cases and share essential - but easy to overlook - practical tips for accessing data, software, and computing resources you need to get your research done.
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Speaker: Dr Georgie Samaha - Product Owner of the Australian BioCommons BioCLI Project and Bioinformatics Group Lead at the Sydney Informatics Hub, The University of Sydney.
Host: Dr Patrick Capon, Australian BioCommons
Training materials
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.
Samaha_2024_what_is_bioinformatics_webinar: A PDF copy of the slides presented during the webinar.
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/wmy2C-S-rMU
Melissa Burke (melissa@biocommons.org.au)
Samaha, Georgina (orcid: 0000-0003-0419-1476)
Bioinformatics
WEBINAR: A practical guide to AI tools for life scientists
This record includes training materials associated with the Australian BioCommons webinar ‘A practical guide to AI tools for life scientists’. This webinar took place on 8 May 2024.
Event description
The widespread availability and application of AI tools like ChatGPT have fundamentally...
Keywords: Bioinformatics, Machine Learning, Artificial Intelligence, ChatGPT
WEBINAR: A practical guide to AI tools for life scientists
https://zenodo.org/records/11206329
https://dresa.org.au/materials/webinar-a-practical-guide-to-ai-tools-for-life-scientists
This record includes training materials associated with the Australian BioCommons webinar ‘A practical guide to AI tools for life scientists’. This webinar took place on 8 May 2024.
Event description
The widespread availability and application of AI tools like ChatGPT have fundamentally transformed our approach to work, creativity, learning, and communication. In the realm of scientific research, the impact of AI extends far beyond mere promises, already catalysing significant advances and discoveries.
This talk will explore how AI is reshaping scientific exploration and innovation. We explore how AI can accelerate research processes, from data analysis and code writing to hypothesis development. We will present some of the available and emerging AI and how we might effectively leverage these tools while acknowledging their limitations.
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Speaker: Dr Michael Kuiper, Principal Research Scientist in Computational Biology and acting Group Leader of the Computational Modelling (CM) group at Data61 of CSIRO.
Host: Dr Patrick Capon, Australian BioCommons
Training materials
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.
Kuiper_May2024_b_version: A PDF copy of the slides presented during the webinar.
Q_and_A_AI-life-scientists: PDF copy of questions and answers from the webinar
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/NbYvq3OLEfo
Melissa Burke (melissa@biocommons.org.au)
Kuiper, Michael (orcid: 0000-0002-8213-8382)
Bioinformatics, Machine Learning, Artificial Intelligence, ChatGPT
WEBINAR: MetaboLights: the home for metabolomics experiments and derived information
This record includes training materials associated with the Australian BioCommons webinar ‘MetaboLights: the home for metabolomics experiments and derived information’. This webinar took place on 9 April 2024.
Event description
MetaboLights is an open-access database for metabolomics studies,...
Keywords: Bioinformatics, Metabolomics, Metabolites, Data sharing
WEBINAR: MetaboLights: the home for metabolomics experiments and derived information
https://zenodo.org/records/10963462
https://dresa.org.au/materials/webinar-metabolights-the-home-for-metabolomics-experiments-and-derived-information
This record includes training materials associated with the Australian BioCommons webinar ‘MetaboLights: the home for metabolomics experiments and derived information’. This webinar took place on 9 April 2024.
Event description
MetaboLights is an open-access database for metabolomics studies, their raw experimental data and associated metadata. It is cross-species, cross-technique and covers metabolite structures and their reference spectra as well as their biological roles and locations where available. MetaboLights is the recommended metabolomics repository for a number of leading journals and ELIXIR, the European infrastructure for life science information.
This webinar will provide an introduction to MetaboLights and how it can be used as:
A repository, enabling the metabolomics community to share findings, data and protocols from metabolomics studies.
A compound library of curated knowledge about metabolite structures, their reference spectra, as well as their biological roles, locations, concentrations, and raw data from metabolic experiments.
The webinar will provide details about data availability, standards and re-use, as well as guidance on submitting your own metabolomics data.
Speaker: Dr Thomas Payne, Scientific Database Curator - MetaboLights, EMBL-EBI
Host: Dr Patrick Capon, Australian BioCommons
Training materials
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.
2024_MetaboLights_Webinar_TP: A PDF copy of the slides presented during the webinar.
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/aCALHhqxOiM
Melissa Burke (melissa@biocommons.org.au)
Payne, Thomas (orcid: 0000-0001-7522-981X)
Bioinformatics, Metabolomics, Metabolites, Data sharing
WEBINAR: MaveDB: discovery and interpretation of high-throughput functional assay data
This record includes training materials associated with the Australian BioCommons webinar ‘MaveDB: discovery and interpretation of high-throughput functional assay data’. This webinar took place on 26 March 2024.
Event description
Multiplexed assays of variant effect (MAVEs) are a family of...
Keywords: Bioinformatics, Genetic variation, Functional annotation, Clinical genetics
WEBINAR: MaveDB: discovery and interpretation of high-throughput functional assay data
https://zenodo.org/records/10929633
https://dresa.org.au/materials/webinar-mavedb-discovery-and-interpretation-of-high-throughput-functional-assay-data
This record includes training materials associated with the Australian BioCommons webinar ‘MaveDB: discovery and interpretation of high-throughput functional assay data’. This webinar took place on 26 March 2024.
