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  • 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
  • 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
  • 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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