Adelaide Computational Biology Events

We are excited to announce an upcoming workshop that will bring a team of international researchers to Brisbane, Australia to teach a comprehensive line-up of comp bio topics. Dates are planned for 8th to 12th June 2026.Course OverviewThis intensive five-day workshop, derived from the NSF-funded program CompBio Asia (compbioasia.net), introduces participants to modern computational biology methods that integrate genomics, structural biology, molecular dynamics (MD), and artificial intelligence (AI). The program has been developed to expose researchers and graduate students to different branches of computational biology and to encourage them to apply these approaches to their research problems. Through lectures and hands-on sessions, participants gain practical experience in modeling, simulation, and machine learning approaches for biological data analysis and drug discovery.Learning ObjectivesBy the end of the course, participants will be able to:• Analyze protein sequence data• Perform protein structure modeling and visualization• Run and interpret molecular dynamics simulations• Apply AI and machine learning to biological problems• Use AlphaFold3 and docking tools for structure prediction• Predict protein–ligand interactions• Integrate genomics with structure and dynamics• Integrate experimental and computational approachesTarget Audience• Graduate students and postdoctoral researchers• Early-career scientists in bioinformatics and computational biology• Researchers transitioning into AI-driven life sciencesABACBS will be subsidising some of the costs to run this workshop. Stay tuned for EOIs and registration details that will be opening soon!

More Info: https://sisg.biosciences.gatech.edu/

Open to International Folks. Don't have to be US based.  But summer school is in person. 
SISG 2026 will be held at the Georgia Institute of Technology in ATLANTA from June 1st – June 12th, starting the week after Memorial Day. We are very pleased to announce a new round of funding for Graduate Student Fellowships from the National Science Foundation through 2030, and also remain extremely grateful to our corporate partner, the Regeneron Genetics Center, for their continuing support of SISG.  Please note that all modules will be in-person only! We do not offer hybrid teaching.Please visit the Courses link for a list of Courses for 2026 in Atlanta.Information about Atlanta and weekend offerings is also provided on the About tab. Starting in January 2026, anyone wishing to attend will be invited to follow three simple steps: choose your preferred classes, (ii) apply for admission, and (iii) register after acceptance. The Bruce Weir Summer Institute in Statistical Genetics (SISG) introduces geneticists to modern methods of statistical analysis and statisticians to the challenges posed by modern genetic data. The goal of SISG is to strengthen the statistical and genetic proficiency and career preparation of scholars from all backgrounds, especially those from groups historically underrepresented in STEM including low-income, first-generation college students, veterans, individuals with disabilities. 2026 SISG StreamsPopulations and Evolution: PE1 Population Genetics; PE2 Statistical Genetics; PE3 AI/ML for Genetics and Genomics; PE4 Molecular EvolutionIntegrative Genomics: IG1 Genetics, Genomics and Biobanks; IG2 Epigenetics and Gene Regulation; IG3 Single Cell Genomics, IG4 Pathways and NetworksQuantitative Genetics: QG1 Quantitative Genetics; QG2 Mixed Models; QG3 Association Mapping; QG4 Whole Genome Sequencing PipelineStatistics: ST1 Bayesian Statistics; ST2 Regression & Regularization; ST3 Forensic Statistics; ST4 Multivariate Analysis

More Info : https://www.colorado.edu/ibg/workshop-2026
The 2026 International Statistical Genetics Workshop will be a virtual course held online, with live sessions on June 1—11, 2026, and pre-recorded lectures to be viewed before the live sessions. Live sessions will meet Monday--Thursday each week. To accommodate different time zones, sessions will be held twice per day, with students registering for the track most convenient to them.This course will integrate material from both the Latent Genetics and Molecular Genetics traditions, emphasizing their synergy in understanding human complex traits.Course Information

• Registration now open
• Financial aid application Discounted registrations can be provided to students who demonstrate a financial need.
• Official Announcement