Event description
Multiplexed assays of variant effect (MAVEs) are a family of experimental techniques that measure all single amino acid or single nucleotide changes in a gene or other functional element. MaveDB is an international community database that enables discovery and reuse of data from these experiments. It provides a platform for integrating large-scale measurements of sequence variant impact with applications that can be used to interpret the data for basic and clinical research.
In this webinar we consider:
What are MAVEs and how are the experiments performed?
How much MAVE data is available in MaveDB and how is it organised?
Who can submit datasets to MaveDB?
What are some of the clinical applications for MAVEs and how is the data being used to understand patient variants?
Speaker: Dr Alan Rubin, Senior Research Officer, WEHI
Host: Dr Melissa Burke, Australian BioCommons
Materials
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.
MAVEDB_slides: A PDF copy of the slides presented during the webinar.
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/BXGQ2IuDnGE
Melissa Burke (melissa@biocommons.org.au)
Rubin, Alan (orcid: 0000-0003-1474-605X)
Bioinformatics, Genetic variation, Functional annotation, Clinical genetics
WEBINAR: Scaling up bioinformatics with ABLeS, the Australian BioCommons Leadership Share
This record includes training materials associated with the Australian BioCommons webinar ‘Scaling up bioinformatics with ABLeS, the Australian BioCommons Leadership Share’. This webinar took place on 12 March 2024.
Event description
The Australian BioCommons Leadership Share (ABLeS) supports...
Keywords: Bioinformatics, Computational biology, Computational infrastructure
WEBINAR: Scaling up bioinformatics with ABLeS, the Australian BioCommons Leadership Share
https://zenodo.org/records/10866820
https://dresa.org.au/materials/webinar-scaling-up-bioinformatics-with-ables-the-australian-biocommons-leadership-share
This record includes training materials associated with the Australian BioCommons webinar ‘Scaling up bioinformatics with ABLeS, the Australian BioCommons Leadership Share’. This webinar took place on 12 March 2024.
Event description
The Australian BioCommons Leadership Share (ABLeS) supports access to, and efficient use of, national computational systems for big-data bioinformatics. Designed for established life sciences projects, groups, institutes and consortia, ABLeS can be used to facilitate software optimisation and scaling, implementation of optimised software for production analyses, and creation of reference data.
This webinar highlights how ABLeS is being used by life science communities across Australia to access and leverage bioinformatics at scale. We’ll explain the structure of the ABLeS program and how your life science community can get involved, as well as providing a breakdown of the program expectations and the support available from the BioCommons and our partners. Community members making use of ABLeS will share their perspective on the program, and the research outcomes that have resulted.
ABLeS is supported by the Australian BioCommons in partnership with Bioplatforms Australia, the National Computational Infrastructure, and the Pawsey Supercomputing Centre.
Speakers:
Australian BioCommons:
Dr Steven Manos
Dr Johan Gustafsson
Dr Ziad Al Bkhetan
ABLeS users:
Dr Hardip Patel, National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University
Chelsea Mayoh, Zero Childhood Cancer, Children's Cancer Institute
Theodore Allnutt, Royal Botanic Gardens Victoria
Materials
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.
BioCommons_ABLeS: A PDF copy of the slides presented by the BioCommons team during the webinar.
Mayoh_ABLeS: A PDF copy of the slides presented by Chelsea Mayoh
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/Eb0z2-yaJbY
Melissa Burke (melissa@biocommons.org.au)
Al Bkhetan, Ziad
Gustafsson, Johan (orcid: 0000-0002-2977-5032)
Manos, Steven (orcid: 0000-0002-3461-1307)
Patel, Hardip (orcid: 0000-0003-3169-049X)
Mayoh, Chelsea (orcid: 0000-0002-6398-3046)
Allnutt, Theodore (orcid: 0000-0002-8258-0058)
Bioinformatics, Computational biology, Computational infrastructure
WEBINAR: Multivariate integration of multi-omics data with mixOmics
This record includes training materials associated with the Australian BioCommons webinar ‘Multivariate integration of multi-omics data with mixOmics’. This webinar took place on 6 March 2024.
Event description
Multi-omics data (eg. transcriptomics, proteomics) collected from the same set of...
Keywords: Bioinformatics, Omics, Multiomics, Multi-omics, Data integration
WEBINAR: Multivariate integration of multi-omics data with mixOmics
https://zenodo.org/records/10828246
https://dresa.org.au/materials/webinar-multivariate-integration-of-multi-omics-data-with-mixomics
This record includes training materials associated with the Australian BioCommons webinar ‘Multivariate integration of multi-omics data with mixOmics’. This webinar took place on 6 March 2024.
Event description
Multi-omics data (eg. transcriptomics, proteomics) collected from the same set of biospecimens or individuals is a powerful way to understand the underlying molecular mechanisms of a biological system.
mixOmics, a popular R package, integrates omics data from a wide range of sources into a single, unified view making it easier to explore and reveal interactions between omics layers. It overcomes many of the challenges of multi-omic data integration arising from data that are complex and large, with few samples (<50) and many molecules (>10,000), and generated using different technologies.
