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Dates:
18.05 - 20.05.2020  STATUS
Venue:
Online

Workshop: Analysing and Visualizing Data with R and Galaxy

18-20 May 2020, Online

 

WS3

 

Summary

Workshop is focused on using tools such as Galaxy and R Studio to analyze and visualize NGS data. It consists of three parts and includes:

Day 1: Introduction to the web-based platform Galaxy. Lecturer Dr. Vesselin Baev

  • 11.00-12.00 Introduction to Galaxy (online)
  • 12.00-13.00 Visualization of RNA-Seq results with Volcano Plot (hands-on)
  • 13.00-13.30 Online support
  • 13.30-15.00 Visualization of RNA-Seq results with heatmap (hands-on)
  • 15.00-15.30 Online support

Day 2: RStudio and R graphics system. Lecturer Dr. Zdravka Ivanova

  • 11.00-11.30 Introduction to RStudio Cloud and R graphics system (online)
  • 11.30-13.00 Getting started with RStudio Cloud and working with traditional R base plots.
  • 13.00-13.30 Online support
  • 13.30-15.00 Working with lattice and ggplot2 R packages. R modeling (hands-on)
  • 15.00-15.30. Online support

Day 3: Introduction machine learning. Lecturer Dr. George Minkov

  • 11.00-11.30 Introduction machine learning (online)
  • 12.00-13.30 Basics of machine learning (hands-on)
  • 13.00-13.30 Online support
  • 14.00-15.00 Introduction to deep learning (hands-on)
  • 15.00-15.30 Online support

 

Acknowledgements

This workshop is supported by funding from project PlantaSYST, as well as the IMBB Plovdiv.

  • Dr. Vesselin Baev, The Institute of Molecular Biology and Biotechnology (IMBB, University of Plovdiv), Plovdiv, Bulgaria.
  • Dr. George Minkov, The Institute of Molecular Biology and Biotechnology (IMBB, University of Plovdiv), Plovdiv, Bulgaria.
  • Dr. Zdravka Ivanova, The Institute of Molecular Biology and Biotechnology (IMBB, University of Plovdiv), Plovdiv, Bulgaria.
EU PlantaSYST has received funding from the European Union's Horizon 2020 research and innovation programme, project PlantaSYST (SGA-CSA No. 739582 under FPA No. 664620), and the BG05M2OP001-1.003-001-C01 project, financed by the European Regional Development Fund through the "Science and Education for Smart Growth" Operational Programme SESG
   
  Calls: H2020-WIDESPREAD-2014-2015, Topic: WIDESPREAD-1-2014: Teaming, and H2020-WIDESPREAD-2016-2017, Topic: H2020-WIDESPREAD-01-2016-2017: TeamingPhase2