Quick introduction to RStudio
This short course “Quick introduction to RStudio” (23 January 2018) aims at introducing the basic features in RStudio to get started with R. It will follow-up with a workshop in data manipulation using tidyverse.
This short course “Quick introduction to RStudio” (23 January 2018) aims at introducing the basic features in RStudio to get started with R. It will follow-up with a workshop in data manipulation using tidyverse.
This training is organised in the framework of the ELIXIR Implementation study “Using clouds and VMs for bioinformatics training”.
Workshops on the fundamental data skills for data-driven research. This workshop is aimed at researchers and graduate students who want to be introduced to the following topics: R for reproducible analysis, introduction to databases and data organisation using spreadsheets. If you have a bit of exposure to R, this workshop is for you, we will use packages from tidyverse like ggplot2 and ddplyr using an ecology dataset.
This short workshop gets you started with Git from zero and is intended for life scientists who have an existing project with code (in any language) or text files that need track of changes.
This workshop is organised by ELIXIR Belgium; the trainer is Paula Andrea Martinez.
More information and registration on this link.
The Summer School is an unmissable learning opportunity for all life scientists analysing transcriptomics data. The aim of the course is to keep up with recent developments in transcriptome data analysis and bring own data along to analyse during the course under the supervision of expert trainers. This will provide the ultimate hands-on experience in Next Generation Sequencing data processing.
This practical aims to familiarize you with the Galaxy user interface & execute a complete analysis of RNA-seq data.
It will teach you how to perform basic tasks such as importing data, running tools, working with histories, creating workflows, and sharing your work. In this tutorial, we will introduce you to bare basics of Galaxy:
In this workshop, we address how to predict features of proteins from their sequence only, using Python scripts to access APIs of web services available online. We will introduce single-sequence based predictions of biophysical characteristics of proteins (e.g. DynaMine for backbone dynamics), methods that use multiple sequence alignments (e.g. I-TASSER), and methods that determine the difference between a protein and its mutant form (e.g. DEOGEN2). We will also show how the results of these predictions can be combined and analysed using a protein case study.
One-day ELIXIR course on public proteomics data reprocessing and the Tabloid Proteome. Tabloid Proteome is a database of protein association network generated using publically available mass spectrometry based experiments in PRIDE. These associations represent a broad scala of biological associations between pairs of proteins that goes well beyond mere binary protein interactions.
Topics:
This course is currently only offered in Dutch
Deze navormingscyclus is gericht op medewerkers die werkzaam zijn in de medische moleculaire diagnostiek en wordt georganiseerd door AZ Sint-Jan campus Brugge, UZ Gent en Hogeschool West-Vlaanderen (Howest) campus Brugge.
Het doel van deze opleiding is om meer inzicht te verwerven in de bio-informatica processen die toegepast worden in de medische moleculaire diagnostiek. Hierbij wordt telkens aandacht geschonken aan het verwerven van extra skills via oefeningen (blasten, data-analyse …).
Two-day workshop for individuals involved in teaching and training in bioinformatics and related fields. The workshop covers learning principles and how they apply to training, training techniques that can be used to enhance the learner engagement and participation, assessment and feedback in training, course and materials design.
This ELIXIR Train the Trainer workshop is organised by ELIXIR Belgium and ELIXIR the Netherlands, in cooperation with the ELIXIR-EXCELERATE Train-The-Trainer programme. The trainers are Paula Andrea Martinez and Mateusz Kuzak.