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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://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) 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://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) 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://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) 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://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) 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://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) 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://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) Bioinformatics, Analysis, Fungi, Genome assembly, Genome annotation
ARDC Digital Research Capabilities and Skills Framework: The Framework and Its Components

The ARDC's Digital Research Capabilities and Skills Framework, released in 2022, provides a structure for training programs to develop essential and advanced digital research skills. It aims to help researchers and professionals identify the necessary skills they need to leverage emerging...

Keywords: training material, skills framework, ARDC skills framework, ARDC capabilities framework, national skills framework, learning path, role profile, capabilities, FAIR implementation, skills, data management, research software, data governance, digital research infrastructure

ARDC Digital Research Capabilities and Skills Framework: The Framework and Its Components https://dresa.org.au/materials/ardc-digital-research-capabilities-and-skills-framework-the-framework-and-its-components The ARDC's Digital Research Capabilities and Skills Framework, released in 2022, provides a structure for training programs to develop essential and advanced digital research skills. It aims to help researchers and professionals identify the necessary skills they need to leverage emerging opportunities in data management, data analysis, data linking, AI, and machine learning. The framework aligns with technological advancements and encourages ongoing discussion and contributions to evolve the coverage of digital research skills. The framework focuses on digital research skills, excluding broader professional skills, and is intended for a wide range of stakeholders. It provides a structured approach for project teams and organisations to develop and enhance their digital research skills through six main components: a skills taxonomy, a skills glossary, a list of generalised roles, roles and skills-related profiles, learning paths, and a skills and roles matrix. The skills taxonomy classifies digital research skills into four capability families: Governance, Data, Software, and Digital Research Infrastructure Management. It provides a standard terminology for identifying and describing these skills. contact@ardc.edu.au Russell, Keith (type: Editor) Wong, Adeline (type: Editor) Lyrtzis, Ellen (type: Editor) training material, skills framework, ARDC skills framework, ARDC capabilities framework, national skills framework, learning path, role profile, capabilities, FAIR implementation, skills, data management, research software, data governance, digital research infrastructure
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://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) Bioinformatics, Enrichment analysis
Ten Simple Rules for Researchers: Upskilling for a Rapidly Evolving Workforce

The following recommendations were inspired by the Australian Research Data Commons (ARDC) Digital Research Skills Summit 2023, that brought together Researchers, Learning Designers, Skills Trainers, and Librarians in productive discussions on how to run effective researcher skills training....

Keywords: Training, Training Material, Short Format Training, Digital Skills, Researcher Training, Learning

Ten Simple Rules for Researchers: Upskilling for a Rapidly Evolving Workforce https://dresa.org.au/materials/ten-simple-rules-for-researchers-upskilling-for-a-rapidly-evolving-workforce The following recommendations were inspired by the Australian Research Data Commons (ARDC) Digital Research Skills Summit 2023, that brought together Researchers, Learning Designers, Skills Trainers, and Librarians in productive discussions on how to run effective researcher skills training. These rules outline how to think about skills learning for researchers, plan training sessions, and efficiently maximize learning. We offer recommendations on how to design and develop learner-centered training programs (Rules 1 and 2), foster outreach, and connect with trainer communities (Rules 3 and 4). We then provide tips to manage and optimize training (Rules 5, 6, and 7), and conclude with valuable insights on preparing for uncertainty and the importance of post-training operations and continued learning (Rules 8, 9, and 10). contact@ardc.edu.au Training, Training Material, Short Format Training, Digital Skills, Researcher Training, Learning
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://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) Bioinformatics, Data analysis, Galaxy
ARDC Research Software Rights Management Guide

How researchers may license their research software in order to share it with others.

It addresses the types of open‑source licences, and considerations you (as a researcher) should have in deciding which licence to adopt for sharing.

Keywords: Software citation, Software licensing, Software, research software, licence, License, training material

ARDC Research Software Rights Management Guide https://dresa.org.au/materials/ardc-research-software-rights-management-guide How researchers may license their research software in order to share it with others. It addresses the types of open‑source licences, and considerations you (as a researcher) should have in deciding which licence to adopt for sharing. contact@ardc.edu.au Laughlin, Greg (type: Editor) Appleyard, Baden (type: Editor) Martinez, Paula Andrea (type: ProjectLeader) Software citation, Software licensing, Software, research software, licence, License, training material
ARDC Research Data Rights Management Guide

A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data.

Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights...