Prof Kim-Anh Lê Cao, head of the mixOmics team, is delivering this webinar to outline the different methods implemented in mixOmics and how statistical data integration is defined in this context. She will demonstrate how these approaches are applied to analysis of different multi-omics studies and outline the latest methodological developments in this area. From a study of human newborns, to multi-omics microbiomes, and multi-omics in single cells, these examples illustrate how mixOmics is used to perform variable selection and identify a signature of omics markers that characterise a specific phenotype or disease status.
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Speaker: Prof Kim-Anh Lê Cao, Director of Melbourne Integrative Genomics, School of Mathematics and Statistics, University of Melbourne.
Host: Dr Melissa Burke, Australian BioCommons
Training materials
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.
Mixomics_BioCommons: A PDF copy of the slides presented during the webinar.
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/5XpmQ5X89lA
Melissa Burke (melissa@biocommons.org.au)
Lê Cao, Kim-Anh (orcid: 0000-0003-3923-1116)
Bioinformatics, Omics, Multiomics, Multi-omics, Data integration
Tutorials to learn how to use STAN
Stan tutorials offer links to exceptional tutorial papers, videos and statistics to learn Bayesian statistical methods and applied statistics.
Keywords: Statistics, applied statistics, Bayesian statistics, R software, Python, MATLAB
Tutorials to learn how to use STAN
https://mc-stan.org/users/documentation/tutorials.html
https://dresa.org.au/materials/tutorials-to-learn-how-to-use-stan
Stan tutorials offer links to exceptional tutorial papers, videos and statistics to learn Bayesian statistical methods and applied statistics.
https://mc-stan.org/about/team/
Statistics, applied statistics, Bayesian statistics, R software, Python, MATLAB
WORKSHOP: Online data analysis for biologists
This record includes training materials associated with the Australian BioCommons workshop ‘Online data analysis for biologists’. This workshop took place on 9 September 2021.
Workshop description
Galaxy is an online platform for biological research that allows people to use computational data...
Keywords: Bioinformatics, Analysis, Workflows, Galaxy Australia
WORKSHOP: Online data analysis for biologists
https://zenodo.org/records/5775277
https://dresa.org.au/materials/workshop-online-data-analysis-for-biologists-08d66913-4ce3-4528-bdd6-0b0fcf234982
This record includes training materials associated with the Australian BioCommons workshop ‘Online data analysis for biologists’. This workshop took place on 9 September 2021.
Workshop description
Galaxy is an online platform for biological research that allows people to use computational data analysis tools and workflows without the need for programming experience.
It is an open source, web-based platform for accessible, reproducible, and transparent computational biomedical research. It also captures run information so that workflows can be saved, repeated and shared efficiently via the web.
This interactive beginners workshop will provide an introduction to the Galaxy interface, histories and available tools. The material covered in this workshop is freely available through the Galaxy Training Network.
The workshop will be held via Zoom and involves a combination of presentations by the lead trainer and smaller breakout groups supported by experienced facilitators.
The materials are shared under a Creative Commons 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): schedule for the workshop
Online_data_analysis_for_biologists_extraslides (PPTX and PDF): Slides used to introduce the data set and emphasise the importance of workflows. These slides were developed by Ms Grace Hall.
Materials shared elsewhere:
The tutorial used in this workshop is available via the Galaxy Training Network.
Anne Fouilloux, Nadia Goué, Christopher Barnett, Michele Maroni, Olha Nahorna, Dave Clements, Saskia Hiltemann, 2021 Galaxy 101 for everyone (Galaxy Training Materials). https://training.galaxyproject.org/training-material/topics/introduction/tutorials/galaxy-intro-101-everyone/tutorial.html Online; accessed Fri Dec 10 2021
Melissa Burke (melissa@biocommons.org.au)
Hall, Grace (orcid: 0000-0002-5105-8347)
Perreau, Vicky (orcid: 0000-0002-0773-7246)
Morgan, Steven (orcid: 0000-0001-6038-6126)
Bioinformatics, Analysis, Workflows, Galaxy Australia
WEBINAR: Launching the new Apollo Service: collaborative genome annotation for Australian researchers
This record includes training materials associated with the Australian BioCommons webinar ‘Launching the new Apollo Service: collaborative genome annotation for Australian researchers’. This webinar/workshop took place on 29 September 2021.
Event description
Genome annotation is crucial to...
Keywords: Genome Annotation, Genomics, Genome curation, Bioinformatics, Apollo software
WEBINAR: Launching the new Apollo Service: collaborative genome annotation for Australian researchers
https://zenodo.org/records/5775233
https://dresa.org.au/materials/webinar-launching-the-new-apollo-service-collaborative-genome-annotation-for-australian-researchers-3d6cb4b6-50b0-4bf4-ad3a-a60c79dc04ff
This record includes training materials associated with the Australian BioCommons webinar ‘Launching the new Apollo Service: collaborative genome annotation for Australian researchers’. This webinar/workshop took place on 29 September 2021.
Event description
Genome annotation is crucial to defining the function of genomic sequences. Apollo is a popular tool for facilitating real-time collaborative curation and genome annotation editing. The technical obstacles faced by Australian researchers wanting to access and maintain this software have now been solved.
The new Australian Apollo Service can host your genome assembly and supporting evidence files, taking care of all the system administration so you and your team can focus on the annotation curation itself. The Australian BioCommons and partners at QCIF and Pawsey are now offering the Apollo Service free to use for Australian-based research groups and research consortia.