Timeline

• January 31, 2026—Registration will open
• Late May, 2026—Students will start watching pre-recorded lectures
• June, 2026—The live sessions will be held
  Daily subtopics are a preliminary schedule of what may be covered on each day, and may not be the final or complete list of subject matter.
  • June 1, Day 1: Background
    • Lead: Loïc Yengo
    • Topics: biometrical modeling; population genetics; data sources; ethics and historical context; simulations and PCA.
  • June 2, Day 2: Working with data
    • Lead: Elizabeth Prom-Wormley
    • Topics: assumptions, QC, imputation, PLINK and R basics, phenotype distributions, and transformations.
  • June 3, Day 3: Modeling genetic and environmental components
    • Leads: Hermine Maes and Sarah Medland
    • Topics: heritability, variance components, matrix approaches, IBD vs IBS, family and twin modeling.
  • June 4, Day 4: Genome wide association studies
    • Lead: Abdel Abdellaoui
    • Topics: PLINK, SAIGE, METAL, within-family GWAS, rGE and assortative mating, RAPs, interpretation.
  • June 8, Day 5: Prediction
    • Lead: Jian Zeng
    • Topics: prediction theory, ROC analysis, polygenic risk scores, SBayesRC, G×E applications.
  • June 9, Day 6: Multivariate Concepts
    • Lead: Andrew Grotzinger
    • Topics: genetic correlations, LD-score regression, Genomic SEM.
  • June 10, Day 7: Causation
    • Lead: David Evans
    • Topics: causal inference, Mendelian randomization (univariate and multivariate), longitudinal and family-based designs, genetic confounding.
  • June 11, Day 8: Biological Interpretation
    • Lead: Benjamin Neale
    • Topics: rare variants, fine mapping, TWAS, omics integration, cross-ancestry and AI-based prediction.

Session TimesBelow is a table showing the expected start times of the two live sessions. The focus of the A and B tracks will be identical, only the meeting times are different. Students will only participate in one session per day. It is expected live sessions will last 2-4 hours. Session A daily start timeSession B daily start timeTimezoneLos Angeles, USA06:0015:00PDTBoulder, USA07:0016:00MDTBoston, USA09:0018:00EDTSão Paulo, Brazil10:0019:00BRTCorresponding UTC13:0022:00UTCLondon, United Kingdom14:0023:00BSTAmsterdam, Netherlands15:0000:00 +1 dayCESTTel Aviv, Israel16:0001:00 +1 dayIDTKolkata, India18:3003:30 +1 dayISTBeijing, China21:0006:00 +1 dayCSTBrisbane, Australia23:0008:00 +1 dayAEST

R for Reproducible Scientific Analysis (Jun 2026) Online workshop delivered via Zoom. Full setup and connection details will be sent by email two working days before the course. Register here : https://events.humanitix.com/r-for-reproducible-scientific-analysis-jun-2026-drfkgm8b This Software Carpentry workshop introduces novice programmers to the R software environment: A powerful, popular and free statistical and graphical programming language. R and its array of third-party packages are commonly used in many scientific disciplines for statistical analysis. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis. This workshop will run over four consecutive mornings of Monday 8th June - Thursday 11th June, from 9:00 am to 1:00 pm each day. Please only register if you are able to fully commit to attending all four sessions. FAQs What should I bring into the event? This is an online workshop, so you will need to provide your own computer with R and RStudio pre-installed (instructions will be provided), and have access to a reliable internet connection sufficient for video conferencing. A second monitor is highly recommended. Chromebooks and tablets are not suitable for this workshop; you will need a full-function computer. What prior experience do I need? No specific experience is required, although previous use of the command line interface can be helpful. Who should attend? Researchers looking for more advanced or automated data analysis capabilities than basic spreadsheets. The workshop is relevant for all disciplines. How can I contact the organiser with any questions? You can email training@qcif.edu.au. What's the cancellation policy? Cancellations are accepted up to three working days before the start of the workshop. If you do not join on the day without having cancelled beforehand, you may be blocked from attending any future QCIF training workshops.

Workshop Description: Containers solve many common issues in developing and using research software. For example, they provide a very high level of reproducibility, they can be easily run across a large variety of computing environments, and they remove the need for an installation process. This workshop will cover the usage of the Docker command line to build and run research software using containers. The training material is available here. (https://wehi-education.github.io/docker-introduction/) Target Audience & Learning Objectives Researchers and software engineers who work with or develop research software. By the end of this training, participants will be able to:Understand what Docker containers are, why they are useful and common container terminology Learn how to interact with Docker via the command line interface Understand how to find and use existing Docker images for common tasks Be able to build your own Docker container using Dockerfiles Understand how to manage Docker containers on your local system Appreciate issues around reproducibility in software and how containers can address some of these issues. Prerequisites and Requirements This workshop does not require any previous experience. This is an in person hands-on workshop and attendees must bring their own computers (laptop chargers also recommended). No software needs to be installed for this workshop and no programming experience is necessary. The following is required:Access to internet via UniWireless or Eduroam Web browser (Firefox or Chrome recommended) Participants should register (https://usegalaxy.org.au/login) for a Galaxy Australia account using their institutional email address Important Policy Update: Starting 1 August 2025, participants who miss two or more workshops without proper notice (less than 48 hours or attending under 50%) within 12 months will be placed on a 6-month waitlist for full workshops. To avoid being marked as a no-show, cancellations must be made at least 24 hours in advance, with exceptions allowed for emergencies.Please read the full policy here: https://mbite.org/guides/policy/ (https://mbite.org/guides/policy/)