Keywords: data, rights, management, licence, licensing, research, policy, guide, training material

ARDC Research Data Rights Management Guide https://dresa.org.au/materials/ardc-research-data-rights-management-guide A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data. Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights holders users and suppliers. Some general reference is made to characteristics and management of government data, acknowledging that this kind of data can be input to the research process. Government readers should consult their agency’s data management policies, in addition to reading this guide. contact@ardc.edu.au Laughlin, Greg (type: Editor) Appleyard, Baden (type: Editor) data, rights, management, licence, licensing, research, policy, guide, training material
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://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) Bioinformatics, Genomics
7 Steps towards Reproducible Research

This workshop aims to take you further down your reproducibility path, by providing concepts and tools you can use in your everyday workflows. It is discipline and experience agnostic, and no coding experience is needed.

We will also examine how Reproducible Research builds business continuity...

Keywords: reproducibility, Reproducibility, reproducible workflows

Resource type: full-course, tutorial

7 Steps towards Reproducible Research https://dresa.org.au/materials/7-steps-towards-reproducible-research This workshop aims to take you further down your reproducibility path, by providing concepts and tools you can use in your everyday workflows. It is discipline and experience agnostic, and no coding experience is needed. We will also examine how Reproducible Research builds business continuity into your research group, how the culture in your institute ecosystem can affect Reproducibility and how you can identify and address risks to your knowledge. The workshop can be used as self-paced or as an instructor Amanda Miotto - a.miotto@griffith.edu.au reproducibility, Reproducibility, reproducible workflows phd support
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://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) Bioinformatics
ALA Labs

ALA Labs provides resources and articles from the Atlas of Living Australia's Science and Decision Support team. On the website, you can find:

  • Posts: Code, articles, analyses and visualisations that will hopefully help you in your own work
  • Research: Highlighted summaries of scientific...

Keywords: Ecology, R, Python, Rstats, Biodiversity data, Open science, Reproducibility, Coding, Data cleaning, Data visualisation, Species Distribution Modelling, Beginner R coding

ALA Labs https://dresa.org.au/materials/ala-labs ALA Labs provides resources and articles from the Atlas of Living Australia's Science and Decision Support team. On the website, you can find: - Posts: Code, articles, analyses and visualisations that will hopefully help you in your own work - Research: Highlighted summaries of scientific research that has used data from the Atlas of Living Australia - Software: R & Python packages that the Science & Decision Support team manage - Books: Long-form resources with best-practice data wrangling and visualisation - Gallery: Showcasing external work that uses tools from ALA Labs Atlas of Living Australia support@ala.org.au Ecology, R, Python, Rstats, Biodiversity data, Open science, Reproducibility, Coding, Data cleaning, Data visualisation, Species Distribution Modelling, Beginner R coding
Secondary use of clinical trials data in health research: A Practical Guide

This document presents a theoretical framework for the use of clinical trials and other health data for secondary research purposes, which was derived from research papers, consultation with stakeholders and the research community.  Four overall scenarios for data reuse were identified; scenario...

Keywords: Secondary Data Use, Clinical Trials, Training Material, HeSANDA, Health Data Australia, HDA

Secondary use of clinical trials data in health research: A Practical Guide https://dresa.org.au/materials/secondary-use-of-clinical-trials-data-in-health-research-a-practical-guide This document presents a theoretical framework for the use of clinical trials and other health data for secondary research purposes, which was derived from research papers, consultation with stakeholders and the research community.  Four overall scenarios for data reuse were identified; scenario 1: evidence synthesis, scenario 2: secondary analyses, scenario 3: reproducibility, replication and validation, and scenario 4: education and methods development. contact@ardc.edu.au Secondary Data Use, Clinical Trials, Training Material, HeSANDA, Health Data Australia, HDA
Geophysical Research Data Processing and Modelling for 2030 Computation

The Cross-NCRIS National Data Assets program co-funded the ‘Geophysics 2030: Building a National High-Resolution Geophysics Reference Collection for 2030 Computation’ (Geophysics2030) project. At completion, Geophysics2030 i) trialled publishing vertically integrated geophysical datasets, making...

