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://labs.ala.org.au/
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
WORKSHOP: Variant calling in humans, animals and plants with Galaxy
This record includes training materials associated with the Australian BioCommons workshop ‘Variant calling in humans, animals and plants with Galaxy’. This workshop took place on 25 May 2021.
Variant calling in polyploid organisms, including humans, plants and animals, can help determine single...
Keywords: Variant calling, Genetic Variation Analysis, SNP annotation
WORKSHOP: Variant calling in humans, animals and plants with Galaxy
https://zenodo.org/records/5076668
https://dresa.org.au/materials/workshop-variant-calling-in-humans-animals-and-plants-with-galaxy-767f1816-1c06-478c-adf4-90b3b2d32a9c
This record includes training materials associated with the Australian BioCommons workshop ‘Variant calling in humans, animals and plants with Galaxy’. This workshop took place on 25 May 2021.
Variant calling in polyploid organisms, including humans, plants and animals, can help determine single or multi-variant contributors to a phenotype. Further, sexual reproduction (as compared to asexual) combines variants in a novel manner; this can be used to determine previously unknown variant - phenotype combinations but also to track lineage and lineage associated traits (GWAS studies), that all rely on highly accurate variant calling. The ability to confidently call variants in polyploid organisms is highly dependent on the balance between the frequency of variant observations against the background of non-variant observations, and even further compounded when one considers multi-variant positions within the genome. These are some of the challenges that will be explored in the workshop.
In this online workshop we focused on the tools and workflows available for variant calling in polyploid organisms in Galaxy Australia. The workshop provided opportunities for hands-on experience using Freebayes for variant calling and SnpEff and GEMINI for variant annotation. The workshop made use of data from a case study on diagnosing a genetic disease however the tools and workflows are equally applicable to other polyploid organisms and biological questions.
Access to all of the tools covered in this workshop was via Galaxy Australia, an online platform for biological research that allows people to use computational data analysis tools and workflows without the need for programming experience.
The materials are shared under a Creative Commons 4.0 International agreement unless otherwise specified and were current at the time of the event.
Files and materials included in this record:
Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file.
Schedule (PDF): schedule for the workshop
Variant calling - humans, animals, plants - slides (PPTX and PDF): slides used in the workshop
Materials shared elsewhere:
The tutorial used in this workshop is available via the Galaxy Training Network.
Wolfgang Maier, Bérénice Batut, Torsten Houwaart, Anika Erxleben, Björn Grüning, 2021 Exome sequencing data analysis for diagnosing a genetic disease (Galaxy Training Materials). https://training.galaxyproject.org/training-material/topics/variant-analysis/tutorials/exome-seq/tutorial.html Online; accessed 25 May 2021
Melissa Burke (melissa@biocommons.org.au)
Price, Gareth (orcid: 0000-0003-2439-8650)
Variant calling, Genetic Variation Analysis, SNP annotation
WEBINAR: 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://zenodo.org/records/7425920
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)
Baker, Naomi
Vissers, Joep (orcid: 0000-0003-0435-6824)
Nisselle, Amy (orcid: 0000-0002-8908-5906)
Clinical genomics, Variant interpretation, Variant curation, Continuing Professional Development, Professional Development, Bioinformatics, Genomics, Variant calling
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://zenodo.org/records/7024058
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)
Samaha, Georgina (orcid: 0000-0003-0419-1476)
Genome mapping, Variant calling, Bioinformatics, Workflows
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://zenodo.org/records/6766951
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)
Freytag, Saskia (orcid: 0000-0002-2185-7068)
Barugahare, Adele (orcid: 0000-0002-8976-0094)
Doyle, Maria
Ansell, Brendan (orcid: 0000-0003-0297-897X)
Varshney, Akriti
Bourke, Caitlin (orcid: 0000-0002-4466-6563)
Conradsen, Cara (orcid: 0000-0001-9797-3412)
Jung, Chol-Hee (orcid: 0000-0002-2992-3162)
Sandoval, Claudia
Chandrananda, Dineika (orcid: 0000-0002-8834-9500)
Zhang, Eden (orcid: 0000-0003-0294-3734)
Rosello, Fernando (orcid: 0000-0003-3885-8777)
Iacono, Giulia (orcid: 0000-0002-1527-0754)
Tarasova, Ilariya (orcid: 0000-0002-0895-9385)
Chung, Jessica (orcid: 0000-0002-0627-0955)
Moffet, Joel
Gustafsson, Johan (orcid: 0000-0002-2977-5032)
Ding, Ke
Feher, Kristen
Perlaza-Jimenez, Laura (orcid: 0000-0002-8511-1134)
Crowe, Mark (orcid: 0000-0002-9514-2487)
Ma, Mengyao
Kandhari, Nitika (orcid: 0000-0002-0261-727X)
Williams, Sarah
Nelson, Tiffanie (orcid: 0000-0002-5341-312X)
Schreiber, Veronika (orcid: 0000-0001-6088-7828)
Pinzon Perez, William
Bioinformatics, Analysis, Statistics, R software, RStudio, Data visualisation
Heurist Tutorials
A set of video tutorials with accompanying walkthroughs for building your first Heurist database and website. The first three tutorials show you how to get started in Heurist. The five subsequent tutorials introduce you to the five main menus in the Heurist interface.
Keywords: Heurist, Data management, Data visualisation, Digital Humanities, Databasing, website
Resource type: tutorial
Heurist Tutorials
https://heuristnetwork.org/tutorials
https://dresa.org.au/materials/heurist-tutorials
A set of video tutorials with accompanying walkthroughs for building your first Heurist database and website. The first three tutorials show you how to get started in Heurist. The five subsequent tutorials introduce you to the five main menus in the Heurist interface.
michael.falk@sydney.edu.au
Falk, Michael
Johnson, Ian
Osmakov, Artem
Heurist, Data management, Data visualisation, Digital Humanities, Databasing, website
mbr
phd
ecr
researcher
support