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Target audience: Researchers and research st... 

  • Introduction to R for biologists

    28 September 2022

    North Melbourne, Australia

    Introduction to R for biologists https://dresa.org.au/events/introduction-to-r-for-biologists This workshop has been developed collaboratively by training specialists at Peter MacCallum Cancer Center and Melbourne Bioinformatics. This introduction to R and RStudio will provide beginners with experience with loading, manipulating and visualising biological data using the tidyverse collection of R packages. The example data used is publicly available RNA-seq data, therefore attendees will gain experience in the structure and appearance of RNA-seq data. 2022-09-28 10:00:00 UTC 2022-09-28 13:00:00 UTC Melbourne Bioinformatics 21 Bedford Street, North Melbourne, Australia 21 Bedford Street North Melbourne Australia 3051 University of Melbourne bioinformatics-training@unimelb.edu.au [] beginnersLife scientists planning or running single cell RNAseq experiments (or mining public data), who want to perform their own analyses.Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop host_institution RIntroductoryRNASeq
  • Network analysis of differentially-expressed genes using vissE and Cytoscape

    29 September 2022

    North Melbourne, Australia

    Network analysis of differentially-expressed genes using vissE and Cytoscape https://dresa.org.au/events/network-analysis-of-differentially-expressed-genes-using-visse-and-cytoscape In biological data, similarity between genes/proteins can be exploited to identify biological functions or pathways. For example, investigating pairwise protein-protein interactions can help us identify protein complexes that have related functions. Such analyses require pairwise interaction or similarity data to be represented as a biological network. Once generated, networks can be used to investigate various structural and topological characteristics to identify key entities in the network. A popular and powerful tool to visualise and analyse biological networks is Cytoscape. This workshop is in two parts. First, using an RNAseq data set from human cancer you will use the vissE tool analyse a list of differentially-expressed (DE) genes and generate a PPI network. In the second half you will be introduced to Cytoscape interface and learn how biological networks can be uploaded and analysed in Cytoscape. 2022-09-29 10:30:00 UTC 2022-09-29 15:00:00 UTC Melbourne Bioinformatics 21 Bedford Street, North Melbourne, Australia 21 Bedford Street North Melbourne Australia 3051 University of MelbourneMelbourne Bioinformatics bioinformatics-training@unimelb.edu.au [] beginnersResearchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop host_institution CytoscapevissEgene listsNetworks
  • Variant calling using GATK4 command line workflow

    19 October 2022

    North Melbourne, Australia

    Variant calling using GATK4 command line workflow https://dresa.org.au/events/variant-calling-using-gatk4-command-line-workflow This workshop aims to introduce participants to variant calling using command line applications. The material follows the GATK variant calling best practices workflow and provides an introduction to tools, datatypes and file formats associated with variant calling. The workshop will use a test llumina sequencing dataset to progress through the workflow from aligning sequencing reads to a reference genome before applying the GATK best practices workflow to call genetic variants (SNVs and Indels) in test data. 2022-10-19 10:00:00 UTC 2022-10-19 14:00:00 UTC Melbourne Bioinformatics 21 Bedford Street, North Melbourne, Australia 21 Bedford Street North Melbourne Australia 3051 University of MelbourneMelbourne Bioinformatics bioinformatics-training@unimelb.edu.au [] Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 [] host_institution Variant callingGATK4
  • Introduction to R for biologists

    27 October 2022

    North Melbourne, Australia

    Introduction to R for biologists https://dresa.org.au/events/introduction-to-r-for-biologists-49a52478-709d-4e02-8361-e891f7fcab67 This workshop has been developed collaboratively by training specialists at Peter MacCallum Cancer Center and Melbourne Bioinformatics. This introduction to R and RStudio will provide beginners with experience with loading, manipulating and visualising biological data using the tidyverse collection of R packages. The example data used is publicly available RNA-seq data, therefore attendees will gain experience in the structure and appearance of RNA-seq data. 2022-10-27 10:00:00 UTC 2022-10-27 13:00:00 UTC Melbourne Bioinformatics 21 Bedford Street, North Melbourne, Australia 21 Bedford Street North Melbourne Australia 3051 University of Melbourne bioinformatics-training@unimelb.edu.au [] beginnersLife scientists planning or running single cell RNAseq experiments (or mining public data), who want to perform their own analyses.Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop host_institution RIntroductoryRNASeq
  • Introduction to R for biologists

