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WORKSHOP: R: fundamental skills for biologists

This record includes training materials associated with the Australian BioCommons workshop ‘R: fundamental skills for biologists’. This workshop took place over four, three-hour sessions on 1, 8, 15 and 22 June 2022.

 

Event description

Biologists need data analysis skills to be able to...

Keywords: Bioinformatics, Analysis, Statistics, R software, RStudio, Data visualisation

WORKSHOP: R: fundamental skills for biologists https://dresa.org.au/materials/workshop-r-fundamental-skills-for-biologists-81aa00db-63ad-4962-a7ac-b885bf9f676b This record includes training materials associated with the Australian BioCommons workshop ‘R: fundamental skills for biologists’. This workshop took place over four, three-hour sessions on 1, 8, 15 and 22 June 2022.   Event description Biologists need data analysis skills to be able to interpret, visualise and communicate their research results. While Excel can cover some data analysis needs, there is a better choice, particularly for large and complex datasets.  R is a free, open-source software and programming language that enables data exploration, statistical analysis, visualisation and more. The large variety of R packages available for analysing biological data make it a robust and flexible option for data of all shapes and sizes.  Getting started can be a little daunting for those without a background in statistics and programming. In this workshop we will equip you with the foundations for getting the most out of R and RStudio, an interactive way of structuring and keeping track of your work in R. Using biological data from a model of influenza infection, you will learn how to efficiently and reproducibly organise, read, wrangle, analyse, visualise and generate reports from your data in R. Topics covered in this workshop include: Spreadsheets, organising data and first steps with R Manipulating and analysing data with dplyr Data visualisation Summarized experiments and getting started with Bioconductor   This workshop is presented by the Australian BioCommons and Saskia Freytag from WEHI  with the assistance of a network of facilitators from the national Bioinformatics Training Cooperative. 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 Recommended resources (PDF): A list of resources recommended by trainers and participants Q_and_A(PDF): Archive of questions and their answers from the workshop Slack Channel. Materials shared elsewhere:   This workshop follows the tutorial ‘Introduction to data analysis with R and Bioconductor’ which is publicly available. https://saskiafreytag.github.io/biocommons-r-intro/ This is derived from material produced as part of The Carpentries Incubator project https://carpentries-incubator.github.io/bioc-intro/ Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Analysis, Statistics, R software, RStudio, Data visualisation
WEBINAR: Protection of genomic data and the Australian Privacy Act: when is genomic data 'personal information'?

This record includes training materials associated with the Australian BioCommons webinar ‘Protection of genomic data and the Australian Privacy Act: when is genomic data ‘personal information’?’. This webinar took place on 6 April 2022.

Event description 

It is easy to assume that genomic data...

Keywords: Bioinformatics, Genomics, Genetic data, Personal information, Health information, Privacy

WEBINAR: Protection of genomic data and the Australian Privacy Act: when is genomic data 'personal information'? https://dresa.org.au/materials/webinar-protection-of-genomic-data-and-the-australian-privacy-act-when-is-genomic-data-personal-information-1f7194f9-4034-468f-8a78-614f83ef67b0 This record includes training materials associated with the Australian BioCommons webinar ‘Protection of genomic data and the Australian Privacy Act: when is genomic data ‘personal information’?’. This webinar took place on 6 April 2022. Event description  It is easy to assume that genomic data will be captured by legal definitions of ‘health information’ and ‘genetic information’, but the legal meaning of ‘genetic information’ need not align with scientific categories.  There are many different types of genomic data, with varied characteristics, uses and applications.  Clarifying when genomic data is covered by the Privacy Act 1988 (Cth) is an ongoing evaluative exercise but is important for at least 3 reasons:  those subject to the Privacy Act need to be able to confidently navigate their responsibilities understanding current controls is a prerequisite for meaningful external critique (and this is particularly important at a time when the Privacy Act is under review), and while legislation that applies to state public sector agencies is generally distinct from the Privacy Act there are similarities that extend the relevance of the question when is genomic data ‘personal information’ under the Privacy Act? In this presentation, Mark will explore the relationship between the legal concept of genetic information and the concept of genomic data relevant to health and medical research, reflect on the characteristics of each, and the possibility 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. Taylor_Slides (PDF): 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/Iaei-9Gu-AI Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Genomics, Genetic data, Personal information, Health information, Privacy
WORKSHOP: Introduction to Metabarcoding using QIIME2

This record includes training materials associated with the Australian BioCommons workshop ‘Introduction to Metabarcoding using QIIME2’. This workshop took place on 22 February 2022.

Event description

Metabarcoding has revolutionised the study of biodiversity science. By combining DNA taxonomy...

Keywords: Bioinformatics, Analysis, Workflows, Microbial ecology, Metabarcoding, Microbiome

WORKSHOP: Introduction to Metabarcoding using QIIME2 https://dresa.org.au/materials/workshop-introduction-to-metabarcoding-using-qiime2-d3a7ac82-63aa-47e6-9d8e-5126419f9982 This record includes training materials associated with the Australian BioCommons workshop ‘Introduction to Metabarcoding using QIIME2’. This workshop took place on 22 February 2022. Event description Metabarcoding has revolutionised the study of biodiversity science. By combining DNA taxonomy with high-throughput DNA sequencing, it offers the potential to observe a larger diversity in the taxa within a single sample, rapidly expanding the scope of microbial analysis and generating high-quality biodiversity data.  This workshop will introduce the topic of metabarcoding and how you can use Qiime2 to analyse 16S data and gain simultaneous identification of all taxa within a sample. Qiime2 is a popular tool used to perform powerful microbiome analysis that can transform your raw data into publication quality visuals and statistics. In this workshop, using example 16S data from the shallow-water marine anemone E. diaphana, you will learn how to use this pipeline to run essential steps in microbial analysis including generating taxonomic assignments and phylogenic trees, and performing both alpha- and beta- diversity analysis.  Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. Schedule (PDF): A breakdown of the topics and timings for the workshop Materials shared elsewhere: This workshop follows the tutorial ‘Introduction to metabarcoding with QIIME2’ which has been made publicly available by Melbourne Bioinformatics. https://www.melbournebioinformatics.org.au/tutorials/tutorials/qiime2/qiime2/ Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Analysis, Workflows, Microbial ecology, Metabarcoding, Microbiome
WEBINAR: Conservation genomics in the age of extinction

This record includes training materials associated with the Australian BioCommons webinar ‘Conservation genomics in the age of extinction’. This webinar took place on 8 March 2022.

Event description 

Biodiversity is crashing and millions of plant and animal species are at the edge of...