Keywords: Geophysics, Applied mathematics, Physical sciences, Computer and information sciences

Resource type: presentation

Geophysical Research Data Processing and Modelling for 2030 Computation https://dresa.org.au/materials/geophysical-research-data-processing-and-modelling-for-2030-computation The Cross-NCRIS National Data Assets program co-funded the ‘Geophysics 2030: Building a National High-Resolution Geophysics Reference Collection for 2030 Computation’ (Geophysics2030) project. At completion, Geophysics2030 i) trialled publishing vertically integrated geophysical datasets, making both raw datasets and successive levels of derivative data products available online in a new international self-describing data standard (first published in 2022); ii) co-located these datasets/data products with HPC computing resources required to process datasets at scale; and iii) developed new community software and environments allowing researchers to exploit the new data sets at high-resolution on a continental-scale. This ARDC, AuScope, NCI and TERN-funded project created new high-performance dataset and introduced a new, world-leading community platform that allows researchers to combine high-performance computing, high-resolution datasets, and flexible software workflows. The world-leading innovation was evidenced by new projects in collaboration with leading international researchers, including Jared Peacock, the United States Geological Survey-based leader of the new standards for Magnetotelluric (MT) data and Karl Kappler, DIAS Geophysics, who leads the development of ‘Aurora’, a National Science Foundation (USA) funded open-source software package for processing MT data using the new MTH5 standards. This Community Connect project, in partnership with NCI and AuScope, proposed to develop, deliver, and distribute a 2-day ‘Geophysical Research Data Processing and Modelling for 2030 Computation’ workshop in 2023. The training packages will consist of two parts, i) the utilisation of NCI for Geophysics processing and modelling, and ii) developing workflows for coupling Geophysical software, compute environments and datasets. Through previous engagement with the Geophysics community, we knew users of the 2030 Geophysics Collection were experts in their fields of geophysics data acquisition, processing and modelling. The community had high levels of computer literacy and deep technical skills in geophysics and research expertise. The workshop was targeted to support this advanced community and facilitate the usage of large co-located datasets and high-performance computing at the NCI HPC/cloud platform. rebecca@auscope.org.au Geophysics, Applied mathematics, Physical sciences, Computer and information sciences
Sharing a Trove List as a CollectionBuilder exhibition

You’ve been collecting and annotating items relating to your research project in a Trove List. You’d like to display the contents of your list as an online exhibition for others to explore. CollectionBuilder creates online exhibitions using static web...

Keywords: Trove, Trove List, CollectionBuilder, collection, GLAM Workbench, exhibition, HASS

Resource type: tutorial

Sharing a Trove List as a CollectionBuilder exhibition https://dresa.org.au/materials/sharing-a-trove-list-as-a-collectionbuilder-exhibition You’ve been collecting and annotating items relating to your research project in a Trove List. You’d like to display the contents of your list as an online exhibition for others to explore. [CollectionBuilder](https://collectionbuilder.github.io/) creates online exhibitions using static web technologies. But how do you get your List data from Trove into CollectionBuilder? This tutorial from the Trove Data Guide walks through the complete process step-by-step. Tim Sherratt (tim@timsherratt.au) ARDC Community Data Lab Trove, Trove List, CollectionBuilder, collection, GLAM Workbench, exhibition, HASS
Create a layer in the Gazetteer of Historical Australian Placenames using metadata from Trove’s digitised maps

Trove includes thousands of digitised maps, created and published across the last few centuries. You want to create a collection of maps relating to your area of interest and explore it using the Gazetteer of Historical Australian Placenames (GHAP). You know it’s possible to add layers to GHAP,...

Keywords: Trove, maps, Gazetteer of Historical Australian Placenames (GHAP), GLAM Workbench, geospatial, HASS

Resource type: tutorial

Create a layer in the Gazetteer of Historical Australian Placenames using metadata from Trove’s digitised maps https://dresa.org.au/materials/create-a-layer-in-the-gazetteer-of-historical-australian-placenames-using-metadata-from-trove-s-digitised-maps Trove includes thousands of digitised maps, created and published across the last few centuries. You want to create a collection of maps relating to your area of interest and explore it using the Gazetteer of Historical Australian Placenames (GHAP). You know it’s possible to add layers to GHAP, but how do you get the data from Trove in a format that can be uploaded as a layer? This tutorial from the Trove Data Guide walks through the complete process step-by-step. Tim Sherratt (tim@timsherratt.au) ARDC Community Data Lab Trove, maps, Gazetteer of Historical Australian Placenames (GHAP), GLAM Workbench, geospatial, HASS
Comparing manuscript collections from Trove in Mirador

You want to compare the contents of two digitised manuscript collections and examine individual documents side-by-side. The Mirador viewer can be configured as a flexible, research workspace that displays multiple images from different sources, but how do you get...

