GTN Learning Pathway
Introduction to Galaxy and Ecological data analysis
This learning path aims to teach you the basics of Galaxy and analysis of ecological data. You will learn how to use Galaxy for analysis, and will be guided through the common steps of biodiversity data analysis: download, check, filter and explore biodiversity data and analyze abundance data through modeling.
New to Galaxy and/or the field of ecology? Follow this learning path to get familiar with the basics!
Module 1: Introduction to Galaxy
Get a first look at the Galaxy platform for data analysis. We start with a short introduction (video slides & practical) to familiarize you with the Galaxy interface, and then proceed with a slightly longer introduction tutorials where you perform a first, very simple, analysis.
|A short introduction to Galaxy|
Module 2: Basics of Biodiversity data exploration
When analysing biodiversity data, you should often explore your data (and/or existing data from GBIF for example) looking at geographical, taxonomic or temporal components to clean it and make sure your data is good enough to answer your research question.
|Biodiversity data exploration|
|Cleaning GBIF data for the use in Ecology|
Module 3: Basics of Biodiversity abundance data analysis
Working on abundance data, you often want to analyze it through modeling to compute and analyze biodiversity metrics.
|Compute and analyze biodiversity metrics with PAMPA toolsuite|
This material is reviewed by our Editorial Board:
This material was funded by:Erasmus+ Programme