Keywords: Conservation genomics, Genomics, Bioinformatics, Sequencing, Threatened Species Initiative, Galaxy Australia

WEBINAR: Conservation genomics in the age of extinction https://dresa.org.au/materials/webinar-conservation-genomics-in-the-age-of-extinction-c7718a53-68ee-4c69-adf4-cd0550710d3f This record includes training materials associated with the Australian BioCommons webinar ‘Conservation genomics in the age of extinction’. This webinar took place on 8 March 2022. Event description  Biodiversity is crashing and millions of plant and animal species are at the edge of extinction. Understanding the genetic diversity of these species is an important tool for conservation biology but obtaining high quality genomes for threatened species is not always straightforward. In this webinar Dr Carolyn Hogg speaks about the work she has been doing with the Threatened Species Initiative to build genomic resources to understand and protect Australia’s threatened species. Using examples such as the Kroombit Tinker Frog and the Greater Bilby, Carolyn describes some of the complexities and challenges of generating genomes from short reads and HiFi reads for critically endangered species. She outlines the technologies and resources being used and how these are bridging the gap between genomicists, bioinformaticians and conservation experts to help save Australian species. 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. Materials shared elsewhere: A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/Bl7CaiGQ91s   Melissa Burke (melissa@biocommons.org.au) Conservation genomics, Genomics, Bioinformatics, Sequencing, Threatened Species Initiative, Galaxy Australia
WEBINAR: Establishing Gen3 to enable better human genome data sharing in Australia

This record includes training materials associated with the Australian BioCommons webinar ‘Establishing Gen3 to enable better human genome data sharing in Australia’. This webinar took place on 16 February 2022.

Event description 

Australian human genome initiatives are generating vast amounts...

Keywords: Bioinformatics, Genomics, Human genomics, Digital infrastructure, Gen3, Data sharing, Data management

WEBINAR: Establishing Gen3 to enable better human genome data sharing in Australia https://dresa.org.au/materials/webinar-establishing-gen3-to-enable-better-human-genome-data-sharing-in-australia-d8caf8c8-d447-4218-be01-95dfd0377f3e This record includes training materials associated with the Australian BioCommons webinar ‘Establishing Gen3 to enable better human genome data sharing in Australia’. This webinar took place on 16 February 2022. Event description  Australian human genome initiatives are generating vast amounts of human genome data. There is a desire and need to share data with collaborators but researchers face significant infrastructural, technical and administrative barriers in achieving this. To efficiently share and distribute their genome data they need scalable services and infrastructure that: is easily administered; allows for the efficient data management; enables sharing and interoperability; and is aligned with global standards for human genome data sharing. Australian BioCommons has brought together a team from Zero Childhood Cancer (Zero), the University of Melbourne Centre for Cancer Research (UMCCR) and Australian Access Federation to explore the use of Gen3 technology. Establishing systems for easier management and sharing of their human genome data holdings is no simple task, and the group wants to ensure that other Australian providers and Institutions can benefit from their experience and easily deploy the same solution in the future. Gen3 is an open source software suite that makes use of private and public clouds to tackle the challenges of data management, interoperability, data sharing and analysis. It has been used in several very large NIH-funded projects that collectively house and describe data derived from hundreds of thousands of human samples (e.g. NCI Genomic Data Commons, BioData Catalyst, BloodPAC, BrainCommons, Kids First Data Commons). In this webinar you’ll hear from UMCCR and Zero about their experiences and progress towards establishing Gen3 instances to better enable better human genome data sharing in Australia. They will outline the challenges and opportunities that have arisen through this Australian BioCommons project and demonstrate the capabilities of Gen3 for human genome research. 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. Gen3_Webinar_Slides (PDF): Slides presented during the webinar   Materials shared elsewhere: A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/1F6B03Byigk Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Genomics, Human genomics, Digital infrastructure, Gen3, Data sharing, Data management
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://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) Apollo Software, Bioinformatics, Analysis, Workflows, Genomics, Genome annotation
WORKSHOP: Hybrid de novo genome assembly

This record includes training materials associated with the Australian BioCommons workshop ‘Hybrid de novo genome assembly’. This workshop took place on 7 October 2021.

Workshop description

It’s now easier than ever to assemble new reference genomes thanks to hybrid genome assembly approaches...

Keywords: Galaxy Australia, Bioinformatics, Analysis, Workflows, Genomics, Genome assembly, De novo assembly

WORKSHOP: Hybrid de novo genome assembly https://dresa.org.au/materials/workshop-hybrid-de-novo-genome-assembly-714004ba-0348-47c8-a68f-038a1f8ccfb1 This record includes training materials associated with the Australian BioCommons workshop ‘Hybrid de novo genome assembly’. This workshop took place on 7 October 2021. Workshop description It’s now easier than ever to assemble new reference genomes thanks to hybrid genome assembly approaches which enable research on organisms for which reference genomes were not previously available. These approaches combine the strengths of short (Illumina) and long (PacBio or Nanopore) read technologies, resulting in improved assembly quality. In this workshop we will learn how to create and assess genome assemblies from Illumina and Nanopore reads using data from a Bacillus Subtilis strain. We will demonstrate two hybrid-assembly methods using the tools Flye, Pilon, and Unicycler to perform assembly and subsequent error correction. You will learn how to visualise input read sets and the assemblies produced at each stage and assess the quality of the final assembly. All analyses will be performed using 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. This workshop is presented by the Australian BioCommons and Melbourne Bioinformatics with the assistance of a network of facilitators from the national Bioinformatics Training Cooperative. Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. Schedule (PDF): A breakdown of the topics and timings for the workshop   Materials shared elsewhere: This workshop follows the tutorial ‘Hybrid genome assembly - Nanopore and Illumina’ developed by Melbourne Bioinformatics. https://www.melbournebioinformatics.org.au/tutorials/tutorials/hybrid_assembly/nanopore_assembly/ Melissa Burke (melissa@biocommons.org.au) Galaxy Australia, Bioinformatics, Analysis, Workflows, Genomics, Genome assembly, De novo assembly
WORKSHOP: Working with genomics sequences and features in R with Bioconductor

This record includes training materials associated with the Australian BioCommons workshop ‘Working with genomics sequences and features in R with Bioconductor’. This workshop took place on 23 September 2021.

Workshop description

Explore the many useful functions that the Bioconductor...