Register here : https://events.unimelb.edu.au/Melbourne_Bioinformatics/event/52365-reproducible-computing-environments-with-docker

R for Reproducible Scientific Analysis (Jun 2026) Online workshop delivered via Zoom. Full setup and connection details will be sent by email two working days before the course. Register here : https://events.humanitix.com/r-for-reproducible-scientific-analysis-jun-2026-drfkgm8b This Software Carpentry workshop introduces novice programmers to the R software environment: A powerful, popular and free statistical and graphical programming language. R and its array of third-party packages are commonly used in many scientific disciplines for statistical analysis. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis. This workshop will run over four consecutive mornings of Monday 8th June - Thursday 11th June, from 9:00 am to 1:00 pm each day. Please only register if you are able to fully commit to attending all four sessions. FAQs What should I bring into the event? This is an online workshop, so you will need to provide your own computer with R and RStudio pre-installed (instructions will be provided), and have access to a reliable internet connection sufficient for video conferencing. A second monitor is highly recommended. Chromebooks and tablets are not suitable for this workshop; you will need a full-function computer. What prior experience do I need? No specific experience is required, although previous use of the command line interface can be helpful. Who should attend? Researchers looking for more advanced or automated data analysis capabilities than basic spreadsheets. The workshop is relevant for all disciplines. How can I contact the organiser with any questions? You can email training@qcif.edu.au. What's the cancellation policy? Cancellations are accepted up to three working days before the start of the workshop. If you do not join on the day without having cancelled beforehand, you may be blocked from attending any future QCIF training workshops.

Agenda : https://docs.google.com/document/d/110h9CG8sUoNHPmIWsijojIeS278Jg--KKphv2WRTQzQ/edit?tab=t.0#heading=h.iaxu5w5ncg6eJoin Google Group : https://groups.google.com/a/biocommons.org.au/g/eDNAanalysis?pli=1All welcome! Join us for an informal, quarterly gathering to connect with researchers, scientists, and bioinformaticians working in the dynamic field of environmental DNA (eDNA).Next meeting: 10 June 2026 1 pm AEST / 12:30 pm ACST / 11 am AWSTNext Speaker:

• Dr. Joshua Koh, Office of the Supervising Scientist | Drone Ops & Tech Solutions at the Department of Climate Change, Energy, the Environment and Water
• Multimodal Machine Learning with eDNA for Ecosystem Biomonitoring

Join this meeting



What to ExpectThis meeting is your opportunity to:

• Hear about relevant projects, services, and resources in the eDNA landscape.
• Voice your specific requirements and challenges directly to the community.
• Connect and network with peers across the country.

Why We MeetThese regular meetings are held to:

• Bring the Australian eDNA community together to share knowledge and exchange ideas.
• Identify the needs of the community to better support eDNA research across Australia.

How to Get Involved

• View the Full Rolling Agenda for meeting information and discussion topics.
• Join the Google Group to receive regular updates and automatic community meeting invitations.

For more information, please contact communities@biocommons.org.au

• Tagged: 2026, eDNA

Register here : https://www.eventbrite.com.au/e/high-resolution-spatial-transcriptomics-of-the-tumour-microenvironment-tickets-1988539720835



Join us for this seminar on advances in spatial and computational methods to help unravel the complexity of tumour biology.

