20 - 22 February 2017
Leuven, BelgiumGATK workshop http://www.vib.be/en/training/research-training/courses/Pages/GATK-Best-practices-for-variant-discovery.aspx https://tess.elixir-europe.org/events/gatk-workshop This workshop will focus on the core steps involved in calling variants with the Broad’s Genome Analysis Toolkit, using the “Best Practices” developed by the GATK team. You will learn why each step is essential to the variant discovery process what are the operations performed on the data at each step how to use the GATK tools to get the most accurate and reliable results out of your dataset. • samtools Familiarity with Please note that this workshop is focused on human data analysis. The majority of the materials presented does apply equally to non-human data, and we will address some questions regarding adaptations that are needed for analysis of non-human data, but we will not go into much detail on those points. The training will take 3 days, you can register for each day separately 2017-02-20 09:30:00 UTC 2017-02-22 17:00:00 UTC VIB Bioinformatics Core Park Inn by Radisson Leuven, Leuven, Belgium Park Inn by Radisson Leuven Leuven Vlaams-Brabant Belgium 3010 Sequence analysis      GATKBroad's Genome Analysis Toolkit
Handle your data the tidy way: Data science using R and the tidyverse
13 December 2017
Leuven, BelgiumHandle your data the tidy way: Data science using R and the tidyverse https://bbc2017blog.wordpress.com/workshops/ https://tess.elixir-europe.org/events/handle-your-data-the-tidy-way-data-science-using-r-and-the-tidyverse The use of R in the data science field has increased enormously the last few years. One very useful toolkit for a wide variety of analyses is the ‘tidyverse’: a collection of R-packages used for data manipulation, exploration and visualization that share a common design philosophy. Tidyverse packages are intended to make statisticians and data scientists more productive by guiding them through workflows that facilitate communication, and result in reproducible work products. In this workshop you will learn: The difference between tidy and untidy data How to create tidy datasets and manipulate them using the main tidyr and dplyr verbs Make your results reproducible by using Rmarkdown and Rstudio Integrate data visualisation into your workflow using ggplot2 Apply the tidyverse to biological problems LEVEL: A very basic knowledge of the R programming language (or any other programming language) is expected. We expect a little bit of R-experience for this workshop. If you’re already an R-wizard but never did anything using Tidyverse, then this workshop is a great introduction to it! If you’re not an R-wizard but now a little bit of R, then this course is a great way to improve your R-skills fast. If you’re already pretty good with Tidyverse, I guess we can not help you as this is an introduction Please remember to bring your own laptop with the last version of R installed. Location: Campus Gusthuisberg O&N2 HP5 (05.204) and HP7 (05.208) classrooms 2017-12-13 14:00:00 UTC 2017-12-13 18:00:00 UTC Stijn Wittouck and Sander Wuyts UCLL Campus Gasthuisberg, 49, Herestraat, Leuven, Belgium UCLL Campus Gasthuisberg, 49, Herestraat Leuven Vlaams-Brabant Belgium KU Leuven Daniele Parisi firstname.lastname@example.org Elixir Belgium bioinformaticians   R-programmingtidyverse
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