Keywords: R software, Bioconductor, Bioinformatics, Analysis, Genomics, Sequence analysis

WORKSHOP: Working with genomics sequences and features in R with Bioconductor https://dresa.org.au/materials/workshop-working-with-genomics-sequences-and-features-in-r-with-bioconductor-8399bf0d-1e9e-48f3-a840-3f70f23254bb This record includes training materials associated with the Australian BioCommons workshop ‘Working with genomics sequences and features in R with Bioconductor’. This workshop took place on 23 September 2021. Workshop description Explore the many useful functions that the Bioconductor environment offers for working with genomic data and other biological sequences.  DNA and proteins are often represented as files containing strings of nucleic acids or amino acids. They are associated with text files that provide additional contextual information such as genome annotations. This workshop provides hands-on experience with tools, software and packages available in R via Bioconductor for manipulating, exploring and extracting information from biological sequences and annotation files. We will look at tools for working with some commonly used file formats including FASTA, GFF3, GTF, methods for identifying regions of interest, and easy methods for obtaining data packages such as genome assemblies.  This workshop is presented by the Australian BioCommons and Monash Bioinformatics Platform with the assistance of a network of facilitators from the national Bioinformatics Training Cooperative. 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): schedule for the workshop providing a breakdown of topics and timings   Materials shared elsewhere: This workshop follows the tutorial ‘Working with DNA sequences and features in R with Bioconductor - version 2’ developed for Monash Bioinformatics Platform and Monash Data Fluency by Paul Harrison. https://monashdatafluency.github.io/r-bioc-2/ Melissa Burke (melissa@biocommons.org.au) R software, Bioconductor, Bioinformatics, Analysis, Genomics, Sequence analysis
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://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) 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://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) bioinformatics, transcriptomics, single cell RNA-seq, Seurat, R statistical software
WEBINAR: BioSamples: supporting multi-omics data integration with FAIR sample records

This record includes training materials associated with the Australian BioCommons webinar 'BioSamples: supporting multi-omics data integration with FAIR sample records'. This webinar took place on 4 October 2023.Event description The BioSamples database at EMBL-EBI is the ELIXIR deposition...

Keywords: Bioinformatics, Metadata, Multiomics, BioSamples, Data integration

WEBINAR: BioSamples: supporting multi-omics data integration with FAIR sample records https://dresa.org.au/materials/webinar-biosamples-supporting-multi-omics-data-integration-with-fair-sample-records This record includes training materials associated with the Australian BioCommons webinar 'BioSamples: supporting multi-omics data integration with FAIR sample records'. This webinar took place on 4 October 2023.Event description The BioSamples database at EMBL-EBI is the ELIXIR deposition database and EMBL-EBI's central institutional repository for information about biological samples (metadata). BioSamples can be used to search, submit and curate sample metadata across multiple projects and contexts. BioSamples records are the key point of connection between EMBL-EBI archives (e.g ENA, ArrayExpress) and other resources.This webinar will highlight how BioSamples can be used to enable multi-omic data sharing and integration including how to submit to the database in combination with other major public repositories. We will look at how BioSamples supports Findable, Accessible, Interoperable and Reusable (FAIR) principles for sample metadata management, and examine case studies where this has been beneficial, for example for integrating data to support the COVID-19 pandemic response.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.20231004_BioSamples_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/bRQ_6zZ4ecE?si=AbU-J2FMK9qVL_JJ Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Metadata, Multiomics, BioSamples, Data integration
WEBINAR: Getting started with RNAseq: Transforming raw reads into biological insights

This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with RNAseq: Transforming raw reads into biological insights’. This webinar took place on 6 September 2023.

Event description 

RNA sequencing (RNAseq) is a powerful technique for...

Keywords: Bioinformatics, Transcriptomics, RNA-seq, RNAseq, Gene expression

WEBINAR: Getting started with RNAseq: Transforming raw reads into biological insights https://dresa.org.au/materials/webinar-getting-started-with-rnaseq-transforming-raw-reads-into-biological-insights-1f7db385-e282-4332-a1c4-d1d73a769b1b This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with RNAseq: Transforming raw reads into biological insights’. This webinar took place on 6 September 2023. Event description  RNA sequencing (RNAseq) is a powerful technique for investigating gene expression in biological samples. Processing and analysing RNAseq data involves multiple steps to align raw sequence reads to a reference genome, count the number of reads mapped to each gene, and perform statistical analyses to identify differentially expressed genes and functionally annotate them. RNAseq experiments have many different applications as we apply them to a variety of research questions and organisms. This diversity of applications can make it challenging to appreciate all the design considerations, processing requirements, and limitations of RNAseq experiments as they apply to you. In this webinar, you will gain an understanding of the key considerations for designing and performing your own successful experiments with bulk RNA. We’ll start at the lab bench with RNA extraction, quality control, and library preparation, then move to the sequencing machine where you will make essential decisions about sequencing platforms, optimal sequencing depth, and the importance of replicates. We’ll talk about bioinformatics workflows for RNAseq data processing and the computational requirements of transforming raw sequencing reads to analysis-ready count data. Finally, we’ll discuss how to apply differential expression and functional enrichment analyses to gain biological insights from differentially expressed genes. This webinar was developed by the Sydney Informatics Hub in collaboration with the 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. Getting started with RNAseq: 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/tITR3WR_jWI Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Transcriptomics, RNA-seq, RNAseq, Gene expression
WEBINAR: Managing hands-on data analysis training with Galaxy

This record includes training materials associated with the Australian BioCommons webinar ‘Managing hands-on data analysis training with Galaxy’. This webinar took place on 25 July 2023.

Event description 

Looking for flexible, scalable, real-world solutions that enable data analysis skills to...

Keywords: Bioinformatics, Galaxy, Training, Training infrastructure

WEBINAR: Managing hands-on data analysis training with Galaxy https://dresa.org.au/materials/webinar-managing-hands-on-data-analysis-training-with-galaxy-6d3e8b36-69f2-4fec-9290-d5acd068624a This record includes training materials associated with the Australian BioCommons webinar ‘Managing hands-on data analysis training with Galaxy’. This webinar took place on 25 July 2023. Event description  Looking for flexible, scalable, real-world solutions that enable data analysis skills to be taught to anyone and anywhere?  Galaxy Australia, a national web service supporting 1000s of bioinformatics tools and workflows is a fantastic solution for training on bioinformatics concepts. Their "Training Infrastructure as a Service”, or TIaaS provides free compute and back-end support for data analysis training. It is paired with 100’s of easy-to-follow tutorials developed and maintained by the worldwide community on the Galaxy Training Network (GTN). TIaaS frees trainers from setting up and maintaining computational resources for their training events so that they can focus on student needs and learning outcomes This webinar will show you how to make the most of Galaxy Australia, TIaaS and the Galaxy Training Network for bioinformatics training. We’ll highlight all the nifty features you can use to plan, manage and deliver training to any size audience efficiently. 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. Managing data analysis training with Galaxy_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/VNE0pF6Nqgw Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Galaxy, Training, Training infrastructure
WORKSHOP: Translating workflows into Nextflow with Janis

This record includes training materials associated with the Australian BioCommons workshop ‘Translating workflows into Nextflow with Janis’. This workshop took place online on 19 June 2023.