As part of this launch, you’ll hear what’s possible from some of the early adopters who helped guide the development of the service. These Australian researchers will highlight the benefits that Apollo is bringing to their genome annotation and curation workflows.
Join us to find out how you can get access to the Australian Apollo Service.
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.
Degnan Lab - Apollo Launch Webinar (PDF): Slides presented by Professors Sandie and Bernie Degnan
Nelson - Apollo Launch Webinar (PDF): Slides presented by Dr Tiffanie Nelson
Voelker - Apollo Launch Webinar (PDF): Slides presented by Julia Voelker
Rane - Apollo Launch Webinar (PDF): Slides presented by Dr Rahul Rane.
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/o8jhRra-x4Y
Melissa Burke (melissa@biocommons.org.au)
Nelson, Tiffanie (orcid: 0000-0002-5341-312X)
Rane, Rahul (orcid: 0000-0003-4616-6244)
Degnan, Sandie (orcid: 0000-0001-8003-0426)
Degnan, Bernie (orcid: 0000-0001-7573-8518)
Voelker, Julia (orcid: 0000-0002-7615-0553)
Genome Annotation, Genomics, Genome curation, Bioinformatics, Apollo software
WEBINAR: KBase - A knowledge base for systems biology
This record includes training materials associated with the Australian BioCommons webinar ‘KBase - A knowledge base for systems biology’. This webinar took place on 22 September 2021.
Event description
Developed for bench biologists and bioinformaticians, The Department of Energy Systems...
Keywords: Systems Biology, FAIR Research, Open Source Software, Metagenomics, Microbiology
WEBINAR: KBase - A knowledge base for systems biology
https://zenodo.org/records/5717580
https://dresa.org.au/materials/webinar-kbase-a-knowledge-base-for-systems-biology-653d9753-989d-4194-9230-6e2d90652955
This record includes training materials associated with the Australian BioCommons webinar ‘KBase - A knowledge base for systems biology’. This webinar took place on 22 September 2021.
Event description
Developed for bench biologists and bioinformaticians, The Department of Energy Systems Biology Knowledgebase (KBase) is a free, open source, software and data science platform designed to meet the grand challenge of systems biology: predicting and designing biological function.
This webinar will provide an overview of the KBase mission and user community, as well as a tour of the online platform and basic functionality. You’ll learn how KBase can support your research: Upload data, run analysis tools (Apps), share your analysis with collaborators, and publish your data and reproducible workflows. We’ll highlight a brand new feature that enables users to link environment and measurement data to sequencing data. You’ll also find out how KBase supports findable, accessible, interoperable, and reusable (FAIR) research by providing open, reproducible, shareable bioinformatics workflows.
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.
Q&A for Australian BioCommons KBase Webinar [PDF]: Document containing answers to questions asked during the webinar and links to additional resources
Introduction to KBase: Australian BioCommons Webinar [PDF]: Slides presented during the webinar
Materials shared elsewhere:
A recording of the webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/tJ94i9gOJfU
The slides are also available as Google slides:
https://tinyurl.com/KBase-webinar-slides
Melissa Burke (melissa@biocommons.org.au)
Dow, Ellen (orcid: 0000-0002-2079-0260)
Wood-Charlson, Elisha (orcid: 0000-0001-9557-7715)
Systems Biology, FAIR Research, Open Source Software, Metagenomics, Microbiology
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
WEBINAR: High performance bioinformatics: submitting your best NCMAS application
This record includes training materials associated with the Australian BioCommons webinar ‘High performance bioinformatics: submitting your best NCMAS application’. This webinar took place on 20 August 2021.
Bioinformaticians are increasingly turning to specialised compute infrastructure and...
Keywords: Computational Biology, Bioinformatics, High Performance Computing, HPC, NCMAS
WEBINAR: High performance bioinformatics: submitting your best NCMAS application
https://zenodo.org/records/5239883
https://dresa.org.au/materials/webinar-high-performance-bioinformatics-submitting-your-best-ncmas-application-ee80822f-74ac-41af-a5a4-e162c10e6d78
This record includes training materials associated with the Australian BioCommons webinar ‘High performance bioinformatics: submitting your best NCMAS application’. This webinar took place on 20 August 2021.
Bioinformaticians are increasingly turning to specialised compute infrastructure and efficient, scalable workflows as their research becomes more data intensive. Australian researchers that require extensive compute resources to process large datasets can apply for access to national high performance computing facilities (e.g. Pawsey and NCI) to power their research through the National Computational Merit Allocation Scheme (NCMAS). NCMAS is a competitive, merit-based scheme and requires applicants to carefully consider how the compute infrastructure and workflows will be applied.
This webinar provides life science researchers with insights into what makes a strong NCMAS application, with a focus on the technical assessment, and how to design and present effective and efficient bioinformatic workflows for the various national compute facilities. It will be followed by a short Q&A session.
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.
High performance bioinformatics: submitting your best NCMAS application - slides (PDF and PPTX): Slides presented during the webinar
Materials shared elsewhere:
A recording of the webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/HeFGjguwS0Y
Melissa Burke (melissa@biocommons.org.au)
Samaha, Georgina (orcid: 0000-0003-0419-1476)
Chew, Tracy (orcid: 0000-0001-9529-7705)
Computational Biology, Bioinformatics, High Performance Computing, HPC, NCMAS
WEBINAR: Getting started with R
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with R’. This webinar took place on 16 August 2021.
