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Scientific topics: RNA-Seq  or Computational biology 

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City: Bogota  or Copenhagen  or Edinburgh  or Palm Springs  or Berkeley  or Sheffield  or Liverpool 

  • Introduction to RNA-seq Data Analysis

    17 - 19 February 2020

    Edinburgh, United Kingdom

    Elixir node event
    Introduction to RNA-seq Data Analysis https://tess.elixir-europe.org/events/introduction-to-rna-seq-data-analysis-5989e86e-a408-481d-b3c7-5a1413b0e4a6 RNA sequencing (RNA-seq) is quickly becoming the method of choice for transcriptome profiling. Nevertheless, it is a non-trivial task to transform the vast amount of data obtained with high-throughput sequencers into useful information. Thus, RNA-seq data analysis is still a major bottleneck for most researchers in this field. The ability of correctly interpreting RNA-seq results, as well as knowledge on the intrinsic properties of these data, are essential to avoid incorrect experimental designs and the application of inappropriate analysis methodologies. The aim of this workshop is to familiarise researchers with RNA-seq data and to initiate them in the analysis by providing lectures and practicals on analysis methodologies. In the practicals Illumina-generated sequencing data and various widely used software programs will be used. 2020-02-17 09:00:00 UTC 2020-02-19 17:00:00 UTC Kings Buildings, The University of Edinburgh, Edinburgh, United Kingdom Kings Buildings, The University of Edinburgh Edinburgh United Kingdom EH25 9RG RNA-Seq Genomics Bioinformatics Edinburgh Genomics Edinburgh Genomics Training Team - edge-training@ed.ac.uk [] [] workshops_and_courses [] HDRUK
  • R for beginners

    1 - 3 April 2020

    Liverpool, United Kingdom

    R for beginners https://tess.elixir-europe.org/events/r-for-beginners R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. This course covers: Day 1: Foundations of R: get familiar with R, R studio, operators, variables, functions, directories and the script editor Day 2: Visualisation in basic R (boxplots, scatterplots, line graphs and histograms) and ggplot2 (same types of plots and also manipulation of data for use within this package as well as simple linear regression) Day 3: Introduction to statistical analyses in R: univariate statistics (choosing the right test, checking data assumptions, calculating and extracting the values to report in publications) and Principal Component Analysis (calculation and visualisation with ggplot2) Extra materials: Introduction to the Tidyverse, Introduction to for loops All materials have been built using relevant life sciences/clinical examples. The course has been designed to introduce R from the very basics. Therefore applicants do not need any prior experience to attend, just the desire to learn R. Real life examples with bioinformatic applications are included. 2020-04-01 09:00:00 UTC 2020-04-03 17:00:00 UTC Computational Biology Facility University of Liverpool, Liverpool, United Kingdom University of Liverpool Liverpool Merseyside United Kingdom L69 3GH Computational biology Statistics and probability University of Liverpool Computational Biology Facility (cbf@liverpool.ac.uk) [] [] workshops_and_courses first_come_first_served R-programmingbiostatistics Statistics R programminglife sciences, bioinformaticsClinical Bioinformatics

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