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  • Keeping Archives Online Learning Series

    1 July 2016 - 31 December 2025

    Keeping Archives Online Learning Series https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping

  • Introductory Statistics Online

    2 October - 10 November 2023

    Introductory Statistics Online https://dresa.org.au/events/introductory-statistics-online This six week online course introduces students to the basics of applied statistics used in disciplines including psychology, biology, medicine, health, engineering, business, sociology and the arts. The three main areas of study are descriptive statistics, probability distributions and statistical inference. The SPSS statistical computing package is an integral part of the course. 2023-10-02 09:00:00 UTC 2023-11-10 17:00:00 UTC La Trobe University Statistics Consultancy Platform La Trobe University, Kingsbury Drive, Bundoora, Australia La Trobe University, Kingsbury Drive Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 30 workshop open_to_all StatisticsFundamentals of Statistics SPSS

  • Basic Statistics with Stata (hybrid)

    9 - 10 November 2023

    Bundoora, Australia

    Basic Statistics with Stata (hybrid) https://dresa.org.au/events/basic-statistics-with-stata-hybrid WHAT IS STATA? Stata is a statistical software package which is particularly popular among researchers from a diverse range of fields. BASIC STATISTICS WITH STATA introduces statistical concepts in a non-technical way and emphasises their practical application in Stata. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-11-09 09:00:00 UTC 2023-11-10 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2 building, room 330 or online via Zoom, Bundoora, Australia Physical sciences 2 building, room 330 or online via Zoom Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 20 workshop open_to_all STATAStatistics

  • Introduction to Machine Learning in Bioinformatics

    12 - 15 November 2023

    Woolloongabba, Australia

    Introduction to Machine Learning in Bioinformatics https://dresa.org.au/events/introduction-to-machine-learning-in-bioinformatics **This workshop is jointly hosted by [Sonika Tyagi Lab](https://bioinformaticslab.erc.monash.edu/), [COMBINE](combine.org.au) and [Australian BioCommons](https://www.biocommons.org.au/).** Abstract: ​​DNA is the blueprint defining all living organisms. Therefore, understanding the nature and function of DNA is at the core of all biological studies. Rapid advances in DNA sequencing and computing technologies over the past few decades resulted in large quantities of DNA generated for diverse experiments, exceeding the growth of all major social media platforms and astronomy data combined [1]. However, biological data is both complex and high-dimensional, and is difficult to analyse with conventional methods. Machine learning is naturally well suited to problems with a large volume of data and complexity [2]. In particular, applying Natural Language Processing to the genome is intuitive, since DNA is a natural language. Unique challenges exist in Genome-NLP over natural languages, including the difficulty of word segmentation or corpus comparison. To tackle these challenges, we developed the first automated and open-source genomeNLP workflow that enables efficient and accurate knowledge extraction on biological data [1], automating and abstracting preprocessing steps unique to biology. This lowers the barrier to perform knowledge extraction by both machine learning practitioners and computational biologists. In this tutorial, we will demonstrate how our workflow can be used to address the above challenges, with implications in fields such as personalised medicine [3-4]. [1] [preprint] Chen, T., Tyagi, N., Chauhan, S., Peleg, A.Y. and Tyagi, S., 2023. genomicBERT and data-free deep-learning model evaluation. bioRxiv, pp.2023-05. [https://doi.org/10.1101/2023.05.31.542682](https://doi.org/10.1101/2023.05.31.542682) (This article is a preprint and has not been certified by peer review) [2] Chen, T., Tyagi, S. Integrative computational epigenomics to build data-driven gene regulation hypotheses, GigaScience, Volume 9, Issue 6, June 2020, giaa064, [https://doi.org/10.1093/gigascience/giaa064](https://doi.org/10.1093/gigascience/giaa064) [3] Chen, T., Philip, M., Lê Cao, K-A., Tyagi, S. A multi-modal data harmonisation approach for discovery of COVID-19 drug targets, Briefings in Bioinformatics, Volume 22, Issue 6, November 2021, bbab185, [https://doi.org/10.1093/bib/bbab185](https://doi.org/10.1093/bib/bbab185) [4] Mu, A., Klare, W.P., Baines, S.L. et al. Integrative omics identifies conserved and pathogen-specific responses of sepsis-causing bacteria. Nat Commun 14, 1530 (2023). [https://doi.org/10.1038/s41467-023-37200-w](https://doi.org/10.1038/s41467-023-37200-w) 2023-11-12 09:00:00 UTC 2023-11-15 17:00:00 UTC 22nd International Conference on Bioinformatics (InCoB 2023) Translational Research Institute, 37 Kent Street, Woolloongabba, Australia Translational Research Institute, 37 Kent Street Woolloongabba Australia 4102 Translational Research InstituteQueensland University of TechnologyAsia Pacific Bioinformatics Network tyrone.chen@monash.edu, sonika.tyagi@rmit.edu.au, christina.hall@biocommons.org.au, melissa.burke@biocommons.org.au, combine@combine.org.au [] bioinformaticiansLife scientistsData scientists 40 workshopconference by_invitation Deep learningMachine learningNatural language processingBioinformaticsComputational Biology