Data analysis skills are now central to most biological experiments. While Excel can cover some of your data analysis needs, it is not...
Keywords: R statistical software, R studio, Tidyverse, Bioinformatics, Data analysis
WEBINAR: Getting started with R
https://zenodo.org/records/5214277
https://dresa.org.au/materials/webinar-getting-started-with-r-1c8f2b21-bc4b-4b42-9a5d-d6096a2afbe6
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with R’. This webinar took place on 16 August 2021.
Data analysis skills are now central to most biological experiments. While Excel can cover some of your data analysis needs, it is not always the best choice, particularly for large and complex datasets.
R is an open-source software and programming language that enables data exploration, statistical analysis visualisation and more. While it is the tool of choice for data analysis, getting started can be a little daunting for those without a background in statistics.
In this webinar Saskia Freytag, an R user with over a decade of experience and member of the Bioconductor Community Advisory Board, will walk you through their hints and tips for getting started with R and data analysis. She’ll cover topics like R Studio and why you need it, where to get help, basic data manipulation, visualisations and extending R with libraries. The webinar will be followed by a short Q&A session
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.
Getting started with R - slides (PDF): Slides used in the presentation
Materials shared elsewhere:
A recording of the webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/JS7yZw7bnX8
Melissa Burke (melissa@biocommons.org.au)
Freytag, Saskia (orcid: 0000-0002-2185-7068)
R statistical software, R studio, Tidyverse, Bioinformatics, Data analysis
WEBINAR: Making sense of phosphoproteomics data with Phosphomatics
This record includes training materials associated with the Australian BioCommons webinar ‘Making sense of phosphoproteomics data with Phosphomatics’. This webinar took place on 2 June 2021.
Mass spectrometry-based phosphoproteomics is one of the most powerful tools available for investigating...
Keywords: Phosphoproteomics, Proteomics, Mass spectrometry
WEBINAR: Making sense of phosphoproteomics data with Phosphomatics
https://zenodo.org/records/5126083
https://dresa.org.au/materials/webinar-making-sense-of-phosphoproteomics-data-with-phosphomatics-a46784bd-7efe-4018-8893-761d1fcd32ba
This record includes training materials associated with the Australian BioCommons webinar ‘Making sense of phosphoproteomics data with Phosphomatics’. This webinar took place on 2 June 2021.
Mass spectrometry-based phosphoproteomics is one of the most powerful tools available for investigating the detailed molecular events that occur in response to cellular stimuli. Experiments can routinely detect and quantify thousands of phosphorylated peptides, and interpreting this data, and extracting biological meaning, remains challenging.
This webinar provides an overview of the phosphoproteomics data analysis website, Phosphomatics, that incorporates a suite of tools and resources for statistical and functional analysis that aim to simplify the process of extracting meaningful insights from experimental results.
Phosphomatics can natively import search and quantitation results from major search engines including MaxQuant and Proteome Discoverer and employs intuitive ‘wizards’ to guide users through data preprocessing routines such as filtering, normalization and transformation. A graphical platform of interactive univariate and multivariate analysis features is provided that allow subgroups of the uploaded data containing phosphosites of statistical interest to be created and interrogated through further functional analysis. A range of databases have been integrated that, for example, provide ligand and inhibitor information for key proteins or highlight key modification sites known to be involved in functional state regulation. At each step, published literature is natively incorporated along with a ‘bibliography builder’ that allows references of interest to be assembled and exported in various formats. Taken together, these expanded features aim to provide a ‘one-stop-shop’ for phosphoproteomics data analysis.
The webinar is followed by a short Q&A session.
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.
Phosphomatics -slides (PDF and PPTX): Slides used in the presentation
Materials shared elsewhere:
A recording of the webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/_WpeL5t2DSI
Melissa Burke (melissa@biocommons.org.au)
Leeming, Michael (orcid: 0000-0001-8981-0701)
Phosphoproteomics, Proteomics, Mass spectrometry
WEBINAR: Getting started with deep learning
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with deep learning’. This webinar took place on 21 July 2021.
Are you wondering what deep learning is and how it might be useful in your research? This high level overview introduces deep...
Keywords: Deep learning, Neural networks, Machine learning
WEBINAR: Getting started with deep learning
https://zenodo.org/records/5121004
https://dresa.org.au/materials/webinar-getting-started-with-deep-learning-986aa2d2-594a-4a7f-836c-44d6e9d5d017
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with deep learning’. This webinar took place on 21 July 2021.
Are you wondering what deep learning is and how it might be useful in your research? This high level overview introduces deep learning ‘in a nutshell’ and provides tips on which concepts and skills you will need to know to build a deep learning application. The presentation also provides pointers to various resources you can use to get started in deep learning.
The webinar is followed by a short Q&A session.
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.
Getting Started with Deep Learning - Slides (PDF): Slides used in the presentation
Materials shared elsewhere:
A recording of the webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/I1TmpnZUuiQ
Melissa Burke (melissa@biocommons.org.au)
Tang, Titus (orcid: 0000-0001-7496-1152)
Deep learning, Neural networks, Machine learning
WEBINAR: Detection of and phasing of hybrid accessions in a target capture dataset
This record includes training materials associated with the Australian BioCommons webinar ‘Detection of and phasing of hybrid accessions in a target capture dataset’. This webinar took place on 10 June 2021.