    28 September 2022

    North Melbourne, Australia

    Introduction to R for biologists https://dresa.org.au/events/introduction-to-r-for-biologists This workshop has been developed collaboratively by training specialists at Peter MacCallum Cancer Center and Melbourne Bioinformatics. This introduction to R and RStudio will provide beginners with experience with loading, manipulating and visualising biological data using the tidyverse collection of R packages. The example data used is publicly available RNA-seq data, therefore attendees will gain experience in the structure and appearance of RNA-seq data. 2022-09-28 10:00:00 UTC 2022-09-28 13:00:00 UTC Melbourne Bioinformatics 21 Bedford Street, North Melbourne, Australia 21 Bedford Street North Melbourne Australia 3051 University of Melbourne bioinformatics-training@unimelb.edu.au [] beginnersLife scientists planning or running single cell RNAseq experiments (or mining public data), who want to perform their own analyses.Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop host_institution RIntroductoryRNASeq
  • Network analysis of differentially-expressed genes using vissE and Cytoscape

    29 September 2022

    North Melbourne, Australia

    Network analysis of differentially-expressed genes using vissE and Cytoscape https://dresa.org.au/events/network-analysis-of-differentially-expressed-genes-using-visse-and-cytoscape In biological data, similarity between genes/proteins can be exploited to identify biological functions or pathways. For example, investigating pairwise protein-protein interactions can help us identify protein complexes that have related functions. Such analyses require pairwise interaction or similarity data to be represented as a biological network. Once generated, networks can be used to investigate various structural and topological characteristics to identify key entities in the network. A popular and powerful tool to visualise and analyse biological networks is Cytoscape. This workshop is in two parts. First, using an RNAseq data set from human cancer you will use the vissE tool analyse a list of differentially-expressed (DE) genes and generate a PPI network. In the second half you will be introduced to Cytoscape interface and learn how biological networks can be uploaded and analysed in Cytoscape. 2022-09-29 10:30:00 UTC 2022-09-29 15:00:00 UTC Melbourne Bioinformatics 21 Bedford Street, North Melbourne, Australia 21 Bedford Street North Melbourne Australia 3051 University of MelbourneMelbourne Bioinformatics bioinformatics-training@unimelb.edu.au [] beginnersResearchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop host_institution CytoscapevissEgene listsNetworks
  • Variant calling using GATK4 command line workflow

    19 October 2022

    North Melbourne, Australia

    Variant calling using GATK4 command line workflow https://dresa.org.au/events/variant-calling-using-gatk4-command-line-workflow This workshop aims to introduce participants to variant calling using command line applications. The material follows the GATK variant calling best practices workflow and provides an introduction to tools, datatypes and file formats associated with variant calling. The workshop will use a test llumina sequencing dataset to progress through the workflow from aligning sequencing reads to a reference genome before applying the GATK best practices workflow to call genetic variants (SNVs and Indels) in test data. 2022-10-19 10:00:00 UTC 2022-10-19 14:00:00 UTC Melbourne Bioinformatics 21 Bedford Street, North Melbourne, Australia 21 Bedford Street North Melbourne Australia 3051 University of MelbourneMelbourne Bioinformatics bioinformatics-training@unimelb.edu.au [] Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 [] host_institution Variant callingGATK4
  • Introduction to R for biologists

    27 October 2022

    North Melbourne, Australia

    Introduction to R for biologists https://dresa.org.au/events/introduction-to-r-for-biologists-49a52478-709d-4e02-8361-e891f7fcab67 This workshop has been developed collaboratively by training specialists at Peter MacCallum Cancer Center and Melbourne Bioinformatics. This introduction to R and RStudio will provide beginners with experience with loading, manipulating and visualising biological data using the tidyverse collection of R packages. The example data used is publicly available RNA-seq data, therefore attendees will gain experience in the structure and appearance of RNA-seq data. 2022-10-27 10:00:00 UTC 2022-10-27 13:00:00 UTC Melbourne Bioinformatics 21 Bedford Street, North Melbourne, Australia 21 Bedford Street North Melbourne Australia 3051 University of Melbourne bioinformatics-training@unimelb.edu.au [] beginnersLife scientists planning or running single cell RNAseq experiments (or mining public data), who want to perform their own analyses.Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop host_institution RIntroductoryRNASeq

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