  • Basic Statistics with R (hybrid)

    13 - 14 November 2023

    Bundoora, Australia

    Basic Statistics with R (hybrid) https://dresa.org.au/events/basic-statistics-with-r-hybrid BASIC STATISTICS WITH R introduces statistical concepts in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-11-13 09:00:00 UTC 2023-11-14 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2 Room 330 or Zoom. , Bundoora, Australia Physical sciences 2 Room 330 or Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researcherresearch students 20 workshop open_to_all StatisticsR statistical software

  • Sample Size Calculation Workshop (hybrid)

    15 November 2023

    Bundoora, Australia

    Sample Size Calculation Workshop (hybrid) https://dresa.org.au/events/sample-size-calculation-workshop-hybrid WHAT IS G*POWER? G*Power is a free statistical software package for power and sample size analysis. It offers point-and-click functionality and covers a wide variety of statistical tests. In this 1-day workshop, concepts of statistical power and relevant statistical tests are covered in a non-technical way. Designed to be hands-on, the workshop focuses on the practical application of statistical methods. There will be plenty of opportunities to access in-class support. 2023-11-15 09:00:00 UTC 2023-11-15 15:00:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Room 330 (Kurt Gödel Lab), or online via Zoom., Bundoora, Australia Physical sciences 2, Room 330 (Kurt Gödel Lab), or online via Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 20 workshop open_to_all G*PowerStatisticssample size calculation

  • ResBaz Queensland 2023

    21 - 23 November 2023

    Saint Lucia, Australia

    ResBaz Queensland 2023 https://dresa.org.au/events/resbaz-queensland-2023 The 2023 Queensland Research Bazaar will be a three-day intensive conference where researchers will come together to up-skill in 'next generation digital research tools and skills', hear high-profile keynote speakers, join in networking and career development activities, and connect with their peers from across the SE Qld area. ResBaz is a highly participatory event where researchers from many different disciplines can learn, share knowledge and skills, and have fun! 2023-11-21 09:00:00 UTC 2023-11-23 17:00:00 UTC QCIF Michie Building (9), 9 Chancellors Place, The University of Queensland, Saint Lucia, Australia Michie Building (9), 9 Chancellors Place, The University of Queensland Saint Lucia Australia 4072 QCIFthe University of Queensland resbaz@qcif.edu.au [] HDR studentsPhD studentsECRsAll researchersProfessional/support staff LibrariansData custodians 500 workshopconferencemeeting open_to_all data sciencedigital skillsdata managementcareer development

  • Intermediate Statistics with R: Regression Analysis (hybrid)