Hybridisation plays an important role in evolution, leading to the exchange of genes...
Keywords: Phylogenetics, Bioinformatics, Phylogeny, Genomics, Target capture sequencing
WEBINAR: Detection of and phasing of hybrid accessions in a target capture dataset
https://zenodo.org/records/5105013
https://dresa.org.au/materials/webinar-detection-of-and-phasing-of-hybrid-accessions-in-a-target-capture-dataset-51cc7740-0da1-45f1-95de-f1a47f676053
This record includes training materials associated with the Australian BioCommons webinar ‘Detection of and phasing of hybrid accessions in a target capture dataset’. This webinar took place on 10 June 2021.
Hybridisation plays an important role in evolution, leading to the exchange of genes between species and, in some cases, generate new lineages. The use of molecular methods has revealed the frequency and importance of reticulation events is higher than previously thought and this insight continues with the ongoing development of phylogenomic methods that allow novel insights into the role and extent of hybridisation. Hybrids notoriously provide challenges for the reconstruction of evolutionary relationships, as they contain conflicting genetic information from their divergent parental lineages. However, this also provides the opportunity to gain insights into the origin of hybrids (including autopolyploids).
This webinar explores some of the challenges and opportunities that occur when hybrids are included in a target capture sequence dataset. In particular, it describes the impact of hybrid accessions on sequence assembly and phylogenetic analysis and further explores how the information of the conflicting phylogenetic signal can be used to detect and resolve hybrid accessions. The webinar showcases a novel bioinformatic workflow, HybPhaser, that can be used to detect and phase hybrids in target capture datasets and will provide the theoretical background and concepts behind the workflow.
This webinar is part of a series of webinars and workshops developed by the Genomics for Australian Plants (GAP) Initiative that focuses on the analysis of target capture sequence data. In addition to two public webinars, the GAP bioinformatics working group is offering training workshops in the use of newly developed and existing scripts in an integrated workflow to participants in the 2021 virtual Australasian Systematic Botany Society Conference.
The materials are shared under a Creative Commons 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.
Nauheimer_hybphaser_slides (PDF): Slides presented during the webinar
Materials shared elsewhere:
A recording of the webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/japXwTAhA5U
Melissa Burke (melissa@biocommons.org.au)
Nauheimer, Lars (orcid: 0000-0002-2847-0966)
Phylogenetics, Bioinformatics, Phylogeny, Genomics, Target capture sequencing
WEBINAR: Conflict in multi-gene datasets: why it happens and what to do about it - deep coalescence, paralogy and reticulation
This record includes training materials associated with the Australian BioCommons webinar ‘Conflict in multi-gene datasets: why it happens and what to do about it - deep coalescence, paralogy and reticulation’. This webinar took place on 20 May 2021.
Multi-gene datasets used in phylogenetic...
Keywords: Phylogenetics, Bioinformatics, Phylogeny, Genomics, Target capture sequencing
WEBINAR: Conflict in multi-gene datasets: why it happens and what to do about it - deep coalescence, paralogy and reticulation
https://zenodo.org/records/5104998
https://dresa.org.au/materials/webinar-conflict-in-multi-gene-datasets-why-it-happens-and-what-to-do-about-it-deep-coalescence-paralogy-and-reticulation-a6743550-b904-45e1-9635-4e481ee8f739
This record includes training materials associated with the Australian BioCommons webinar ‘Conflict in multi-gene datasets: why it happens and what to do about it - deep coalescence, paralogy and reticulation’. This webinar took place on 20 May 2021.
Multi-gene datasets used in phylogenetic analyses, such as those produced by the sequence capture or target enrichment used in the Genomics for Australian Plants: Australian Angiosperm Tree of Life project, often show discordance between individual gene trees and between gene and species trees. This webinar explores three different forms of discordance: deep coalescence, paralogy, and reticulation. In each case, it considers underlying biological processes, how discordance presents in the data, and what bioinformatic or phylogenetic approaches and tools are available to address these challenges. It covers Yang and Smith paralogy resolution and general information on options for phylogenetic analysis.
This webinar is part of a series of webinars and workshops developed by the Genomics for Australian Plants (GAP) Initiative that focused on the analysis of target capture sequence data. In addition to two public webinars, the GAP bioinformatics working group is offering training workshops in the use of newly developed and existing scripts in an integrated workflow to participants in the 2021 virtual Australasian Systematic Botany Society Conference.
The materials are shared under a Creative Commons 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.
Schmidt-Lebuhn - paralogy lineage sorting reticulation - slides (PDF): Slides presented during the webinar
Materials shared elsewhere:
A recording of the webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/1bw81q898z8
Melissa Burke (melissa@biocommons.org.au)
Schmidt-Lebuhn, Alexander (orcid: 0000-0002-7402-8941)
Phylogenetics, Bioinformatics, Phylogeny, Genomics, Target capture sequencing
WORKSHOP: Variant calling in humans, animals and plants with Galaxy
This record includes training materials associated with the Australian BioCommons workshop ‘Variant calling in humans, animals and plants with Galaxy’. This workshop took place on 25 May 2021.
Variant calling in polyploid organisms, including humans, plants and animals, can help determine single...