Date: June 10thTime: 3:30 – 5:00pmLocation: SAHMRI AuditoriumRefreshments and snacks provided
Catering Sponsor: AIM Discovery
Keynote Speaker:Dr Dharmesh D Bhuva is an NHMRC Emerging Leadership Fellow (EL1) at the Frazer Institute, University of Queensland, who is passionate about understanding how complex systems of gene regulation and signalling lead to organisation of healthy and diseased tissues. He completed his PhD in 2020 at the University of Melbourne and WEHI where he developed new systems biology approaches to study molecular function and gene regulation in cancer. He then undertook his post-doctoral studies at the world-renowned WEHI Bioinformatics division, where he embarked on developing novel approaches to study cancer tissues using spatial molecular data. In 2023, he joined the computational systems oncology division at the South Australian Immunogenomics Cancer Institute (SAiGENCI) to continue his cutting-edge research in developing computational approaches to study tissue architecture. Computational methods developed by Dr. Bhuva have been downloaded >240,000 times globally. Dr. Bhuva has been recently awarded a MRFF grant and a NHMRC investigator grant (EL1) to identify spatial biomarkers in cancer systems, particularly biomarkers of response to immunotherapies in NSCLC.
Second Speaker:Dr. Shani Amarasinghe is an EMCR and a bioinformatics scientist with over a decade of experience in computational biology. Since completing her PhD in plant transcriptomics at the University of Adelaide in 2018, she has built a strong track record at WEHI and Monash University, contributing to diverse projects spanning single-cell, long-read, spatial, and bulk transcriptomics.Her work has been widely recognised, with over 2,300 citations since 2018 and publications in leading journals including Nature Communications, Nature Methods and Genome Biology. Shani has developed widely used bioinformatics tools, including long-read-tools.org and ScPipe, an R/C++ framework for preprocessing single-cell genomic data as part of a major Chan Zuckerberg Initiative–funded project.Her research focuses on advancing transcriptomic technologies, including spatial transcriptomics, long-read isoform analysis and high-throughput CRISPR screening, and applying these approaches to complex biological systems in human and mouse models. She currently leads bioinformatics efforts across multiple collaborative projects within the Cancer and Stem Cell and Development programs within Monash Biomedicine Discovery Institute.

R for Reproducible Scientific Analysis (Jun 2026) Online workshop delivered via Zoom. Full setup and connection details will be sent by email two working days before the course. Register here : https://events.humanitix.com/r-for-reproducible-scientific-analysis-jun-2026-drfkgm8b This Software Carpentry workshop introduces novice programmers to the R software environment: A powerful, popular and free statistical and graphical programming language. R and its array of third-party packages are commonly used in many scientific disciplines for statistical analysis. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis. This workshop will run over four consecutive mornings of Monday 8th June - Thursday 11th June, from 9:00 am to 1:00 pm each day. Please only register if you are able to fully commit to attending all four sessions. FAQs What should I bring into the event? This is an online workshop, so you will need to provide your own computer with R and RStudio pre-installed (instructions will be provided), and have access to a reliable internet connection sufficient for video conferencing. A second monitor is highly recommended. Chromebooks and tablets are not suitable for this workshop; you will need a full-function computer. What prior experience do I need? No specific experience is required, although previous use of the command line interface can be helpful. Who should attend? Researchers looking for more advanced or automated data analysis capabilities than basic spreadsheets. The workshop is relevant for all disciplines. How can I contact the organiser with any questions? You can email training@qcif.edu.au. What's the cancellation policy? Cancellations are accepted up to three working days before the start of the workshop. If you do not join on the day without having cancelled beforehand, you may be blocked from attending any future QCIF training workshops.

Professor Rachel Burton, School of Agriculture, Food and Wine, Adelaide University   Date: Thursday, 11 Jun; 10-11 am – SARDI PRC Auditorium Title: The trials and tribulations of new crop establishment Abstract: TBA Bio: My expertise is in the areas of plant molecular biology and plant functional genomics, particularly as it relates to cell wall biosynthesis, re-modeling and degradation and the impact these biological processes have on end use quality of cereals and biomass. Research in this area is mainly focused on barley as we have access to an excellent genetic transformation system and extensive genetic resources but we are now developing resources in other cereals and Plantago species. The gene families I have a particular interest in include the cellulose synthases, the mixed link beta-glucan synthases and the xylan synthases. Cellulose content is likely to have an impact on plant strength and is of central importance in the use of plants as a feedstock for biofuel production, whilst mixed-link glucans and arabinoxylans have major human health benefits and also crucially impact digestibility of animal feed and steps in brewing and baking processes. I also have an interest in the development and application of novel experimental methods for transcript profiling and gene discovery in plants.   https://adelaide.zoom.us/j/88324941961?pwd=iBEvCU8wU2bKbEa3JaDzLIDGOZtEkj.1 Webinar ID: 883 2494 1961, Passcode:429141   Followed by morning tea