    23 - 24 November 2023

    Bundoora, Australia

    Intermediate Statistics with R: Regression Analysis (hybrid) https://dresa.org.au/events/intermediate-statistics-with-r-regression-analysis-hybrid INTERMEDIATE STATISTICS WITH R introduces various types of regression models in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-11-23 09:00:00 UTC 2023-11-24 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Kurt Gödel Laboratory, room 330, or online via Zoom., Bundoora, Australia Physical sciences 2, Kurt Gödel Laboratory, room 330, or online via Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop open_to_all R statistical softwareStatistics

  • Decoding the grammar of DNA using Natural Language Processing

    5 - 7 December 2023

    Pensacola, United States of America

    Decoding the grammar of DNA using Natural Language Processing https://dresa.org.au/events/decoding-the-grammar-of-dna-using-natural-language-processing **This workshop is jointly hosted by [Sonika Tyagi Lab](https://bioinformaticslab.erc.monash.edu/), and [Australian BioCommons](https://www.biocommons.org.au/).** Abstract: ​​DNA is the blueprint defining all living organisms. Therefore, understanding the nature and function of DNA is at the core of all biological studies. Rapid advances in DNA sequencing and computing technologies over the past few decades resulted in large quantities of DNA generated for diverse experiments, exceeding the growth of all major social media platforms and astronomy data combined [1]. However, biological data is both complex and high-dimensional, and is difficult to analyse with conventional methods. Machine learning is naturally well suited to problems with a large volume of data and complexity [2]. In particular, applying Natural Language Processing to the genome is intuitive, since DNA is a natural language. Unique challenges exist in Genome-NLP over natural languages, including the difficulty of word segmentation or corpus comparison. To tackle these challenges, we developed the first automated and open-source genomeNLP workflow that enables efficient and accurate knowledge extraction on biological data [1], automating and abstracting preprocessing steps unique to biology. This lowers the barrier to perform knowledge extraction by both machine learning practitioners and computational biologists. In this tutorial, we will demonstrate how our workflow can be used to address the above challenges, with implications in fields such as personalised medicine [3-4]. [1] [preprint] Chen, T., Tyagi, N., Chauhan, S., Peleg, A.Y. and Tyagi, S., 2023. genomicBERT and data-free deep-learning model evaluation. bioRxiv, pp.2023-05. [https://doi.org/10.1101/2023.05.31.542682](https://doi.org/10.1101/2023.05.31.542682) (This article is a preprint and has not been certified by peer review) [2] Chen, T., Tyagi, S. Integrative computational epigenomics to build data-driven gene regulation hypotheses, GigaScience, Volume 9, Issue 6, June 2020, giaa064, [https://doi.org/10.1093/gigascience/giaa064](https://doi.org/10.1093/gigascience/giaa064) [3] Chen, T., Philip, M., Lê Cao, K-A., Tyagi, S. A multi-modal data harmonisation approach for discovery of COVID-19 drug targets, Briefings in Bioinformatics, Volume 22, Issue 6, November 2021, bbab185, [https://doi.org/10.1093/bib/bbab185](https://doi.org/10.1093/bib/bbab185) [4] Mu, A., Klare, W.P., Baines, S.L. et al. Integrative omics identifies conserved and pathogen-specific responses of sepsis-causing bacteria. Nat Commun 14, 1530 (2023). [https://doi.org/10.1038/s41467-023-37200-w](https://doi.org/10.1038/s41467-023-37200-w) 2023-12-05 09:00:00 UTC 2023-12-07 17:00:00 UTC The Twelfth International Conference on Knowledge Capture Pensacola, Pensacola, United States of America Pensacola Pensacola United States of America ACM Special Interest Group on Artificial IntelligenceFlorida Institute for Human & Machine Cognition (IHMC) tyrone.chen@monash.edu, sonika.tyagi@rmit.edu.au, christina.hall@biocommons.org.au, melissa.burke@biocommons.org.au [] bioinformaticiansLife scientistsData scientists 40 workshopconference by_invitation Deep learningMachine learningNatural language processingBioinformaticsComputational Biology