Keywords: Variant calling, Genetic Variation Analysis, SNP annotation
WORKSHOP: Variant calling in humans, animals and plants with Galaxy
https://zenodo.org/records/5076668
https://dresa.org.au/materials/workshop-variant-calling-in-humans-animals-and-plants-with-galaxy-767f1816-1c06-478c-adf4-90b3b2d32a9c
This record includes training materials associated with the Australian BioCommons workshop ‘Variant calling in humans, animals and plants with Galaxy’. This workshop took place on 25 May 2021.
Variant calling in polyploid organisms, including humans, plants and animals, can help determine single or multi-variant contributors to a phenotype. Further, sexual reproduction (as compared to asexual) combines variants in a novel manner; this can be used to determine previously unknown variant - phenotype combinations but also to track lineage and lineage associated traits (GWAS studies), that all rely on highly accurate variant calling. The ability to confidently call variants in polyploid organisms is highly dependent on the balance between the frequency of variant observations against the background of non-variant observations, and even further compounded when one considers multi-variant positions within the genome. These are some of the challenges that will be explored in the workshop.
In this online workshop we focused on the tools and workflows available for variant calling in polyploid organisms in Galaxy Australia. The workshop provided opportunities for hands-on experience using Freebayes for variant calling and SnpEff and GEMINI for variant annotation. The workshop made use of data from a case study on diagnosing a genetic disease however the tools and workflows are equally applicable to other polyploid organisms and biological questions.
Access to all of the tools covered in this workshop was via Galaxy Australia, an online platform for biological research that allows people to use computational data analysis tools and workflows without the need for programming experience.
The materials are shared under a Creative Commons 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): schedule for the workshop
Variant calling - humans, animals, plants - slides (PPTX and PDF): slides used in the workshop
Materials shared elsewhere:
The tutorial used in this workshop is available via the Galaxy Training Network.
Wolfgang Maier, Bérénice Batut, Torsten Houwaart, Anika Erxleben, Björn Grüning, 2021 Exome sequencing data analysis for diagnosing a genetic disease (Galaxy Training Materials). https://training.galaxyproject.org/training-material/topics/variant-analysis/tutorials/exome-seq/tutorial.html Online; accessed 25 May 2021
Melissa Burke (melissa@biocommons.org.au)
Price, Gareth (orcid: 0000-0003-2439-8650)
Variant calling, Genetic Variation Analysis, SNP annotation
WEBINAR: Getting started with command line bioinformatics
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with command line bioinformatics’. This webinar took place on 22 June 2021.
Bioinformatics skills are in demand like never before and biologists are stepping up to the challenge of...
Keywords: Bioinformatics, Command line, Workflows, Bash, Computational biology
WEBINAR: Getting started with command line bioinformatics
https://zenodo.org/records/5068997
https://dresa.org.au/materials/webinar-getting-started-with-command-line-bioinformatics-248027d1-0773-485a-b511-831e2fd4cc64
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with command line bioinformatics’. This webinar took place on 22 June 2021.
Bioinformatics skills are in demand like never before and biologists are stepping up to the challenge of learning to analyse large and ever growing datasets. Learning how to use the command line can open up many options for data analysis but getting started can be a little daunting for those without a background in computer science.
Parice Brandies and Carolyn Hogg have recently put together ten simple rules for getting started with command-line bioinformatics to help biologists begin their computational journeys. In this webinar Parice walks you through their hints and tips for getting started with the command line. She covers topics like learning tech speak, evaluating your data and workflows, assessing computational requirements, computing options, the basics of software installation, curating and testing scripts, a bit of bash and keeping good records. The webinar will be followed by a short Q&A session.
The slides were created by Parice Brandies and are based on the publication ‘Ten simple rules for getting started with command-line bioinformatics’ (https://doi.org/10.1371/journal.pcbi.1008645). The slides are shared under a Creative Commons Attribution 4.0 International unless otherwise specified and were current at the time of the webinar.
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.
Getting started with command line bioinformatics - slides (PDF): Slides presented during the webinar
Materials shared elsewhere:
A recording of the webinar is available on the Australian BioCommons YouTube Channel
https://youtu.be/p7pA4OLB2X4
Melissa Burke (melissa@biocommons.org.au)
Brandies, Parice (orcid: 0000-0003-1702-2938)
Hogg, Carolyn (type: Supervisor)
Bioinformatics, Command line, Workflows, Bash, Computational biology
WORKSHOP: RNASeq: reads to differential genes and pathways
This record includes training materials associated with the Australian BioCommons workshop 'RNASeq: reads to differential genes and pathways'. This workshop took place over two, 3 hour sessions on 11 and 12 October 2023.Event descriptionRNA sequencing (RNAseq) is a popular and powerful technique...