Event description

Bioinformatics workflows are critical for reproducibly transferring methodologies...

Keywords: Bioinformatics, Workflows, Nextflow, CWL, Galaxy

WORKSHOP: Translating workflows into Nextflow with Janis https://dresa.org.au/materials/workshop-translating-workflows-into-nextflow-with-janis-36386c6d-f9a2-4b4d-afa9-062ce3b8ac5d This record includes training materials associated with the Australian BioCommons workshop ‘Translating workflows into Nextflow with Janis’. This workshop took place online on 19 June 2023. Event description Bioinformatics workflows are critical for reproducibly transferring methodologies between research groups and for scaling between computational infrastructures. Research groups currently invest a lot of time and effort in creating and updating workflows; the ability to translate from one workflow language into another can make them easier to share, and maintain with minimal effort. For example, research groups that would like to run an existing Galaxy workflow on HPC, or extend it for their use, might find translating the workflow to Nextflow more suitable for their ongoing use-cases.  Janis is a framework that provides an abstraction layer for describing workflows, and a tool that can translate workflows between existing languages such as CWL, WDL, Galaxy and Nextflow. Janis aims to translate as much as it can, leaving the user to validate the workflow and make small manual adjustments where direct translations are not possible. Originating from the Portable Pipelines Project between Melbourne Bioinformatics, the Peter MacCallum Cancer Centre, and the Walter and Eliza Hall Institute of Medical Research, this tool is now available for everyone to use. This workshop provides an introduction to Janis and how it can be used to translate Galaxy and CWL based tools and workflows into Nextflow. Using hands-on examples we’ll step you through the process and demonstrate how to optimise, troubleshoot and test the translated workflows. This workshop event and accompanying materials were developed by the Melbourne Bioinformatics and the Peter MacCallum Cancer Centre. The workshop was enabled through the Australian BioCommons - Bring Your Own Data Platforms project funded by the Australian Research Data Commons and NCRIS via Bioplatforms Australia.    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. Intro to Galaxy (PDF): Slides presented during the workshop Intro to CWL (PDF): Slides presented during the workshop Intro to the session & Janis (PDF): Slides presented during the workshop Janis_Schedule (PDF): Schedule for the workshop providing a breakdown of topics and timings Materials shared elsewhere: This workshop follows the accompanying training materials: https://www.melbournebioinformatics.org.au/tutorials/tutorials/janis_translate/janis_translate   A recording of the workshop is available on the Australian BioCommons YouTube channel: https://youtu.be/0IiY1GEx_BY Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Workflows, Nextflow, CWL, Galaxy
WEBINAR:Genomic data - improving discovery and access management

This record includes training materials associated with the Australian BioCommons webinar ‘Genomic data - improving discovery and access management’. This webinar took place on 14 June 2023.

Event description 

Australian human genome initiatives are generating vast amounts of human genome data...

Keywords: Bioinformatics, Data security, Genomics, Data access management

WEBINAR:Genomic data - improving discovery and access management https://dresa.org.au/materials/webinar-genomic-data-improving-discovery-and-access-management-1b7da2fd-54b0-49b9-bd13-b1f846a5c1c4 This record includes training materials associated with the Australian BioCommons webinar ‘Genomic data - improving discovery and access management’. This webinar took place on 14 June 2023. Event description  Australian human genome initiatives are generating vast amounts of human genome data to understand the cause of complex diseases, improve diagnosis / early disease detection and identify tailored treatment options.  To achieve this, genomic data needs to be compared between multiple individuals and cohorts, often across efforts/jurisdictions, at national or global scales, and requires the genomic data to be findable, searchable, shareable, and linkable to analytical capabilities. The Human Genome Platform Project aims to make it as easy as possible to securely and responsibly share human genome research data nationally and internationally. The project is building a ‘services toolbox’ that combines best practice technologies in human genome data sharing. In this webinar the project team will discuss three important aspects of human genomic data sharing i) discovery of genomic cohorts and the GA4GH Beacon protocol that enables this functionality across multiple sites ii) streamlining of data access request management; the Garvan will share experience using the Resource Entitlement Management System (REMS) software package. iii) community management functionality of CILogon and 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. Genomic data - improving discovery and access managements - slides.pdf: 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/9SD6gpjDGWE Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Data security, Genomics, Data access management
WORKSHOP: Unlocking nf-core - customising workflows for your research

This record includes training materials associated with the Australian BioCommons workshop Unlocking nf-core - customising workflows for your research’. This workshop took place over two, 3 hour sessions on 18-19 May 2023.

Event description

Processing and analysing omics datasets poses many...

Keywords: Bioinformatics, Workflows, Nextflow, nf-core

WORKSHOP: Unlocking nf-core - customising workflows for your research https://dresa.org.au/materials/workshop-unlocking-nf-core-customising-workflows-for-your-research-1584ff39-e007-4422-9fd5-4e407df6b6c5 This record includes training materials associated with the Australian BioCommons workshop Unlocking nf-core - customising workflows for your research’. This workshop took place over two, 3 hour sessions on 18-19 May 2023. Event description Processing and analysing omics datasets poses many challenges to life scientists, particularly when we need to share our methods with other researchers and scale up our research. Public and reproducible bioinformatics workflows, like those developed by nf-core, are invaluable resources for the life science community. nf-core is a community-driven effort to provide high-quality bioinformatics workflows for common analyses including, RNAseq, mapping, variant calling, and single cell transcriptomics. A big advantage of using nf-core workflows is the ability to customise and optimise them for different computational environments, types and sizes of data and research goals.  This workshop will set you up with the foundational knowledge required to run and customise nf-core workflows in a reproducible manner. On day 1 you will learn about the nf-core tools utility, and step through the code structure of nf-core workflows. Then on day 2, using the nf-core/rnaseq workflow as an example, you will explore the various ways to adjust the workflow parameters, customise processes, and configure the workflow for your computational environment. This workshop event and accompanying materials were developed by the Sydney Informatics Hub, University of Sydney in partnership with Seqera Labs, Pawsey Supercomputing Research Centre, and Australia’s National Research Education Network (AARNet). The workshop was enabled through the Australian BioCommons - Bring Your Own Data Platforms project (Australian Research Data Commons and NCRIS via Bioplatforms Australia).  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. nfcore_Schedule: Schedule for the workshop providing a breakdown of topics and timings nfcore_Q_and_A: Archive of questions and their answers from the workshop Slack Channel. Materials shared elsewhere: This workshop follows the accompanying training materials that were developed by the Sydney Informatics Hub, University of Sydney in partnership with Seqera Labs, Pawsey Supercomputing Research Centre, and Australia’s National Research Education Network (AARNet).  https://sydney-informatics-hub.github.io/customising-nfcore-workshop Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Workflows, Nextflow, nf-core
WEBINAR: Getting started with proteomics

This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with proteomics’. This webinar took place on 7 June 2023.

