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  • Data Interpretation and Reporting with R

    11 May 2016

    Brisbane, Australia

    Data Interpretation and Reporting with R https://tess.elixir-europe.org/events/data-interpretation-and-reporting-with-r This hands-on workshop will introduce users of the R software environment to the techniques involved in generating reproducible, dynamic data analyses and reports. Using literate programming approaches, participants will learn to build automated reusable reports in R. Practical exercises will include integration and manipulation of datasets, generation of summary statistics about a dataset, and how to produce high-quality tables and charts. Recommended participants Biologists and bioinformaticians wishing to structure and interpret data and generate dynamic reports using R. Prior expertise with R and the command line interface is required, to a level equivalent of that provided by the QFAB workshop “Introduction to R”. What will I learn? During this course you will learn about: Building dynamic reports for reproducible research with literate programming techniques Reformatting data and summarising and integrating datasets Generating high-quality graphic presentations of data Producing reusable scripts in R After this course you should be able to: Import tabular data files into R Use R to merge data from two or more files based on common fields Extract data from a table and summarise it in both text and graphical formats Create a knitR template that combines automated data analysis with free-form text interpretation 2016-05-11 09:00:00 UTC 2016-05-11 00:00:00 UTC University of Queensland University of Queensland, Brisbane, Australia University of Queensland Brisbane Australia Data architecture, analysis and design [] [] [] workshops_and_courses [] ABRRQFAB
  • Differential Gene Expression Analysis with R (microarray and NGS)

    25 May 2016

    Brisbane, Australia

    Differential Gene Expression Analysis with R (microarray and NGS) https://tess.elixir-europe.org/events/differential-gene-expression-analysis-with-r-microarray-and-ngs This hands-on workshop will introduce users of the R software environment to the specific skills and applications used in the analysis of microarray and next-generation sequencing (NGS) data. Practical exercises will include quality control and normalisation of data for differential gene expression, and linking genomic information to external public datasets. Recommended participants Biologists and bioinformaticians wishing to use R for RNA expression analysis. Prior expertise with R and the command line interface is required, to a level equivalent of that provided by the QFAB workshop “Introduction to R”. What will I learn? During this course you will learn about: Pre-processing and quality control of microarray and RNA-Seq data The use of R packages for the identification of differentially-expressed genes from expression data Systems biology interpretation of gene lists using pathway analysis Integration of expression and genome data with Ensembl databases After this course you should be able to: Import Affymetrix CEL files to R as data objects Carry out standard QC tests on microarray and RNA-Seq datasets Use the limma-voom R package to produce lists of differentially expressed genes between pairs of samples Identify over-represented gene ontology categories in gene lists using the GOStats package 2016-05-25 09:00:00 UTC 2016-05-25 00:00:00 UTC University of Queensland, Brisbane, Australia University of Queensland Brisbane Australia Sequencing Gene expression Data architecture, analysis and design [] [] [] workshops_and_courses [] ABRQFABR
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