  • Keeping Archives Online Learning Series

    1 July 2016 - 31 December 2025

    Keeping Archives Online Learning Series https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping

  • Introductory Statistics Online

    2 October - 10 November 2023

    Introductory Statistics Online https://dresa.org.au/events/introductory-statistics-online This six week online course introduces students to the basics of applied statistics used in disciplines including psychology, biology, medicine, health, engineering, business, sociology and the arts. The three main areas of study are descriptive statistics, probability distributions and statistical inference. The SPSS statistical computing package is an integral part of the course. 2023-10-02 09:00:00 UTC 2023-11-10 17:00:00 UTC La Trobe University Statistics Consultancy Platform La Trobe University, Kingsbury Drive, Bundoora, Australia La Trobe University, Kingsbury Drive Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 30 workshop open_to_all StatisticsFundamentals of Statistics SPSS

  • Basic Statistics with Stata (hybrid)

    9 - 10 November 2023

    Bundoora, Australia

    Basic Statistics with Stata (hybrid) https://dresa.org.au/events/basic-statistics-with-stata-hybrid WHAT IS STATA? Stata is a statistical software package which is particularly popular among researchers from a diverse range of fields. BASIC STATISTICS WITH STATA introduces statistical concepts in a non-technical way and emphasises their practical application in Stata. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-11-09 09:00:00 UTC 2023-11-10 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2 building, room 330 or online via Zoom, Bundoora, Australia Physical sciences 2 building, room 330 or online via Zoom Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 20 workshop open_to_all STATAStatistics

  • Introduction to Machine Learning in Bioinformatics

    12 - 15 November 2023

    Woolloongabba, Australia

    Introduction to Machine Learning in Bioinformatics https://dresa.org.au/events/introduction-to-machine-learning-in-bioinformatics **This workshop is jointly hosted by [Sonika Tyagi Lab](https://bioinformaticslab.erc.monash.edu/), [COMBINE](combine.org.au) and [Australian BioCommons](https://www.biocommons.org.au/).** Abstract: ​​DNA is the blueprint defining all living organisms. Therefore, understanding the nature and function of DNA is at the core of all biological studies. Rapid advances in DNA sequencing and computing technologies over the past few decades resulted in large quantities of DNA generated for diverse experiments, exceeding the growth of all major social media platforms and astronomy data combined [1]. However, biological data is both complex and high-dimensional, and is difficult to analyse with conventional methods. Machine learning is naturally well suited to problems with a large volume of data and complexity [2]. In particular, applying Natural Language Processing to the genome is intuitive, since DNA is a natural language. Unique challenges exist in Genome-NLP over natural languages, including the difficulty of word segmentation or corpus comparison. To tackle these challenges, we developed the first automated and open-source genomeNLP workflow that enables efficient and accurate knowledge extraction on biological data [1], automating and abstracting preprocessing steps unique to biology. This lowers the barrier to perform knowledge extraction by both machine learning practitioners and computational biologists. In this tutorial, we will demonstrate how our workflow can be used to address the above challenges, with implications in fields such as personalised medicine [3-4]. [1] [preprint] Chen, T., Tyagi, N., Chauhan, S., Peleg, A.Y. and Tyagi, S., 2023. genomicBERT and data-free deep-learning model evaluation. bioRxiv, pp.2023-05. [https://doi.org/10.1101/2023.05.31.542682](https://doi.org/10.1101/2023.05.31.542682) (This article is a preprint and has not been certified by peer review) [2] Chen, T., Tyagi, S. Integrative computational epigenomics to build data-driven gene regulation hypotheses, GigaScience, Volume 9, Issue 6, June 2020, giaa064, [https://doi.org/10.1093/gigascience/giaa064](https://doi.org/10.1093/gigascience/giaa064) [3] Chen, T., Philip, M., Lê Cao, K-A., Tyagi, S. A multi-modal data harmonisation approach for discovery of COVID-19 drug targets, Briefings in Bioinformatics, Volume 22, Issue 6, November 2021, bbab185, [https://doi.org/10.1093/bib/bbab185](https://doi.org/10.1093/bib/bbab185) [4] Mu, A., Klare, W.P., Baines, S.L. et al. Integrative omics identifies conserved and pathogen-specific responses of sepsis-causing bacteria. Nat Commun 14, 1530 (2023). [https://doi.org/10.1038/s41467-023-37200-w](https://doi.org/10.1038/s41467-023-37200-w) 2023-11-12 09:00:00 UTC 2023-11-15 17:00:00 UTC 22nd International Conference on Bioinformatics (InCoB 2023) Translational Research Institute, 37 Kent Street, Woolloongabba, Australia Translational Research Institute, 37 Kent Street Woolloongabba Australia 4102 Translational Research InstituteQueensland University of TechnologyAsia Pacific Bioinformatics Network tyrone.chen@monash.edu, sonika.tyagi@rmit.edu.au, christina.hall@biocommons.org.au, melissa.burke@biocommons.org.au, combine@combine.org.au [] bioinformaticiansLife scientistsData scientists 40 workshopconference by_invitation Deep learningMachine learningNatural language processingBioinformaticsComputational Biology