Event description 

Proteomics aims to identify and quantify all the proteins and peptides within a sample. Mass-spectrometry is...

Keywords: Bioinformatics, Proteomics, Mass spectrometry

WEBINAR: Getting started with proteomics https://dresa.org.au/materials/webinar-getting-started-with-proteomics-134c519c-0cea-4195-b444-1e73d551a20e This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with proteomics’. This webinar took place on 7 June 2023. Event description  Proteomics aims to identify and quantify all the proteins and peptides within a sample. Mass-spectrometry is the most common tool for proteomics and the wide array of methods, techniques and specialised approaches available have made it a popular method for probing cells, tissue and organisms in response to various stimuli or diseases. Each proteomics method has unique experimental design considerations and optimum workflows for data analysis meaning that there is no one-size-fits all solution. The variety of approaches available provides flexibility but can be bewildering and a barrier to getting started.  This webinar sets you up with the foundational knowledge of what to look out for when designing and understanding proteomics experiments. It outlines what you can and can’t do with proteomics, the type of data to expect as well as common data analysis approaches and quality control steps. This webinar was developed in collaboration with the Australian Core Facilities and Australian Proteomics Communities. 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. Getting started with proteomics_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/RSrk2yqklQo Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Proteomics, Mass spectrometry
WEBINAR: Pro tips for scaling bioinformatics workflows to HPC

This record includes training materials associated with the Australian BioCommons webinar ‘Pro tips for scaling bioinformatics workflows to HPC’. This webinar took place on 31 May 2023.

Event description 

High Performance Computing (HPC) infrastructures offer the computational scale and...

Keywords: Bioinformatics, Workflows, HPC, High Performance Computing

WEBINAR: Pro tips for scaling bioinformatics workflows to HPC https://dresa.org.au/materials/webinar-pro-tips-for-scaling-bioinformatics-workflows-to-hpc-9f2a8b90-88da-433b-83b2-b1ab262dd9df This record includes training materials associated with the Australian BioCommons webinar ‘Pro tips for scaling bioinformatics workflows to HPC’. This webinar took place on 31 May 2023. Event description  High Performance Computing (HPC) infrastructures offer the computational scale and efficiency that life scientists need to handle complex biological datasets and multi-step computational workflows. But scaling workflows to HPC from smaller, more familiar computational infrastructures brings with it new jargon, expectations, and processes to learn. To make the most of HPC resources, bioinformatics workflows need to be designed for distributed computing environments and carefully manage varying resource requirements, and data scale related to biology.   In this webinar, Dr Georgina Samaha from the Sydney Informatics Hub, Dr Matthew Downton from the National Computational Infrastructure (NCI) and Dr Sarah Beecroft from the Pawsey Supercomputing Research Centre help you navigate the world of HPC for running and developing bioinformatics workflows. They explain when you should take your workflows to HPC and highlight the architectural features you should make the most of to scale your analyses once you’re there. You’ll hear pro-tips for dealing with common pain points like software installation, optimising for parallel computing and resource management, and will find out how to get access to Australia’s National HPC infrastructures at NCI and Pawsey.  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. Pro-tips_HPC_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/YKJDRXCmGMo Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Workflows, HPC, High Performance Computing
WEBINAR: AlphaFold: what's in it for me?

This record includes training materials associated with the Australian BioCommons webinar ‘WEBINAR: AlphaFold: what’s in it for me?’. This webinar took place on 18 April 2023.

Event description 

AlphaFold has taken the scientific world by storm with the ability to accurately predict the...

Keywords: Bioinformatics, Machine Learning, Structural Biology, Proteins, Drug discovery, AlphaFold, AI, Artificial Intelligence, Deep learning

WEBINAR: AlphaFold: what's in it for me? https://dresa.org.au/materials/webinar-alphafold-what-s-in-it-for-me-4d1ea222-4240-4b68-b9ae-7769ac664ee0 This record includes training materials associated with the Australian BioCommons webinar ‘WEBINAR: AlphaFold: what’s in it for me?’. This webinar took place on 18 April 2023. Event description  AlphaFold has taken the scientific world by storm with the ability to accurately predict the structure of any protein in minutes using artificial intelligence (AI). From drug discovery to enzymes that degrade plastics, this promises to speed up and fundamentally change the way that protein structures are used in biological research.  Beyond the hype, what does this mean for structural biology as a field (and as a career)? Dr Craig Morton, Drug Discovery Lead at the CSIRO, is an early adopter of AlphaFold and has decades of expertise in protein structure / function, protein modelling, protein – ligand interactions and computational small molecule drug discovery, with particular interest in anti-infective agents for the treatment of bacterial and viral diseases. Craig joins this webinar to share his perspective on the implications of AlphaFold for science and structural biology. He will give an overview of how AlphaFold works, ways to access AlphaFold, and some examples of how it can be used for protein structure/function analysis. Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. Materials shared elsewhere: A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/4ytn2_AiH8s Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Machine Learning, Structural Biology, Proteins, Drug discovery, AlphaFold, AI, Artificial Intelligence, Deep learning
WEBINAR AND PANEL DISCUSSION: Sustainability of biodata resources

This record includes training materials associated with the Australian BioCommons webinar and panel discussion ‘Sustainability of biodata resources’. This event took place on 8 March 2023.

Event description 

Environmental, agricultural and biomedical research is dependent on the availability of...