Keywords: Trove, images, manuscripts, GLAM Workbench, IIIF, HASS, Mirador

Resource type: tutorial

Comparing manuscript collections from Trove in Mirador https://dresa.org.au/materials/comparing-manuscript-collections-in-mirador You want to compare the contents of two digitised manuscript collections and examine individual documents side-by-side. The [Mirador viewer](https://projectmirador.org/) can be configured as a flexible, research workspace that displays multiple images from different sources, but how do you get manuscript collections from Trove to Mirador? This tutorial from the Trove Data Guide walks through the complete process step-by-step. Tim Sherratt (tim@timsherratt.au) ARDC Community Data Lab Trove, images, manuscripts, GLAM Workbench, IIIF, HASS, Mirador
Working with a Trove collection in Tropy

You want to be able to work on a collection of digitised images from Trove on your desktop – adding notes, transcriptions, and annotations. Tropy is a useful tool for managing collections of research images, but how do you import a collection of images from Trove into...

Keywords: Trove, images, Tropy, IIIF, GLAM Workbench, HASS

Resource type: tutorial

Working with a Trove collection in Tropy https://dresa.org.au/materials/working-with-a-trove-collection-in-tropy You want to be able to work on a collection of digitised images from Trove on your desktop – adding notes, transcriptions, and annotations. [Tropy](https://tropy.org/) is a useful tool for managing collections of research images, but how do you import a collection of images from Trove into Tropy? This tutorial from the [Trove Data Guide](https://tdg.glam-workbench.net/home.html) walks through the complete process step-by-step. Tim Sherratt (tim@timsherratt.au) ARDC Community Data Lab Trove, images, Tropy, IIIF, GLAM Workbench, HASS
Analysing keywords in Trove’s digitised newspapers

You want to explore differences in language use across a collection of digitised newspaper articles. The Australian Text Analytics Platform provides a Keywords Analysis tool that helps you...

Keywords: text analysis, Australian Text Analytics Platform (ATAP), Trove, GLAM Workbench, Trove Newspaper and Gazette Harvester, newspapers, HASS

Resource type: tutorial

Analysing keywords in Trove’s digitised newspapers https://dresa.org.au/materials/analysing-keywords-in-trove-s-digitised-newspapers You want to explore differences in language use across a collection of digitised newspaper articles. The [Australian Text Analytics Platform](https://www.atap.edu.au/) provides a [Keywords Analysis tool](https://github.com/Australian-Text-Analytics-Platform/keywords-analysis) that helps you examine whether particular words are over or under-represented across collections of text. But how do get data from Trove’s newspapers to the keyword analysis tool? This tutorial from the [Trove Data Guide](https://tdg.glam-workbench.net/home.html) walks through the complete process step-by-step. Tim Sherratt (tim@timsherratt.au) ARDC Community Data Lab text analysis, Australian Text Analytics Platform (ATAP), Trove, GLAM Workbench, Trove Newspaper and Gazette Harvester, newspapers, HASS
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://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) Bioinformatics, Machine Learning, Artificial Intelligence, ChatGPT
Wildlife Insights training videos

A series of videos that provide tutorials on use of the Wildlife Insights camera trap data platform, and how to manage camera trap data in the platform

Keywords: wildlife, Camera traps, Monitoring, monitoring data management, Ecology

Wildlife Insights training videos https://dresa.org.au/materials/wildlife-insights-training-videos A series of videos that provide tutorials on use of the Wildlife Insights camera trap data platform, and how to manage camera trap data in the platform https://groups.google.com/u/0/g/wildlifeinsights?pli=1 wildlife, Camera traps, Monitoring, monitoring data management, Ecology
HeSANDA & Health Data Australia FAQ

This document provides answers to common questions about the Health Studies Australian National Data Asset (HeSANDA), and the Health Data Australia (HDA), including the usage of the health data platform, sharing, contributing and accessing clinital trails data, governance, and potential risks. 

Keywords: HeSANDA, Frequently asked Questions, Health Data Australia, training material

HeSANDA & Health Data Australia FAQ https://dresa.org.au/materials/hesanda-health-data-australia-faq This document provides answers to common questions about the Health Studies Australian National Data Asset (HeSANDA), and the Health Data Australia (HDA), including the usage of the health data platform, sharing, contributing and accessing clinital trails data, governance, and potential risks.  contact@ardc.edu.au Australian Research Data Commons (type: Editor) Australian Clinical Trials Alliance (type: Editor) Melbourne Academic Centre for Health (type: Editor) Mental Health Node (type: Editor) The Queensland Node (type: Editor) Sydney Health Partners Node (type: Editor) Western Australia Node (type: Editor) Monash University and Monash Partners Node (type: Editor) Health Translation South Australia (type: Editor) National Cancer Cooperative Trials Groups (type: Editor) Northern Australia Node (type: Editor) HeSANDA, Frequently asked Questions, Health Data Australia, training material
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://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) 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://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) 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://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) 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://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) Bioinformatics, Omics, Multiomics, Multi-omics, Data integration