  • Basic Statistics with R (hybrid)

    13 - 14 November 2023

    Bundoora, Australia

    Basic Statistics with R (hybrid) https://dresa.org.au/events/basic-statistics-with-r-hybrid BASIC STATISTICS WITH R introduces statistical concepts in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-11-13 09:00:00 UTC 2023-11-14 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2 Room 330 or Zoom. , Bundoora, Australia Physical sciences 2 Room 330 or Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researcherresearch students 20 workshop open_to_all StatisticsR statistical software

  • Sample Size Calculation Workshop (hybrid)

    15 November 2023

    Bundoora, Australia

    Sample Size Calculation Workshop (hybrid) https://dresa.org.au/events/sample-size-calculation-workshop-hybrid WHAT IS G*POWER? G*Power is a free statistical software package for power and sample size analysis. It offers point-and-click functionality and covers a wide variety of statistical tests. In this 1-day workshop, concepts of statistical power and relevant statistical tests are covered in a non-technical way. Designed to be hands-on, the workshop focuses on the practical application of statistical methods. There will be plenty of opportunities to access in-class support. 2023-11-15 09:00:00 UTC 2023-11-15 15:00:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Room 330 (Kurt Gödel Lab), or online via Zoom., Bundoora, Australia Physical sciences 2, Room 330 (Kurt Gödel Lab), or online via Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 20 workshop open_to_all G*PowerStatisticssample size calculation

  • ResBaz Queensland 2023

    21 - 23 November 2023

    Saint Lucia, Australia

    ResBaz Queensland 2023 https://dresa.org.au/events/resbaz-queensland-2023 The 2023 Queensland Research Bazaar will be a three-day intensive conference where researchers will come together to up-skill in 'next generation digital research tools and skills', hear high-profile keynote speakers, join in networking and career development activities, and connect with their peers from across the SE Qld area. ResBaz is a highly participatory event where researchers from many different disciplines can learn, share knowledge and skills, and have fun! 2023-11-21 09:00:00 UTC 2023-11-23 17:00:00 UTC QCIF Michie Building (9), 9 Chancellors Place, The University of Queensland, Saint Lucia, Australia Michie Building (9), 9 Chancellors Place, The University of Queensland Saint Lucia Australia 4072 QCIFthe University of Queensland resbaz@qcif.edu.au [] HDR studentsPhD studentsECRsAll researchersProfessional/support staff LibrariansData custodians 500 workshopconferencemeeting open_to_all data sciencedigital skillsdata managementcareer development

  • Intermediate Statistics with R: Regression Analysis (hybrid)