Keywords: Bioinformatics, Open science, Services and resources, Tools, Databases, Global Biodata Coalition

WEBINAR AND PANEL DISCUSSION: Sustainability of biodata resources https://dresa.org.au/materials/webinar-and-panel-discussion-sustainability-of-biodata-resources-55c612d7-08ea-4d9a-a1fa-6816067048d1 This record includes training materials associated with the Australian BioCommons webinar and panel discussion ‘Sustainability of biodata resources’. This event took place on 8 March 2023. Event description  Environmental, agricultural and biomedical research is dependent on the availability of high quality data that is made available through biodata resources and databases hosted locally, nationally and internationally. The reality is that funding for development, maintenance and sustainability of biodata resources is often short-term and piecemeal leaving the resources that life scientists depend on in a precarious position. The Global Biodata Coalition was formed in response to this challenge to provide a forum for research funders and others around the globe to better coordinate and share approaches for the efficient management and growth of biodata resources worldwide. In this extended webinar we discuss the theme of development and sustainability of biodata resources with a panel of guests. We’ll hear about the goals and activities of the Global Biodata Coalition and the challenges faced by well established and highly curated Australian and international data resources (Stemformatics, Community for Antimicrobial Drug Discovery (CO-ADD) Database and InnateDB) in sustaining these resources. The presentations and panel discussion will be followed by questions from the audience. 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. Materials shared elsewhere: A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/T5Z5prXkvEA Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Open science, Services and resources, Tools, Databases, Global Biodata Coalition
WORKSHOP: Make your bioinformatics workflows findable and citable

This record includes training materials associated with the Australian BioCommons workshop ‘Make your bioinformatics workflows findable and citable’. This workshop took place on 21 March 2023.

Event description

Computational workflows are invaluable resources for research communities. They help...

Keywords: Bioinformatics, Workflows, WorkflowHub, FAIR, Open Science

WORKSHOP: Make your bioinformatics workflows findable and citable https://dresa.org.au/materials/workshop-make-your-bioinformatics-workflows-findable-and-citable-74e85d1c-d869-429e-b942-8391f4bab23d This record includes training materials associated with the Australian BioCommons workshop ‘Make your bioinformatics workflows findable and citable’. This workshop took place on 21 March 2023. Event description Computational workflows are invaluable resources for research communities. They help us  standardise common analyses, collaborate with other researchers, and support reproducibility. Bioinformatics workflow developers invest significant time and expertise to create, share, and maintain these resources for the benefit of the wider community and being able to easily find and access workflows is an essential factor in their uptake by the community. Increasingly, the research community is turning to workflow registries to find and access public workflows that can be applied to their research. Workflow registries support workflow findability and citation by providing a central repository and allowing users to search for and discover them easily. This workshop will introduce you to workflow registries and support attendees to register their workflows on the popular workflow registry, WorkflowHub. We’ll kick off the workshop with an introduction to the concepts underlying workflow findability, how it can benefit workflow developers, and how you can make the most of workflow registries to share your computational workflows with the research community. You will then have the opportunity to register your own workflows in WorkflowHub with support from our trainers.  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. 2023-03-21_Workflows_slides (PDF): A copy of the slides presented during the workshop Materials shared elsewhere: A recording of the first part of this workshop is available on the Australian BioCommons YouTube Channel: https://youtu.be/2kGKxaPuQN8 Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Workflows, WorkflowHub, FAIR, Open Science
WORKSHOP: RNA-Seq: reads to differential genes and pathways

This record includes training materials associated with the Australian BioCommons workshop ‘RNA-Seq: reads to differential genes and pathways’. This workshop took place over two, 3.5 hour sessions on 27 and 28 September 2022.

Event description

RNA sequencing (RNA-seq) is a common method used to...

Keywords: Bioinformatics, Analysis, Transcriptomics, RNA-seq, Workflows, Nextflow, nf-co.re

WORKSHOP: RNA-Seq: reads to differential genes and pathways https://dresa.org.au/materials/workshop-rna-seq-reads-to-differential-genes-and-pathways-5a384156-d3de-4d5d-9797-e689bf6592f8 This record includes training materials associated with the Australian BioCommons workshop ‘RNA-Seq: reads to differential genes and pathways’. This workshop took place over two, 3.5 hour sessions on 27 and 28 September 2022. Event description RNA sequencing (RNA-seq) is a common method used to understand the differences in gene expression and molecular pathways between two or more groups. This workshop introduces the fundamental concepts of RNA sequencing experiments and will allow you to try out the analysis using data from a study of Williams-Beuren Syndrome, a rare disease.  In the first part of the workshop you will learn how to convert sequence reads into analysis ready count data. To do this we will use nf-core/rnaseq - a portable, scalable, reproducible and publicly available workflow on Pawsey Nimbus Cloud. In the second part of the workshop you will use the count data you created to identify differential genes and pathways using R/Rstudio. By the end of the workshop, you should be able to perform your own RNA-seq analysis for differential gene expression and pathway analysis! This workshop is presented by the Australian BioCommons and Sydney Informatics Hub with the assistance of a network of facilitators from the national Bioinformatics Training Cooperative. 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. RNAseq reads to differential genes and pathways - Additional Resources (PDF): Additional resources compiled by the Sydney Informatics Hub rnaseq_DE_analysis_Day2.html: HTML version of code used on day 2 of the workshop rnaseq_DE_analysis_Day2.Rmd: R Markdown version of code used on day 2 of the workshop RNAseq reads to differential genes and pathways_Q_and_A (PDF): Archive of questions and their answers from the workshop Slack Channel. Materials shared elsewhere: This workshop follows the tutorial ‘RNA-seq: reads to differential gene expression workshop series’ developed by the Sydney Informatics Hub. https://sydney-informatics-hub.github.io/training.RNAseq.series-quarto/ Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Analysis, Transcriptomics, RNA-seq, Workflows, Nextflow, nf-co.re
WEBINAR: Variant interpretation: from the clinic to the lab… and back again

This record collates training materials associated with the Australian BioCommons/Melbourne Genomics webinar ‘Variant interpretation: from the clinic to the lab… and back again’. This webinar took place on 7 December 2022.

Event description 

The use of genomic testing is increasing rapidly as...