Keywords: bioinformatics, transcriptomics, RNA-seq, RNAseq
WORKSHOP: RNASeq: reads to differential genes and pathways
https://zenodo.org/records/10045628
https://dresa.org.au/materials/workshop-rnaseq-reads-to-differential-genes-and-pathways
This record includes training materials associated with the Australian BioCommons workshop 'RNASeq: reads to differential genes and pathways'. This workshop took place over two, 3 hour sessions on 11 and 12 October 2023.Event descriptionRNA sequencing (RNAseq) is a popular and powerful technique used to understand the activity of genes. Using differential gene profiling methods, we can use RNAseq data to gain valuable insights into gene activity and identify variability in gene expression between samples to understand the molecular pathways underpinning many different traits. In this hands-on workshop, you will learn RNAseq fundamentals as you process, analyse, and interpret the results from a real RNAseq experiment on the command-line. In session one, you will convert raw sequence reads to analysis-ready count data with the nf-core/rnaseq workflow. In session two, you'll work interactively in RStudio to identify differentially expressed genes,perform functional enrichment analysis, and visualise and interpret your results using popular and best practice R packages. This workshop was delivered as a part of the Australian BioCommons Bring Your Own Data Platforms Project and will provide you with an opportunity to explore services and infrastructure built specifically for life scientists working at the command line. By the end of the workshop, you will be familiar with Pawsey's Nimbus cloud platform and be able to process your own RNAseq datasets and perform differential expression analysis on the command-line. Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.Lead trainers: Dr Georgina Samaha (Sydney Informatics Hub), Dr Nandan Deshpande (Sydney Informatics Hub)Facilitators: Ching-Yu Lu and Jessica Chung.Infrastructure provision: Audrey Stott (Pawsey Supercomputing Research Centre), Alex Ip (AARNet)Host: Melissa Burke, Australian BioCommons Training materialsFiles 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.Materials shared elsewhere:This workshop follows the tutorial 'Introduction to RNAseq workshop: reads to differential gene expression' developed by the Sydney Informatics Hub.https://sydney-informatics-hub.github.io/rnaseq-workshop-2023/Additional supporting materials are available via GitHubRstudio rnaseq container: https://github.com/Sydney-Informatics-Hub/Rstudio-rnaseq-contained/tree/mainRNAseq differential expression R notebook: https://github.com/Sydney-Informatics-Hub/rna-differential-expression-Rnotebook
Melissa Burke (melissa@biocommons.org.au)
Samaha, Georgina (orcid: 0000-0003-0419-1476)
Deshpande, Nandan (orcid: 0000-0002-0324-8728)
Lu, Ching-Yu
Chung, Jessica (orcid: 0000-0002-0627-0955)
Stott, Audrey
Ip, Alex (orcid: 0000-0001-8937-8904)
bioinformatics, transcriptomics, RNA-seq, RNAseq
WORKSHOP: Single cell RNAseq analysis in R
This record includes training materials associated with the Australian BioCommons workshop 'Single cell RNAseq analysis in R'. This workshop took place over two, 3.5 hour sessions on 26 and 27 October 2023.Event descriptionAnalysis and interpretation of single cell RNAseq (scRNAseq) data requires...
Keywords: bioinformatics, transcriptomics, single cell RNA-seq, Seurat, R statistical software
WORKSHOP: Single cell RNAseq analysis in R
https://zenodo.org/records/10042919
https://dresa.org.au/materials/workshop-single-cell-rnaseq-analysis-in-r-6a1126cf-7105-43ec-bf55-7c492f758301
This record includes training materials associated with the Australian BioCommons workshop 'Single cell RNAseq analysis in R'. This workshop took place over two, 3.5 hour sessions on 26 and 27 October 2023.Event descriptionAnalysis and interpretation of single cell RNAseq (scRNAseq) data requires dedicated workflows. In this hands-on workshop we will show you how to perform single cell analysis using Seurat - an R package for QC, analysis, and exploration of single-cell RNAseq data. We will discuss the 'why' behind each step and cover reading in the count data, quality control, filtering, normalisation, clustering, UMAP layout and identification of cluster markers. We will also explore various ways of visualising single cell expression data.This workshop is presented by the Australian BioCommons, Queensland Cyber Infrastructure Foundation (QCIF) and the Monash Genomics and Bioinformatics Platform with the assistance of a network of facilitators from the national Bioinformatics Training Cooperative.Lead trainers: Sarah Williams, Adele Barugahare, Paul Harrison, Laura Perlaza JimenezFacilitators: Nick Matigan, Valentine Murigneux, Magdalena (Magda) AntczakInfrastructure provision: Uwe WinterCoordinator: Melissa BurkeTraining materialsMaterials 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.scRNAseq_Schedule (PDF): A breakdown of the topics and timings for the workshopMaterials shared elsewhere:This workshop follows the tutorial 'scRNAseq Analysis in R with Seurat'https://swbioinf.github.io/scRNAseqInR_Doco/index.htmlSlides used to introduce key topics are available via GitHubhttps://github.com/swbioinf/scRNAseqInR_Doco/tree/main/slidesThis material is based on the introductory Guided Clustering Tutorial tutorial from Seurat.It is also drawing from a similar workshop held by Monash Bioinformatics Platform Single-Cell-Workshop, with material here.
Melissa Burke (melissa@biocommons.org.au)
Williams, Sarah
Barugahare, Adele (orcid: 0000-0002-8976-0094)
Harrison, Paul (orcid: 0000-0002-3980-268X)
Perlaza Jimenez, Laura (orcid: 0000-0002-8511-1134)
Matigan, Nicholas
Murigneux, Valentine (orcid: 0000-0002-1235-9462)
Antczak, Magdalena (orcid: 0000-0003-1503-1849)
Winter, Uwe
bioinformatics, transcriptomics, single cell RNA-seq, Seurat, R statistical software