Introduction to Git & GitHub
13 September 2022
Gent, BelgiumIntroduction to Git & GitHub https://training.vib.be/all-trainings/introduction-git-github-4 https://tess.elixir-europe.org/events/introduction-to-git-github-8940e2af-04a9-4656-b96a-e95dc30d4469 This workshop will take you through the basic use of Git and GitHub. Git is a free and open source distributed version-control system designed to maintain code, track changes, recover old versions and collaborate with other developers. **Objectives** Get you started with Git from zero (note that if you already use Git, this workshop will be too basic for you). We'll explore Git on the command-line and its interaction with GitHub. * Introduction, set-up, configurations * Working locally: Create a repository, clone, edit, staging commits, commit, push * Working with your history logs * Working in a project: Branching, pull requests During the workshop we also briefly discuss how you can setup a collaboration project. 2022-09-13 09:00:00 UTC 2022-09-13 17:00:00 UTC VIB Bioinformatics Core Technologiepark-Zwijnaarde 75, Technologiepark-Zwijnaarde, Gent, Belgium Technologiepark-Zwijnaarde 75, Technologiepark-Zwijnaarde Gent Oost-Vlaanderen Belgium 9052 Software engineering Data management FAIR data VIB email@example.com  Life Science Researchers 20 workshops_and_courses first_come_first_served ReproducibilityVersion control
Bulk RNASeq: from counts to differential expression
22 September 2022
Leuven, BelgiumBulk RNASeq: from counts to differential expression https://training.vib.be/all-trainings/bulk-rnaseq-counts-differential-expression-2 https://tess.elixir-europe.org/events/bulk-rnaseq-from-counts-to-differential-expression-d04c2734-cde1-403b-93f9-d37d30e833b1 The course consists of e-learning on counting and two face-to-face sessions on differential expression analysis in R and all the questions that arise when trying the analysis on your own data. **Objectives** The course will show: * Tools to generate count files like featureCounts, and htseq count are demonstrated * Count files from HTSeq-Count, FeatureCounts, Salmon or Kallisto are used to identify differentially expressed genes On the second day, participants can analyze their own count files. Issues are solved and questions are answered by experts from the VIB Nucleomics Core. **Required skills** * Knowledge of NGS data formats and the first steps in the analysis workflow (fastqc -> bam files). If you are a newbie in the field, you have to follow the NGS introduction training first. * Experience in R programming. If you never worked in R you should attend the R introduction training first. **Software demonstrated** * Counting using Galaxy: STAR, htseq-counts, FeatureCounts * Identification of DE using Bioconductor: DESeq2 + other packages like tximeta (script for EdgeR is provided but not demonstrated) * Visualization of results using R: ggplot2, pheatmap * Mapping of IDs to Gene symbols using Bioconductor: AnnotationDbi 2022-09-22 09:30:00 UTC 2022-09-22 17:00:00 UTC VIB Bioinformatics Core Herestraat 49, 49, Herestraat, Leuven, Belgium Herestraat 49, 49, Herestraat Leuven Vlaams-Brabant Belgium RNA-Seq Sequencing VIB firstname.lastname@example.org  Life Science Researchers 20 workshops_and_courses first_come_first_served 
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