Keywords: Clinical genomics, Variant interpretation, Variant curation, Continuing Professional Development, Professional Development, Bioinformatics, Genomics, Variant calling

WEBINAR: Variant interpretation: from the clinic to the lab… and back again https://dresa.org.au/materials/webinar-variant-interpretation-from-the-clinic-to-the-lab-and-back-again-5c6aed91-24cd-4314-9638-5e60d51e1af1 This record collates training materials associated with the Australian BioCommons/Melbourne Genomics webinar ‘Variant interpretation: from the clinic to the lab… and back again’. This webinar took place on 7 December 2022. Event description  The use of genomic testing is increasing rapidly as the cost of genome sequencing decreases. Many areas of the health workforce are upskilling in genomics to help meet the increased demand. From clinicians learning how to use the right test, for the right patient, at the right time, to medical scientists learning how to interpret and classify variants, and data scientists to learning how to better create and continuously refine the pipelines and software to handle and curate big data. In this webinar, we’ll hear from two people working at the coalface of variant interpretation – one in a diagnostic laboratory and the other in a cancer research laboratory. Naomi Baker is Medical Scientist at Victorian Clinical Genetics Services. She helps process hundreds of genomic tests per year to find the variants that cause rare diseases. She’ll explain the clinical variant interpretation processes she uses, the pipelines, professions and people involved. Joep Vissers is a Curation Team Leader, at the University of Melbourne Centre for Cancer Research, Department of Clinical Pathology. Joep, who also teaches cancer biology at the University, will describe how he uses variant interpretation in his work at the research/clinical interface, and the shift in mindset required when working with data for these different purposes. Amy Nisselle, Genomics Workforce Lead at Melbourne Genomics, will then briefly outline some of the education programs available in clinical variant interpretation. This webinar is co-presented by Australian BioCommons and Melbourne Genomics 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. Variant interpretation from the clinic to the lab and back again.pdf: 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/wLMhwIiK8Lw Melissa Burke (melissa@biocommons.org.au) Clinical genomics, Variant interpretation, Variant curation, Continuing Professional Development, Professional Development, Bioinformatics, Genomics, Variant calling
WEBINAR: Effective, inclusive, and scalable training in the life sciences, clinical education and beyond

This record includes training materials associated with the Australian BioCommons/Melbourne Genomics webinar ‘Effective, inclusive, and scalable training in the life sciences, clinical education and beyond’. This webinar took place on 4 November 2022.

Event description 

Scientists and educators...

Keywords: Short-format training, Clinical education, Continuing education, Professional development, Training, Lifelong learning, Pedagogy

WEBINAR: Effective, inclusive, and scalable training in the life sciences, clinical education and beyond https://dresa.org.au/materials/webinar-effective-inclusive-and-scalable-training-in-the-life-sciences-clinical-education-and-beyond-52c113ff-573c-4ae8-a3f0-482c86f1818a This record includes training materials associated with the Australian BioCommons/Melbourne Genomics webinar ‘Effective, inclusive, and scalable training in the life sciences, clinical education and beyond’. This webinar took place on 4 November 2022. Event description  Scientists and educators working in the life sciences must continuously acquire new knowledge and skills to stay up-to-date with the latest methods, technologies and research. Short-format training, such as webinars, workshops and bootcamps, are popular ways of quickly learning about new topics and gaining new skills. As trainers and educators, how can we ensure that short-format training is effective and inclusive for all? How can we ensure that our learners are equipped to continue learning and applying their new skills once they return to their day jobs? And how can we do this in a way that is scalable and sustainable? The Bicycle Principles assemble education theory and community experience into a framework for improving short-format training so that it is effective, inclusive and scalable. Over 30 international experts, including colleagues from the Australian BioCommons, Melbourne Genomics and other Australian and New Zealand organisations, helped develop the principles and an associated set of recommendations. Jason Williams, Assistant Director, DNA Learning Center, Cold Spring Harbor Laboratory - a leading genomics and bioinformatics educator and project lead, joins us to discuss the Principles and how they can be applied to achieve scalable and sustainable training in a range of Australian settings. This webinar is co-hosted by Australian BioCommons and Melbourne Genomics 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. WILLIAMS-Jason_aus-biocommons_nov-2022 (PDF): 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/18dub7jGeQ8 Melissa Burke (melissa@biocommons.org.au) Short-format training, Clinical education, Continuing education, Professional development, Training, Lifelong learning, Pedagogy
WEBINAR: Here's one we prepared earlier: (re)creating bioinformatics methods and workflows with Galaxy Australia

This record includes training materials associated with the Australian BioCommons webinar ‘Here’s one we prepared earlier: (re)creating bioinformatics methods and workflows with Galaxy Australia’. This webinar took place on 26 October 2022.

Event description 

Have you discovered a brilliant...

Keywords: Bioinformatics, Workflows, FAIR, Galaxy Australia

WEBINAR: Here's one we prepared earlier: (re)creating bioinformatics methods and workflows with Galaxy Australia https://dresa.org.au/materials/webinar-here-s-one-we-prepared-earlier-re-creating-bioinformatics-methods-and-workflows-with-galaxy-australia-134a8bf5-3801-421f-a454-e0f9020f4871 This record includes training materials associated with the Australian BioCommons webinar ‘Here’s one we prepared earlier: (re)creating bioinformatics methods and workflows with Galaxy Australia’. This webinar took place on 26 October 2022. Event description  Have you discovered a brilliant bioinformatics workflow but you’re not quite sure how to use it? In this webinar we will introduce the power of Galaxy for construction and (re)use of reproducible workflows, whether building workflows from scratch, recreating them from published descriptions and/or extracting from Galaxy histories. Using an established bioinformatics method, we’ll show you how to: Use the workflows creator in Galaxy Australia  Build a workflow based on a published method Annotate workflows so that you (and others) can understand them  Make workflows finable and citable (important and very easy to do!) 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. GalaxyWorkflows_Slides (PDF): 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/IMkl6p7hkho Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Workflows, FAIR, Galaxy Australia
WEBINAR: Portable, reproducible and scalable bioinformatics workflows using Nextflow and Pawsey Nimbus Cloud

This record includes training materials associated with the Australian BioCommons webinar ‘Portable, reproducible and scalable bioinformatics workflows using Nextflow and Pawsey Nimbus Cloud’. This webinar took place on 20 September 2022.

Event description 

Bioinformatics workflows can support...