    23 - 24 November 2023

    Bundoora, Australia

    Intermediate Statistics with R: Regression Analysis (hybrid) https://dresa.org.au/events/intermediate-statistics-with-r-regression-analysis-hybrid INTERMEDIATE STATISTICS WITH R introduces various types of regression models in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-11-23 09:00:00 UTC 2023-11-24 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Kurt Gödel Laboratory, room 330, or online via Zoom., Bundoora, Australia Physical sciences 2, Kurt Gödel Laboratory, room 330, or online via Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop open_to_all R statistical softwareStatistics

  • Decoding the grammar of DNA using Natural Language Processing

    5 - 7 December 2023

    Pensacola, United States of America

    Decoding the grammar of DNA using Natural Language Processing https://dresa.org.au/events/decoding-the-grammar-of-dna-using-natural-language-processing **This workshop is jointly hosted by [Sonika Tyagi Lab](https://bioinformaticslab.erc.monash.edu/), and [Australian BioCommons](https://www.biocommons.org.au/).** Abstract: ​​DNA is the blueprint defining all living organisms. Therefore, understanding the nature and function of DNA is at the core of all biological studies. Rapid advances in DNA sequencing and computing technologies over the past few decades resulted in large quantities of DNA generated for diverse experiments, exceeding the growth of all major social media platforms and astronomy data combined [1]. However, biological data is both complex and high-dimensional, and is difficult to analyse with conventional methods. Machine learning is naturally well suited to problems with a large volume of data and complexity [2]. In particular, applying Natural Language Processing to the genome is intuitive, since DNA is a natural language. Unique challenges exist in Genome-NLP over natural languages, including the difficulty of word segmentation or corpus comparison. To tackle these challenges, we developed the first automated and open-source genomeNLP workflow that enables efficient and accurate knowledge extraction on biological data [1], automating and abstracting preprocessing steps unique to biology. This lowers the barrier to perform knowledge extraction by both machine learning practitioners and computational biologists. In this tutorial, we will demonstrate how our workflow can be used to address the above challenges, with implications in fields such as personalised medicine [3-4]. [1] [preprint] Chen, T., Tyagi, N., Chauhan, S., Peleg, A.Y. and Tyagi, S., 2023. genomicBERT and data-free deep-learning model evaluation. bioRxiv, pp.2023-05. [https://doi.org/10.1101/2023.05.31.542682](https://doi.org/10.1101/2023.05.31.542682) (This article is a preprint and has not been certified by peer review) [2] Chen, T., Tyagi, S. Integrative computational epigenomics to build data-driven gene regulation hypotheses, GigaScience, Volume 9, Issue 6, June 2020, giaa064, [https://doi.org/10.1093/gigascience/giaa064](https://doi.org/10.1093/gigascience/giaa064) [3] Chen, T., Philip, M., Lê Cao, K-A., Tyagi, S. A multi-modal data harmonisation approach for discovery of COVID-19 drug targets, Briefings in Bioinformatics, Volume 22, Issue 6, November 2021, bbab185, [https://doi.org/10.1093/bib/bbab185](https://doi.org/10.1093/bib/bbab185) [4] Mu, A., Klare, W.P., Baines, S.L. et al. Integrative omics identifies conserved and pathogen-specific responses of sepsis-causing bacteria. Nat Commun 14, 1530 (2023). [https://doi.org/10.1038/s41467-023-37200-w](https://doi.org/10.1038/s41467-023-37200-w) 2023-12-05 09:00:00 UTC 2023-12-07 17:00:00 UTC The Twelfth International Conference on Knowledge Capture Pensacola, Pensacola, United States of America Pensacola Pensacola United States of America ACM Special Interest Group on Artificial IntelligenceFlorida Institute for Human & Machine Cognition (IHMC) tyrone.chen@monash.edu, sonika.tyagi@rmit.edu.au, christina.hall@biocommons.org.au, melissa.burke@biocommons.org.au [] bioinformaticiansLife scientistsData scientists 40 workshopconference by_invitation Deep learningMachine learningNatural language processingBioinformaticsComputational Biology

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