Keywords: Bioinformatics, Workflows, Nextflow, Containerisation

WEBINAR: Portable, reproducible and scalable bioinformatics workflows using Nextflow and Pawsey Nimbus Cloud https://dresa.org.au/materials/webinar-portable-reproducible-and-scalable-bioinformatics-workflows-using-nextflow-and-pawsey-nimbus-cloud-824bc004-4dcb-4bb5-b0dc-a207c44bbbe6 This record includes training materials associated with the Australian BioCommons webinar ‘Portable, reproducible and scalable bioinformatics workflows using Nextflow and Pawsey Nimbus Cloud’. This webinar took place on 20 September 2022. Event description  Bioinformatics workflows can support portable, reproducible and scalable analysis of omics datasets but using workflows can be challenging for both beginners and experienced bioinformaticians. Beginners face a steep learning curve to be able to build and deploy their own bioinformatics workflows while those with more experience face challenges productionising and scaling code for custom workflows and big data.  Bioinformaticians across the world are using Nextflow to build and manage workflows. Many of these workflows are shared for others to use and supported by the community via nf-co.re. So far, 39 workflows for omics data are available with another 23 under development. These workflows cover common analyses such as RNAseq, mapping, variant calling, single cell transcriptomics and more and can be easily deployed by anyone, regardless of skill level. In this webinar, Nandan Deshpande from the Sydney Informatics Hub, University of Sydney, will discuss how you can deploy freely available Nextflow (nf.co-re) bioinformatics workflows with a single command. We describe how you can quickly get started deploying these workflows using Pawsey Nimbus Cloud. For advanced users, we introduce you to Nextflow concepts to get you started with building your own workflows that will save you time and support reproducible, portable and scalable analysis. In the latter half of the webinar, Sarah Beecroft from the Pawsey Supercomputing Research Centre will talk about their Nimbus Cloud systems. While Nextflow supports portability and can run on many computing infrastructures, we describe why we specifically love using Nimbus with Nextflow for many bioinformatics projects. We will describe some of the nf.co-re workflows that we have used on Nimbus and the research outcomes. We will also cover when not to use Nimbus and the alternatives we recommend.   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. Nextflow_Nimbus_slides (PDF): 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/VnLX63yXbJU Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Workflows, Nextflow, Containerisation
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 22 and 3 August 2022.

Event description

Analysis and interpretation of single cell RNAseq (scRNAseq) data...

Keywords: Bioinformatics, Analysis, Transcriptomics, R software, Single cell RNAseq, scRNAseq

WORKSHOP: Single cell RNAseq analysis in R https://dresa.org.au/materials/workshop-single-cell-rnaseq-analysis-in-r-4f60b82d-2f1e-4021-9569-6955878dd945 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 22 and 3 August 2022. Event description Analysis 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 and Queensland Cyber Infrastructure Foundation (QCIF) with the assistance of a network of facilitators from the national Bioinformatics Training Cooperative.   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. scRNAseq_Slides (PDF): Slides used to introduce topics scRNAseq_Schedule (PDF): A breakdown of the topics and timings for the workshop scRNAseq_Resources (PDF): A list of resources recommended by trainers and participants scRNAseq_QandA(PDF): Archive of questions and their answers from the workshop Slack Channel.   Materials shared elsewhere: This workshop follows the tutorial ‘scRNAseq Analysis in R with Seurat’ https://swbioinf.github.io/scRNAseqInR_Doco/index.html This 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) Bioinformatics, Analysis, Transcriptomics, R software, Single cell RNAseq, scRNAseq
WEBINAR: Getting started with whole genome mapping and variant calling on the command line

This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with whole genome mapping and variant calling on the command line’. This webinar took place on 24 August 2022.

Event description 

Life scientists are increasingly using whole genome...

Keywords: Genome mapping, Variant calling, Bioinformatics, Workflows

WEBINAR: Getting started with whole genome mapping and variant calling on the command line https://dresa.org.au/materials/webinar-getting-started-with-whole-genome-mapping-and-variant-calling-on-the-command-line-2046f36b-0c7a-4523-9c21-08046900d3ff This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with whole genome mapping and variant calling on the command line’. This webinar took place on 24 August 2022. Event description  Life scientists are increasingly using whole genome sequencing (WGS) to ask and answer research questions across the tree of life. Before any of this work can be done, there is the essential but challenging task of processing raw sequencing data. Processing WGS data is a computationally challenging, multi-step process used to create a map of an individual’s genome and identify genetic variant sites. The tools you use in this process and overall workflow design can look very different for different researchers, it all depends on your dataset and the research questions you’re asking. Luckily, there are lots of existing WGS processing tools and pipelines out there, but knowing where to start and what your specific needs are is hard work, no matter how experienced you are.  In this webinar we will walk through the essential steps and considerations for researchers who are running and building reproducible WGS mapping and variant calling pipelines at the command line interface. We will discuss how to choose and evaluate a pipeline that is right for your dataset and research questions, and how to get access to the compute resources you need 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. WGS mapping and variant calling _slides (PDF): 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/Q2EceFyizio Melissa Burke (melissa@biocommons.org.au) Genome mapping, Variant calling, Bioinformatics, Workflows
Role profiles for the Bureau's Stewardship Model

This presentation provides an overview of the approach being taken in the creation of a Data Stewardship framework that looks at the tools, guidance, skills and clarity of data stewardship roles at the Bureau of Meteorology. A major focus of the framework is the creation of role profiles which...

Keywords: role profiles, data stewardship, data governance, data management, skills, training, training material

Role profiles for the Bureau's Stewardship Model https://dresa.org.au/materials/role-profiles-for-the-bureau-s-stewardship-model-19ee77b4-d15e-42da-96b4-9e3056d1b3e7 This presentation provides an overview of the approach being taken in the creation of a Data Stewardship framework that looks at the tools, guidance, skills and clarity of data stewardship roles at the Bureau of Meteorology. A major focus of the framework is the creation of role profiles which provide the role description, assignment and key responsibilities. You can watch the YouTube video here: https://youtu.be/RLf6B-NIffU contact@ardc.edu.au role profiles, data stewardship, data governance, data management, skills, training, training material
Sharing Approaches to Implementing the Data Guide at Medical Research Institutes (MRIs) Workshop

Co-authored by the Australian Research Council (ARC), the National Health and Medical Research Council (NHMRC) and Universities Australia (UA), the Management of Data and Information in Research Guide contains guidance for institutions and researchers on how they can implement the new Code as it...

Keywords: Data management, ARC, NHMRC, research data, Research Data Guide, Funding, training material

Sharing Approaches to Implementing the Data Guide at Medical Research Institutes (MRIs) Workshop https://dresa.org.au/materials/sharing-approaches-to-implementing-the-data-guide-at-medical-research-institutes-mris-workshop-66fd5cb3-e161-44e2-aa96-514f195ab54d Co-authored by the Australian Research Council (ARC), the National Health and Medical Research Council (NHMRC) and Universities Australia (UA), the Management of Data and Information in Research Guide contains guidance for institutions and researchers on how they can implement the new Code as it relates to the subject of research data. This workshop included presentations and breakout discussions considering MRI approaches to data management practices in light of the Code and Guide.  This workshop was delivered as part of the Management of Data and Information in Research Guide Event.  The aims of the Event were to enable research offices within universities and Medical Research Institutes (MRIs) to have a clear and consistent understanding of the data management requirements and responsibilities as outlined in the Code and the Data Guide. contact@ardc.edu.au Data management, ARC, NHMRC, research data, Research Data Guide, Funding, training material